Pritam Gajbhiye

WORK HISTORY

EDUCATION

ABOUT PRITAM GAJBHIYE

I am a with over 4 years of experience in applied machine learning, predictive analytics, NLP, and large-scale data engineering, building data-driven systems that translate complex information into measurable business and policy impacts.I hold a ’ from the. My academic training is complemented by hands-on experience in industry, research, and the public sector, allowing me to bridge theory, engineering, and real-world decision-making. & ’ I have applied data science across:• Public Policy & Urban Analytics – housing policy evaluation, procurement transparency, 311 service analytics• AI / NLP & Document Intelligence – unstructured PDF extraction, misinformation analysis, RAG systems• Time-Series & Forecasting – mobility prediction, anomaly detection, demand forecasting• Recommendation & Experimentation – A/B testing, optimization, behavioral insights• Network & Spatial Analytics – urban stratification, social data modeling • Machine Learning & Statistics: Predictive modeling, experimentation, anomaly detection• NLP & LLMs: Transformers, BERT, embeddings, RAG systems, information retrieval• Time-Series: LSTM, N-BEATS, Prophet, ARIMA• Data Engineering & Cloud: AWS (S3, SageMaker, Glue, EMR), Spark, Snowflake, ETL pipelines• Tools: Python, SQL, R, PySpark, Power BI, MLflow, LangChain, Docker • Improved data processing efficiency by ~45% through end-to-end ETL pipeline design and optimization.• Automated 70% of recurring data workflows, reducing manual effort and improving reliability.• Built forecasting and deep learning models achieving 90%+ prediction accuracy in mobility and demand use cases.• Processed and optimized 500GB+ datasets using Snowflake, Spark, and cloud-native architectures.• Developed NLP systems that transformed unstructured PDFs into analytics-ready structured datasets, accelerating analysis and decision speed.Currently seeking /- roles where I can collaborate cross-functionally, build scalable intelligent systems, and convert advanced analytics into actionable insights that influence strategy and outcomes.