Gregg Legarda's Background

Information systems technology professional with a unique background in the US Navy and in Healthcare, as well as excellent skills in a variety of technical languages and platforms, analysis, and systems design. After learning about health science and how medical laboratories functioned, directed attention to developing easier and more efficient processes through technology and systems. Strengthened knowledge and abilities in data science and computer science for a solid foundation. Earned a degree of Master of Science in Information Systems Technology with a Graduate Certificate in Data Science, and Bachelor of Business Administration in Information Systems Technology Management with a Computer Science minor.

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Education

George Washington University

  • Master of Science in Information Systems Technology - May 2020
  • Graduate Certificate in Data Science - May 2020
  • Bachelor of Business Administration in Information Systems Technology Management - May 2019
  • Undergraduate Minor in Computer Science - May 2019
  • Associate of Science in Health Science in Medical Laboratory Technology (ASCP certified) - May 2013
  • Undergraduate Certificate in Health Science in Medical Laboratory Technology - May 2012
  • American Society for Clinical Pathology Board of Certification (ASCP Certification) - Jan 2012


Other Schools Attended:

  • Naval School of Health Sciences - San Diego, California
  • Naval Medical Center - San Diego, California
  • Medical Education and Training Campus - Fort Sam Houston, Texas
  • Naval Hospital Corps School - Great Lakes, Illinois
  • Chipola University - Marianna, Florida
  • Bicol University Tabaco Campus (Nursing) - Tabaco, Albay, Philippines
  • Bicol College High School (Diploma Awarded) - Daraga, Albay, Philippines
  • Daraga National High School - Daraga, Albay, Philippines
  • Bicol University College of Education Laboratory School - Daraga, Albay, Philippines
  • Sunshine International Learning School - Daraga, Albay, Philippines

Certificates:

  • Master of Science in Information Systems Technology
  • Graduate Certificate Data Science
  • Bachelor of Business Administration
  • Health Science Laboratory Technology
  • Associate in Science
  • Certified Medical Laboratory Technician (ASCP)
  • American Society for Clinical Pathology Maintenance (ASCP)
  • Certified Project Manager
  • Certified Lean Six Sigma Green Belt
  • Certified Lean Six Sigma Yellow Belt
  • Excel Professional
  • Jira Agile Project Management
  • Cloud Computing
  • R Programming
  • Jira Agile Project Management

Career

Data Scientist III
Research Scientist III
Instructional Staff
Data Visualization Web Developer
Scientific Programmer II
Computer Systems Analyst II
Data Analyst
Research Intern
District Representative
Medical Laboratory Technician
Cytologist Assistant
Hospital Corpsman


US Navy BUMED

I am a Data Scientist III / Research Scientist III at US Navy Bureau of Medicine and Surgery (BUMED) under the Consolidated Information Center (CIC) contract, supported by Teledyne Brown Engineering, Mission Systems Branch. Working in the Navy Readiness Execution Analytics Business Intelligence (NREA-BI) Team and Consolidated Information Center (CIC) Analytics Team, having a Secret Clearance Eligibility.

