Aspiring Data Engineer with an affinity for efficient data modeling, applied statistics, and data processing solutions. Well-versed in modern data storage implementations, data analysis techniques, and programming (SQL, Python, R).
Overview
6
6
years of professional experience
Work History
Cashier
Giant Food
05.2023 - 08.2023
Enhanced customer satisfaction by providing efficient and accurate cash transactions.
Practiced and demonstrated appropriate professional behavior regarding customer issues, requests, and support
Worked flexible schedule and extra shifts to meet business needs.
Clothes Drive Organizer
Self Employed Services
09.2019 - 07.2020
Organized a clothes drive for the purpose of supplying homeless shelters with used clothing's and comforters
Amassed around 200 pieces of used clothing which were then delivered to homeless shelters located in Reston and Herndon
Nest Volunteer
Nest Organization
01.2018 - 03.2020
Participated as a member of the NEST volunteering organization for 2+ years for the purpose of preparing, packaging, and delivering basic needs (Hygiene products, snacks, essential utensils, goodies) to various shelters across Washington, D.C.
Extensive duties included cooking and preparing meals on the spot for the individuals of aforementioned homeless shelters.
Education
Bachelor of Science - Data Science/Statistics
Virginia Tech
Blacksburg, VA
06.2026
Skills
Intermediate experience with Python programming, including data structures, control flow, debugging, data processing, object-oriented programming
Fluent in R programming and Data Analysis, including K-means clustering
Working knowledge of SQL (Structured Query Language) and Data storage solutions (Databases, Data Lakes, etc)
Proficient in analytics and reporting tools such as Tableau and Databricks
Knowledge of Applied statistics, including but not limited to ANOVA testing, Regression Analysis, and Probability Distribution
Accomplishments
4th Degree Black Belt Holder in Taekwondo
WISE Financial Literacy certification holder
MOS (Microsoft Office Specialist) certification holder (Beginner and Advanced certifications)
Databricks Certified Data Analyst Associate certification
Projects
Analysis of U.S. Hate Crime: As an academic group, performed 2-D plotting (bar charts), multidimensional analysis, K-means clustering, and MDS plotting on provided state crime data in-class, using R studio in order to accumulate qualitative and quantitative insights relating to hate crime across the nation, with the purpose of potentially providing any external solutions and strategies to control hate crime in the U.S.
Efficient Data Processing (Department of Labor): Was in charge of extracting, cleaning, and cataloging the features of DOL's logical data model through their provided Azure Databricks service using knowledge of Spark, SQL, and Data processing.