Gnagna Seck Seck

Data Scientist, Senior Consultant at Booz Allen Hamilton

• United States
• My current job since September 2022

Project 51
 Aided in the development of several Scientific Technical Information (STI) documents detailing purpose, methodology, and impact of exploratory data analysis and statistical models

Project 48
 Conducted exploratory data analysis and data cleaning on several datasets resulting in clearer understanding of data variables and relationships
 Developed visualizations using seaborn, and matplotlib to provide insights into contract Military Treatment Facility (MTF) data variable relationships and feature values for internal and client deliverables
 Coordinated with statistical subject matter expert to create statistical models to test hypotheses regarding variable relationships
 Presented exploratory data analysis and statistical modeling findings to inform internal team members of hypotheses regarding contract data variable relationships
 Aided in the development of several Scientific Technical Information (STI) documents detailing purpose, methodology, and impact of exploratory data analysis and statistical models

Project 35
 Conducted exploratory data analysis and data cleaning on extensive and nested dataset resulting in clearer understanding of data variables and relationships
 Developed visualizations using seaborn, bokeh, and matplotlib to provide insights into contract transaction data relationships and feature values for internal and client deliverables
 Coordinated with statistical subject matter expert to create statistical models to test hypotheses regarding variable relationships
 Presented exploratory data analysis and statistical modeling findings to inform internal team members of hypotheses regarding contract data variable relationships
 Aided in the development of several Scientific Technical Information (STI) documents detailing purpose, methodology, and impact of exploratory data analysis and statistical models

Air Force Culture and Language Center
 Prepared data for analytics team by normalizing the categorization of the data
 Developed data cleaning skills through codifying over 5, 000 records of data using Microsoft Excel
 Demonstrated time-management skills by submitting deliverable well before the deadline

Technical Excellence Data Science Program
 Acquired extensive knowledge regarding data science, python, and machine learning during a 6-week 40 hour a week intensive program
 Developed data manipulation, data preparation, data transformation, and exploratory data analysis skills through 38 practice labs and 11 challenge assignments using Python
 Developed a Capstone project for which several machine learning models were implemented and evaluated to predict attrition of healthcare workers given information about the employee (age, job role, etc.)
 Demonstrated a clear understanding of data manipulation, exploratory data analysis, machine learning, and data visualization through a 15-minute capstone presentation delivered to instructors and peers
 Expanded communication and teamwork skills through weekly cohort group work sessions and 1-1 instructor meetings