Eligibility: Secret
  • Investigation Type: T3
  • Security Clearance: Secret
  • Interim Clearance Date: 06/07/2021
  • Investigation Closing Date: 07/26/2021
  • Clearance Date: 08/06/2021
Summary of Responsibilities:
  • Initiates the design, development, execution and implementation of scientific research projects.
  • Investigates the feasibility of applying scientific principles and concepts to potential inventions and products.
  • Plans and executes laboratory research.
  • Maintains substantial knowledge of state-of-the-art principles and theories and may contribute to scientific literature and conferences.
  • May participate in development of patent applications.
  • May coordinate interdepartmental activities and research efforts, and all other duties assigned.
  • Performs a variety of complicated tasks.
  • Works on problems of diverse scope where analysis of data requires evaluation of identifiable factors.
  • Relies on experience and judgement to plan and accomplish goals.
NREA-BI Team (Navy Readiness Execution Analytics Business Intelligence):
  • COVID Vaccination Master Sheet Generator (Python, Pycharm, Anaconda, PyQt5, Pandas) - An application that generates a master data sheet as a snapshot of vaccination information for current individuals in the service. Cleaned-up, matched and combined different data sources. Added extra information by calculating and analyzing data to provide useful and meaningful information for future analysis. (ie. closest vaccination facilities based on location and brach service). Complete with a GUI and a visualization of dataset history.
  • COVID EDA and Error Analysis (R, R Studio IDE, R Shiny, Plotly.R, Python, Pycharm, Pandas, Dash, Plotly.py) - Dashboard that visualizes vaccine information overtime. Also has a visual history of errors in the data source for quality checking.
CIC Data Analytics Team (Consolidated Information Center):
  • Metadata Management, Data Integrity and Quality Control Project (Python, Pycharm, Anaconda, VSCode, Plotly.py) - Created a proof of concept application for data integrity and quality control for management of all data sources in the CIC. The application can show a high level view of each data source to visualize any inconsistencies in the data.

Vanderbilt University

I was an Instructional Staff Member for Vanderbilt University in the Data Analytics and Visualization Bootcamp by 2U Trilogy. Some topics include: Microsoft Excel, Python Programming, Matplotlib, Seaborn, Pandas, and SQL.

  • Support the Instructor in the classes for the program according to the specific schedule.
  • Support students’ mastery of learning objectives in an effective and engaging manner during class.
  • Guide students' learning by following course syllabus, lesson plans, and all required instructional materials.
  • Support and engage with students via the class slack domain.
  • Complete the grading of homework assignments, or review the feedback and scores from our centralized grading team.
  • Contribute to creating a culture of trust and inclusion during class.
  • Serve as the Tutor for the program according to the particular role’s scheduled.
Technologies:
  • MS Excel, Python Programming, Matplotlib, Seaborn, Pandas, SQL

NOAA

I was contracted by National Oceanic and Atmospheric Administration (NOAA), under the National Weather Service (NWS) branch, in the Meteorological Development Laboratory (MDL) Digital Forecast Services (DFS) division, supported by Ace Info Solutions.

The Digital Forecast Services Division develops techniques to provide objective short-range (1-25 hour) forecast guidance for all weather elements in routine public and aviation products. In addition, the division supports a National Digital Forecast Database (NDFD) offering products and geospatial data services that provide maximum flexibility to customers and partners. The division also develops and maintains systems to assess the quality of operational and experimental NWS forecasts.

My titles were: Data Visualization Web Developer / Scientific Programmer II / Computer Systems Analyst II, directly working on National Digital Forecast Database products.

  • Created a collaborative bug tracking system through google spreadsheets actively being used by all 11 members of the team, to accelerate the process of finding all bugs in the NDFD Statistics Web Dashboard of MDL. Resulted in better communication of what’s happening during the meetings and solutions are created immediately. Easily visually determines where specific bugs and problems are, whether it is on the Database Side or User Interface side.
  • Created a Visual User Guide for the NDFD Statistics dashboard. Featuring all the capabilities of the user interface as well as the documentation of the code. It describes the dashboard’s capabilities and limitations in visual detail.
  • Designed and implemented multiple dashboard features such as: Dynamic Querying (Auto Query) for handling dashboard inputs resulting in reduced query times and improved User Experience (UX); Live Missing Data Calendar, to display all the missing data for a specific calendar date through a hover popup which includes domain, source, cycle and element description; Individual Stations Options in the location drop down through extracting 1,446 station names in the database, matching them with 1,979 station codes using a mix of bash commands and python scripting with Pandas data frame, then transforming the resulting data into a JSON file, and loading it to the user interface using PHP calls.
  • Improved chart visualization of line graphs through fixing data point issues and axis labeling issues in Plotly.js by correctly querying from Web1 database using SQL commands and PHP scripts, enabling the correct x and y axis visualization of the data points in the monthly point verification.
  • Fixed multiple types of problems in the NDFD Statistics Dashboard of the MDL such as dynamic capabilities, limiting some options for specific types of data, data merging, chart and control panel visualization features, bootstrap/resizing issues and other types of bug fixes. All done within a month of getting a laptop by using JavaScript, HTML, PHP, JSON, Plotly.js and Python with little training due to the challenge of being fully remote.
Technologies:
  • Javascript, HTML, CSS, PHP, SQL, Python, Plotly.js, D3.js, Bash Scripting (Vim and Nano), Git (VLab), AWS

