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.

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.

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.