Senior ML Scientist | 5.5 Years | AI Engineering RAG, Recommender Systems, Data Science
Actively Looking for Work
Professional Bio
Opening Summary
I am a results-driven Senior Data Scientist with over 5.5 years of experience specializing in behavioral modeling, predictive analytics, and end-to-end ML lifecycles. I am an expert in leveraging Python, PyTorch, and Advanced SQL to build scalable machine learning workflows in high-volume environments serving over 220 million users. I have a proven track record of deploying robust tree-based models and prototyping next-generation architectures like Transformers to drive significant business impact.
Core Skills & Expertise
- Machine Learning & Forecasting: XGBoost, LightGBM, CatBoost, Time Series Analysis, A/B Testing, Recommender Systems.
- Big Data & Cloud: PySpark, AWS (Redshift, SageMaker), GCP, BigQuery, Databricks, SQL, Docker, Airflow.
- AI & Automation: GenAI Agent Systems, LLM Fine-tuning (QLoRA), NLP, Behavioral Modeling, Risk Analytics.
Work Experience & Achievements
- Optimized Transactional Revenue: Developed a Dynamic Pricing and Demand Forecasting model that delivered $1.1M USD in savings per match by anticipating market shifts and seasonality.
- Scalable AI Innovation: Designed a GenAI agent system that reduced support ticket volume by 15% and slashed operational costs by $10.7 Million USD.
- Boosted User Retention: Pioneered a 'Projected Point' metric using XGB Regressor, leading to a 3% increase in user retention for India's largest fantasy sports platform.
- Driven Commercial Growth: Architected a hybrid recommendation engine that increased Cross-Sell Gross Merchandise Value (GMV) by 18% and Average Order Value (AOV) by 12%.
What Iām Looking For
- Optimized Transactional Revenue: Developed a Dynamic Pricing and Demand Forecasting model that delivered $1.1M USD in savings per match by anticipating market shifts and seasonality.
- Scalable AI Innovation: Designed a GenAI agent system that reduced support ticket volume by 15% and slashed operational costs by $10.7 Million USD.
- Boosted User Retention: Pioneered a 'Projected Point' metric using XGB Regressor, leading to a 3% increase in user retention for India's largest fantasy sports platform.
- Driven Commercial Growth: Architected a hybrid recommendation engine that increased Cross-Sell Gross Merchandise Value (GMV) by 18% and Average Order Value (AOV) by 12%.
What Iām Looking For
I am seeking a senior-level Data Science or Machine Learning role where I can apply my expertise in scalable AI and predictive modeling to solve complex business challenges. I am especially interested in companies focused on scalable architecture, AI-driven applications, and cloud-based solutions.