Women's Worth Summit

I was a Data Analyst and Research Intern for the 2020 Women’s Worth Summit. It is a conference featuring over 2,000 women leaders in business, 48 powerful speakers, and hundreds of moments crafted for connection. Due to the Covid-19 pandemic, the annual Summit event was closed and was never held.

  • Used ETL process by researching woman-owned businesses in both national level and Washington DC area level, as well as number of women in 2018 that earned more than $250K. Used R to transform and clean up data to be able to transfer and load to an Excel file.
  • Calculated number and percentage of CEO and C-Suite-level females in Fortune 500 and 1000 organizations.
  • Collected data on and managed corresponding numbers for attributes, such as Founded, Revenue, Employee Number, and Sector to build a database for analysis.
  • Cleaned up and formatted sensitive data to be imported for HubSpot and Flodesk (duplicates removed in Flodesk).
  • Used R for analyzing and estimating percentage of CEOs, presidents, founders, and owners from 3,200+ observations.
  • Analyzed data using R and plots for determining visualization of sectors in data set and determined averages and percentages. Reviewed sectors that make up past attendees, percentage of small businesses (<100), average size of small businesses, and average years in business.
Technologies:
  • Python, R, HubSpot, Flodesk, Microsoft Excel, Trello (Agile Kanban Methodologies), Squarespace
  • Other - AWS: S3, CodePipeline, Amplify (using Github), Lambda, API Gateway, DynamoDB, IAM

Philippine Cultural Society

I was a District Six Representative in The Philippine Cultural Society from September 2016 to September 2017. My responsibilitites include relaying information back and forth from District Six (D6) to Philippine Cultural Society (PCS).

  • Organized district level events such as Mr. D6 and Semi Formal as well as university level events such as Tandaan XVIII, Amazing Race and PCS Thanksgiving.
  • Organized a fundraiser for the organization. Delegated and tracked all sold items in an excel file including receipts, order requests, profit, etc.
  • Organized transportation and accounting for people to go to the annual District Six Semi-Formal. Coordinated the meeting and departure times, cost of renting the vehicles and gas, while accounting for the number of people per vehicle.

Medical Laboratory Technology

I also worked as an ASCP Certified Medical Laboratory Technician (MLT) and a Cytologist Assistant in Captain James A. Lovell Federal Health Care Center in Great Lakes, IL from 2012 to 2015.

  • Designed and implemented a filing system for specimens, slides, and patient’s orders resulting in time savings from days and hours to seconds which also prevented patients from providing additional specimens for workup.
  • Directly supervised and trained a total of 16+ employees to work at different departments of the laboratory, contributing to the flexibility of the employees to work at different areas of the laboratory when needed.
  • Optimized specimen processing flow by implementing a system of procedures for technicians, resulting in time savings of half of the day’s work.
  • Experience with using health systems software Computerized Patient Record System (CPRS), VistA, along with Composite Heath Care System (CHCS), with Orders Portability Solution (OPS), to connect ordering and resulting in between systems.
  • Developed key process that prevented patients from needing to provide additional specimens for work-up.
  • Created a log of supply inventory for supplies to determine the approximate number of supplies needed to be ordered, which led to the reduction of the number of expired supplies needed to be thrown away.
  • Operated and mastered medical laboratory machines and tests across areas of science and medicine, such as cytology, chemistry, hematology, coagulation, and microbiology worth over $1 million.
  • Capable of running whole medical laboratories, and an array of independent clinics such as RTC Red Rover 1523 Lab, RTC 1007 Tranquility Lab, Fisher 237 Lab, and FHCC Main Lab.

