Harsha Talapaka

Data Scientist

Arlington, Virginia, United States11 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Developed a high-accuracy nutrient prediction platform.
Architected a hybrid LLM system improving user engagement.
Led successful A/B testing for product optimization.

Stackforce AI infers this person is a Data Scientist with expertise in SaaS and Machine Learning.

Contact

Skills

Core Skills

Data ScienceMachine LearningData EngineeringCommunicationData Analysis

Other Skills

Product AnalysisStatistical Data AnalysisPythonSQLETLXGBoostFeature EngineeringLarge Language ModelsA/B TestingAnomaly DetectionTeam playerMicrosoft ExcelApache AirflowData Driven Product AnalysisMarket Analysis

About

Welcome to my bio! I am Harsha, Data Scientist and MLE with a Master's in CS and 2+ year of experience transforming complex data into business value. Whether it's optimizing supply chains, predicting financial risk, or personalizing user experiences, I build scalable Python, SQL pipelines that drive decision making. Agnostic to industry; committed to impact with hands on experience in user behavior analysis, A/B testing, and recommendation systems that improved engagement and informed product roadmap decisions. I’m known for strong cross functional collaboration, clear communication, and turning complex data into actionable insights in fast paced, high ownership environments.

Experience

11 mos

Total Experience

11 mos

Average Tenure

11 mos

Current Experience

Holiday channel® | holiday world

Data Scientist

Jun 2025 – Present · 11 mos · United States · Remote

Owned an end to end calorie & nutrient prediction platform using XGBoost, engineering 40+ structured features from ingredients, cuisine, and portion signals to achieve 90% accuracy and outperform legacy baselines, enabling personalized nutrition experiences.
Architected a hybrid LLM retrieval and ranking system over a 6.5M+ recipe corpus, combining embeddings with business signals to cut recommendation latency by 30% and materially improve relevance and user engagement.
Led experimentation for recommendation strategies, designing A/B tests in SQL & Python to optimize CTR, dwell time, and conversions translating insights into product iterations adopted by stakeholders.
Built production grade ETL and validation frameworks with anomaly detection and schema checks, ensuring high reliability real time personalization and data quality across backend services.

Product AnalysisStatistical Data AnalysisPythonSQLETLData Science+1

The george washington university

Student Events Assistant - I

May 2024 – May 2024 · 0 mo · Washington, District of Columbia, United States · On-site

Provided warm and professional assistance to event guests, ensuring clear directions and prompt support.
Guided families and attendees to designated venues, managing large crowds efficiently and with care.
Operated entry pass scanning stations, minimizing delays and ensuring accurate check-in processes.

CommunicationTeam player

Forage ai

Intern, Technical QA Data

Jan 2023 – May 2023 · 4 mos · United States · Remote

Enhanced Data framework with Python based X-paths for web scraping, ensuring quality data extraction and troubleshooted issues using Selenium.
Improved Data Pipelines efficiency through Python functions and Selenium, conducting Quality Assurance checks on Zyte extracted data, and utilized Zyte APIs for web scraping.
Managed Debeaver, PostgreSQL databases optimized database of sizes 2M+ gaining hands on experience.
Applied SQL, Excel, and Python skills to enhance data analysis. Conducted data cleaning, preprocessing, data wrangling & ensuring data integrity. Executed data analysis tasks with Excel and Python to generate actionable insights.

Microsoft ExcelData AnalysisPython