Varun Pathak

Background

About Varun Pathak

Data scientist with over 4 years of experience in technology, specializing in developing scalable and reliable machine learning and deep learning models that drive business improvements and enhance operational efficiency. Highlights of professional experience : Genesys: Achieved 80% improvement in revenue forecasting accuracy using ML and deep learning models, optimized ML workflows on AWS SageMaker, and developed real-time data pipelines on Snowflake for predictive analytics. AltaML: Built PowerBI and Azure dashboards saving $8.5 million daily, developed a demand forecasting model optimizing costs by 5-8%, created ML-based solutions enhancing client operations by $5 million annually, and developed deep learning classification models for image datasets with a $10 million ROI and performed ETL to build clean, reusable datasets. Technical Skills - Data Science and Machine Learning: Data science lifecycle, applied statistics, machine learning development cycle, ML infrastructure, model deployment, feature engineering, generative AI - Programming: Python (Plotly, Matplotlib, Pandas, NumPy), SQL, Java, C++, C - Machine Learning Frameworks: Scikit-learn, TensorFlow, PyTorch, Keras, XGBoost, OpenCV, MLflow, FBProphet - Dashboarding and Data Visualization: MS Excel, PowerBI (DAX, data modeling, Power Query), Streamlit - Cloud Computing: AWS (SageMaker, EC2), Azure, Databricks, Snowflake - Containerization and Automation: Docker, Kubernetes, GitHub, GitHub Actions, Jupyter Notebook - Software Development: CI/CD pipelines, Agile/Sprint methodologies, code reviews