United States Navy Veteran

I decided to join and became a member of The United States Navy as a Hospital Corpsman (NEC: 0000, 8506) for 5 years starting from 2010 to 2015. We were transported to Recruit Training Command (RTC), Great Lakes for basic training and I was assigned to Division 249. The training is eight weeks long which included physical fitness, seamanship, firearms, firefighting and shipboard damage control, and lessons in our heritage and core values, teamwork, and discipline.

After basic training, I was stationed in Naval Hospital Corps School (NHCS), Great Lakes Illinois for A-School and was assigned to Class 210B which lasted about 19 weeks. The school included topics such as assisting in prevention and treatment of disease and injuries, caring for sick and injured, administering immunization programs, rendering emergency medical treatment, instructing Sailors and Marines in first aid, self aid and personal hygiene procedures, transporting the sick and injured, conducting preliminary physical examinations, performing medical administrative, supply and accounting procedures, and maintain treatment records and reports, supervising shipboard and field environmental sanitation and preventive medicine programs, and supervising air, water, food and habitability standards. I was also stationed in Fort Sam Houston Texas, San Diego California, and back to Great Lakes Illinois, where I was honorably discharged.

Eligibility: Secret
  • Investigation Type: NAC | LAC | CC
  • Security Clearance: Secret
  • Investigation Date: 09/16/2009
  • Clearance Date: 08/05/2011
Awards:
  • National Defense Service Medal | May 2010 | US Navy SECNAVINST1650.1SER
  • Global War on Terrorism Service Medal | Jun 2010 | US Navy SECNAVINST1650.1G
  • Sharpshooter 9mm Pistol | Jul 2010 | US Navy OPNAVINST3951.1
  • Petty Officer Selectee Leadership Award | Jun 2012 | Awarded by: CMC Marcella Chmielewski
  • Good Conduct Medal Active | May 2013 | US Navy SECNAVINST1650.1H
Certificates:
  • Application CBR | 7/19/2010
  • Basic Damage Control | 7/12/2010
  • Battle Stations | 7/21/2010
  • FF Application | 7/19/2010
  • FF Team Training | 7/15/2010
  • Fire Fighting I | 7/13/2010
  • Fire Fighting II | 7/14/2010
  • Fire Fighting II CBR | 7/14/2010
  • Marlinspike Lab 1 | 7/7/2010
  • PFA RDC Assess | 6/29/2010
  • Physical Training Test 2 | 6/29/2010
  • Remedial Swim | 6/11/2010
  • Team Training | 7/15/2010
  • Weapons Live Fire | 7/1/2010
  • Weapons Live Fire 1 | 7/1/2010
  • Weapons Simulator | 6/30/2010

Other Jobs

Fuego Dance Team

I was a member of Fuego, a latin dance team that performs Bachata, Cha-cha, and Salsa. Its purpose is to increase Latino cultural awareness through music and dance. I had the opportunity to perform a dance called Bachata for the 24th Annual La Fiestasa. Many people audition but only a few get chosen. It requires a certain personality to commit to the intense physically demanding practices of at least four times per week.


GW Hacks

I was the Head of User Experience in GW Hacks holding an event called Hackital: A Hackathon in the Capital. The event has a theme called Smart Cities. I was responsible for user experience which includes sponsorship, ordering items, speakers and catering services to ensure the participants enjoy the event and will have a great experience. The Hackathon was a 3-day event and this requires coordination, communication and heavy planning.

  • Sponsorship efforts (CISCO, General Assembly, Microsoft) generating over $12,000 in funding.
  • Increased the number of executive members in the organization by recruiting 2 qualified leaders.
  • Responsibilities included ordering supplies, speakers and catering services which requires coordination, constant communication and heavy planning for the 36-hour long hackathon event with 70+ participants.
  • Spearheaded reform of the document system by creating a summary spreadsheet to organize information from leaders, speeding up communication and reducing misunderstandings.

