Turner & Townsend

Utilized Python modeling (Prophet, XGBoost, SVM) to auto-detect financial risk resulting in 25% accuracy increase. Developed stored procedures using PL-SQL to facilitate efficient database migration reducing query load time by 15%. Leading development of end-to-end PowerBI dynamic dashboards utilizing DAX modeling to present cost & emissions KPIs with cross-functional leadership teams.

Georgia Institute of Technology

Graduate TA for 200+ students in CSE 6242 Data & Visual Analytics co-leading the campus operations under Prof. Duen Horng (Polo) Chau and Dr. Mahdi Roozbahani.

Developing and testing Machine Learning Coursework for HW revision to publish, and conducting weekly office hours, grading assignments, and providing feedback on student projects.

AMCL

Data lead for Capital Project Asset Management within AMCL working with the United States Department of Housing and Urban Development.

Developed end-to-end product to automate data analytics insights for New York City Housing Authority's $3.3 Billion Asset Cluster and 116,000+ residents on PowerBI, sourcing through SQL management servers via Azure Virtual machine to Monitor and improve NYCHA’s asset management capabilities.

Created and atlered SQL Views and Queries within IBM Maximo for relevant attributes to be pulled and analyzed. Developed automated webscraper to scrape and cluster weather data using Python's Selenium and Sci-kit Learn library, hosted on GCP.

Aegis

Consulted clients on multiple engineering projects related to energy, education, and government, with individual projects valued at over $200M to generate insights and recommendations on project health, cost, and progress.

Developed Python script to collect contractor project data to source from SQL hosted server to design automated Dashboards using PowerBI and power query, to generate insights and recommendations on project health, cost, and progress.

University of Maryland

Designed a web simulation with an agile approach that teaches cybersecurity and collaboration in STEM, funded by the National Science Foundation

Devised a learning analytics system using REST API interface with Python and MySQL, and integrated it into the University’s AWS infrastructure.

Intel Corporation

Formulated project plan for Intel Extreme Masters 2020 to increase reach across Asia Pacific's 40 Million eSports viewers. Scraped, analyzed, and visualized data for the eSports industry from Twitch and Steam via python, Twitch API, and Power BI to aid in executing 2 product strategy campaigns for APJ and ANZ regions within the Games and eSports team.

Hewlett-Packard

Cultivated customer and competitor analysis to support market strategy for HP's handheld printer Sprocket via research, trend analysis, internal intelligence and industry reports to gather insights, resulting in a database of 4,000+ corporates to consolidate information for maturing campaigns.

Infundo

Pioneered an investor education initiative with the aim to create a financially literate society, funded by HDFC Bank. Partnered with NGOs in India to organize financial literacy and investor awareness workshops for over 300 students from underprivileged households.

Georgia Institute of Technology

MS Computer Science, specialization in Machine Learning.

Relevant Courses: Machine Learning, Computer Vision, Natural Language Processing, Data & Visual Analytics and Data Visualizations Principles

Current GT Student Ambassador

Georgia Tech MLH Hackathon Winner amongst 1100+ participants @ Hacklytics 2024

University of Maryland

Majored in Information science, specialization in Data Science.

Ambassador to the Information Science program, Teaching Assistant, and Research Assistant for the College of Information Studies.

Founding Member of Kappa Theta Pi co-ed Professional Technology Fraternity and Mentor at BitCamp Hackathon