Professional Summary

Data Scientist with 5+ years of experience transforming complex datasets into actionable insights and ML solutions. Skilled in predictive analytics, NLP, computer vision, and cloud-based workflows. Experienced in designing end-to-end data pipelines, statistical modeling, and delivering insights that drive operational excellence and business decisions. Passionate about applying data science to support sustainable energy innovation.

Core Skills

• Machine Learning & Statistical Modeling: Regression, decision trees, clustering, neural networks, GAMMs, NLP, computer vision
• Cloud & Data Platforms: AWS (SageMaker, Lambda, S3), Snowflake, GCP (BigQuery), Docker
• Data Processing & Pipelines: ETL/ELT, dbt, Airflow, automated ingestion, preprocessing workflows
• Programming & Tools: Python (pandas, scikit-learn, PyTorch), SQL (PostgreSQL, MSSQL), Tableau, Power BI, Streamlit
• Analytics & Visualization: Predictive modeling, forecasting, KPI dashboards, storytelling with data
• Collaboration: Cross-functional team alignment, stakeholder communication, project management

Selected Projects

Multimodal Product Classifier ? Rakuten Challenge

• Built a multimodal NLP + CV classifier using transformer embeddings, achieving F1 = 0.883.
• Implemented model training and validation pipelines with scikit-learn and PyTorch.

Brain Tumor Detection ? Deep Learning (DenseNet169)

• Achieved F1 = 0.903 on MRI dataset, outperforming baseline radiologist accuracy.
• Developed training workflow with automated preprocessing and augmentation scripts.