Best Buy

I worked as an Inventory Specialist for Best Buy located at 14th st. in Washington, D.C. before I pursued my Bachelor's and Master's Degrees.

  • Assessed and monitored warehouse transactions which includes ordering, receiving and counting all types of products for the organization.
  • Tracked inventory maintenance and control equipment flow while being responsible for ensuring that inventory records are accurate at all times, by doing daily or weekly counts of all products.
  • Worked with products being shipped to customers and properly log all receipts to ensure accurate inventory counts.
  • In charge of preparing orders and related documents to purchase additional items or stock and acted as liaison between the warehouse and customer service.
  • Volunteered to work overnight with the manager to organize the shelves in the back room. The efforts resulted in a better organized storage room which helped in a faster and more efficient way of obtaining products from the shelves.

Country Pride Restaurant

I also worked as kitchen staff, line cook, server and cashier at TA Country Pride Restaurant in Marianna, Florida from 2009 to 2010.

  • There was a lack of trained employees in the kitchen. There were constant sick calls from the kitchen leaving no one there and the manager had to come in to work in replacement of the employee. I took the initiative and volunteered to take over the kitchen jobs when we were undermanned.
  • Took initiative on cleaning dirty areas of the kitchen and dining area. This resulted in a cleaner, better looking atmosphere for both the employees and customers.
  • High stress tolerance for emotionally taxing labor, a master at controlling emotions to show positive behavior throughout the job. Remains calm and stays positive at all times even when attacked with insults. Resulted in controlled situations and non- escalated situations.
  • Great at dispute resolution. Can turn around heated situations into calm settings. Provided compensations when customers seem unsatisfied with their order (with the manager's discretion). Customers are more likely to come back for more business.

Volunteer Events

I participate in volunteer events from time to time. I volunteered at Meals on Wheels, Feed my Starving Children, Red Cross blood drives and donated blood. I want to make a difference in the community even if they're small ones.

  • Blood Drives in California (Health)
  • Shamrock Shuffle Chicago (Runners)
  • Feed my Starving Children (Children)
  • Meals on Wheels (Hungry Communities)
  • Pet-A-Palooza (Animal Welfare)
  • Red Cross Blood Donations (Health)
  • GWU Composting (Environment)

Skills

Information Systems Technology

  • Python, R, JavaScript, Java, C, C++ (Programming Languages)
  • HTML, PHP, CSS (Web Development)
  • MySQL (Relational Database Management System)
  • Pandas, Numpy, Scipy, Scikit-Learn, Seaborn, Matplotlib (Data Science Tools)
  • D3.js, Plotly.js, Plotly.py (Graphing Libraries)
  • Anaconda (Python Distribution)
  • Flask, Plotly Dash, PyQt5 (Web and GUI Frameworks)
  • Pycharm, Microsoft Visual Code, and Jupyter (Text Editors)
  • MS Excel functions such as V-Lookup and Pivot tables
  • MS Word and MS PowerPoint (Presentation and Reporting Tools)
  • MongoDB (NoSQL Database)
  • SPSS (Statistic Tool)
  • Open CV (Computer Vision Library)
  • OpenGL (Open Graphics Library)
  • Histogram of Gradients and Haar Cascades (Facial Recognition Algorithms)
  • Unity, PlayCanvas (Game Engines)
  • Use-Case Diagram, Program Evaluation Review Technique (PERT Diagram), Data Flow Diagram (DFD), Unified Modeling Languages (UML) and Entity-Relationship Diagram (ERD)
  • ANOVA, Tukey testing, Regression, QQ-Plots, Chi-Square testing, Z-Test and T-Test (Statistical Analysis)

Medical Technology

  • Medical Terminology
  • Basic Life Support (BLS/CPR) – American Heart Association
  • MLT (ASCP Certified)
  • Blood Draw (Venipuncture, Arterial Puncture)
  • Injection (IM, ID, IV, SC)
  • Medical Laboratory Equipment (Chemistry, Hematology, Urinalysis, Microbiology, Coagulation)
  • Specimen Processing
  • Cytology Technology Equipment (Stain, Smear, Slide)
  • Specimen Courier
  • Medical Corpsman
  • Tactical Combat Casualty Care (Triage, Combat Medicine)
  • Non-Tactical Triage
  • Midwifery Skills (Delivery, Catheterization)

