Harsha's Portfolio

Hi! I'm Harsha Talapaka!

I am a Computer Science Graduate from George Washington University, I am Currently open to full-time oppurtunities looking for Data Scientist, ML and Data Analyst roles. I am proficient in Python, R, SQL. I have started to write Technical Blogs as a part of my curriculum, Do check them out on medium just click the link to access it

Projects

Please follow my GitHub to stay upto date with my latest projects (I do not often update this page)

Job Recommendation System

Bounding Box Prediction using CNN(Built from scratch)

Calories Burnt Prediction

I am something of Painter (Kaggle Challenge)

Object detection using YOLO

Amazon Dataset Visualization

About Me

I am an adventurous spirit with a deep love for food, nature, photography, and long drives. Traveling fuels my passion for experiencing new cultures and landscapes. Known for being communicative and a people person, I thrive in dynamic environments and excel as a team player. My enthusiasm and determination make me adaptable and well-suited for any organization. Whether exploring the outdoors or capturing moments through my lens, I bring vibrant energy and a collaborative spirit to every endeavor.

Education

Masters of Science

Computer Science with focus on Machine Intelligence

August 2023 - May 2025

Bachelors of Technology

Electronics and Telecomm Minor in AI & ML

July 2019 - May 2023

Work Experience

Intern, Technical QA Data

January 2023 - May 2023

Remote | United States

Developed and optimized data frameworks for web scraping using Python-based XPaths, Selenium, and Zyte APIs, ensuring high-quality data extraction and improving pipeline efficiency through robust QA.

Managed and optimized PostgreSQL & DBeaver databases with 2M+ records, leveraging SQL, Python, and Excel for data analysis, preprocessing & wrangling to deliver actionable insights and ensure data integrity.

Data Scientist

June 2025 – Present

Remote | United States

Enhanced data pipelines and reporting for a holiday-travel AI product by preparing large-scale datasets (1.6M+ entries) using Python, Pandas, and SQL, leading to improved model efficiency and A/B testing readiness.

Collaborated with AI team to simulate LLM-driven product features using the ChatGPT API, enabling dynamic personalization in travel planning services.

Engineered robust visualizations and self-serve dashboards using Tableau to empower stakeholders with data-driven decisions across product, marketing, and customer teams.

Designed and implemented A/B testing strategies to evaluate recommendation effectiveness, boosting user engagement insights through robust SQL and Python workflows.