Teamwork

  • Damage Control Training (Fire and Ship Training)
  • Executive Positions in University Organizations
  • Military Background
  • GW Hacks: Innovation Competition - Catering, Sponsorship, Budgets, User Experience Manager
  • District Six Representative in Philippine Cultural Society (PCS) - Fundraising, Driver and Transportation Manager, Event Organizer
  • Cytologist Assistant and General Laboratory Technician - Employee Training
  • Third Class Petty Officer in the US Navy - Mentoring

Process and System Design

  • Web Application Design
  • Game System Design
  • Database Management System Design
  • Cytology Systems and Process
  • Cytology Inventory Logs
  • Sponsorship and Organization Budgets - GW Hacks
  • Fundraising - Philippine Cultural Society (PCS)

Other Interests

  • Regular Activities - Weightlifting, Calisthenics, Recreational Running
  • Seasonal Activities - Hiking, Snowboarding, Bouldering
  • Other Sports Activities - Basketball, Soccer, Volleyball, Badminton
  • Art - Sketching, Charcoal and Graphite Painting

Projects

Traffic Accidents Dashboard
Automated White Blood Cell Differential
Instagram Facial Recognition
Machine Learning Linear Classification Program
Machine Learning Function Approximation Program
Java Alien Attack Game
FIFA 2019 Data Analysis
NYC Airbnb Data Analysis
GWU Hospital OCTAVE Allegro Risk Assesment
Game Engine 3D Environment
Open GL 3D Rendering


Traffic Accidents Dashboard

This application is a dashboard that analyzes and visualizes a dataset of US Accidents with 2.9 million observations and 49 features. The dataset is captured by a variety of entities such as the US and state departments of transportation, law enforcement agencies, traffic cameras, and traffic sensors within the road-networks. It preprocesses the random sampled data in the back end which uses Imputation methods, Principal Component Analysis, Standard Scaler and Grid Search with Cross Validation. It also performs Exploratory Data Analysis (EDA) and displays histograms, correlograms, scatterplots and the summary of statistics of the variables. The tool enables the user to create models using different Machine Learning Algorithms and displays the model accuracy. The user can use the models to predict the severity of accidents that could happen when specific arguments are passed as parameters. The prediction uses machine learning models such as Decision Trees, Random Forest, Logistic Regression, K-Nearest Neighbors, Support Vector Machine and Linear regression. PyQt was used for the Graphical User Interface along with a few lines of Java Script for the map visualization. Folium was used for the geo map rendering with data points along with a Clustering algorithm to group data points with close coordinates.
The approach taken was developing the code while testing all its working features at the same time in all possible orders. Once a working feature is developed, the whole application is run and tested to ensure features are properly functioning. Fixes are made immediately upon discovery of the bugs to save time in the developing and testing phase.


Automated WBC Differential

Developed a program that classifies White Blood Cells (WBCs) to do differentials in the medical laboratory. It can provide a cheaper, faster, more accurate alternative to do manual differentials done by medical laboratory technicians. The application starts with the home screen having login buttons for patients and medical personnel. Medical personnel can be technicians or doctors. Technicians are able to run new specimens using the machine learning classification algorithm that automatically classifies and counts the white blood cells. They can view the images, database, patient information and specimen results. Doctors are able to review cell images and comment on out-of-range specimen results. They finalize the result as normal or abnormal. Patients are able to view their results when matching patient information is entered. Used Python, Keras and TensorFlow to create machine learning models and PyQt for the Graphical User Interface.
Used Agile Methodology to plan, code, test and review the product in different phases or sprints. This is a more effective approach compared to the Waterfall Method since there were a many features added, changes and removed through out the whole process. This type of software can be merged with current technologies that madical laboratory companies have such as Epic, Seimens, Sysmex, Abbott, etc.


Instagram Facial Recognition

Built a facial recognition application using Python and Plotly Dash that detects and recognizes faces in the webcam feed by using Haar Cascades and Histogram of Gradients (HOG) algorithms. The program also implements Web Scraping to pull information from Instagram and displays it on the screen. The program uses OpenCV, a computer vision package.
The final application was a product of continuously building on top of the previous features. Starting from face detection from pictures, video detection, live video detection, live video classification, web scraping, managing display, and finally adding GUI functions like train model and different classifier algorithms (not shown in this video).


Linear Classification

The program was created using python and Machine Learning Algorithms to classify inputs based on their targets (Supervised Learning). The program draws a straight line to separate and correctly classify the two classes (as long as they are linearly separable).


Function Approximation

Coded a program that approximates a given function using Machine Learning and Python by using early stopping techniques (comparing training and validation errors) to avoid overfitting of the model, and back propagation of sensitivities to update weights and biases. Program outputs number of epochs to determine how number of neurons in the hidden layer and learning rates affect convergence properties. The blue dotted line represents the given function and the red line represents the machine. The red line is initialized using random numbers and eventually will approximate the function given.


Alien Attack Game

Built a game called “Alien Attack” using Java and JFrame GUI components for the User Interface. Used Objects and Classes for creating the game and a Unified Modeling Language (UML) to create a diagram for visualizing the relationships, attributes and functions of the classes. The project approach was building an object oriented diagram plan before execution. This plan was revised and changed as needed as the project progressed.


FIFA 2019 Data Analysis

Performed statistical analysis to determine correlation and significance of findings on FIFA 2019 Soccer Player Dataset having 18,207 records with 89 variables. Used R programming along with ANOVA, Tukey testing, Regression, QQ-Plots, Leaflet data visualization. Outlier Data Cleanup, Chi-Square testing, Z-Test and T-Test.


NYC Airbnb Data Analysis

Performed statistical analysis to determine correlation and significance of findings on New York City Airbnb Dataset having 48,896 records with 16 attributes. Used R programming along with ANOVA, Tukey testing, Regression, QQ-Plots, Leaflet data visualization. Outlier Data Cleanup, Chi-Square testing, Z-Test and T-Test.


GWU Hospital Risk Assesment

Assessed information security risks in The George Washington University Hospital. Performed OCTAVE Allegro Risk Assesment by establishing risk measurment criteria, developing information asset profile, identifying information asset containers, identifying areas of concern, identifying threat scenarios, identifying risks, analyzing risks, and finally selecting the mitigation approach.


Game Engine 3D Environment

This 3D Environemnt was rendered using a game engine application called Unity.


OpenGL 3D Rendering

This 3D environment was rendered using OpenGL and C++. The specific techniques used are Texture Mapping, Backface Removal, Illumination, and Camera Movements using keyboard inputs.


PRICING
Website Bulding and Management
- Basic, Professional, Premium

Data Analytics
- Ad Hoc data analytics and Visualization
- Data Analytic tools and Applications

Graphic Design
- Web Design, UX and UI
- Banners, Logos, Images, Animations
- Video Editing

Social Media Management
- Instagram, Tik-Tok, Youtube, Facebook


VIDEOS
What is a website?
Why should i have a website?
- serves as a hub (all in one, one stop shop)
- marketing purposes
- easier for users and business owners to access information
- can have capabilities such as financial system, marketing, information system.

What is data analytics?
What is business intelligence?
Why should i implement data analytics and business intelligence in my organization?

What is graphic design? Why should i use graphic design?
Translation


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Travel Centers of America Country Pride Restaurant / United States Navy / Basic Life Support, CPR - American Heart Association / American Society for Clinical Pathology (ASCP) / Captain James A. Lovell Federal Health Care Center (FHCC) / Philippine Cultural Society / GW Hacks: Hackital / The George Washington University / Website Design: HTML5 UP / Elements

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