Sugumaran Balasubramaniyan

• Lead instructor for undergraduate and graduate courses in Data Analytics, Business Intelligence, and SQL, with a focus on Power BI, Python, and machine learning. • Designed hands-on projects where students build data pipelines, train ML models, and deploy dashboards (Power BI / Streamlit).

• Built an AI-driven OCR pipeline (n8n + PyTorch + GPT-4) that automated document processing, reducing manual data entry by 45% and saving 20+ hours weekly. • Developed a pharma supply chain optimization app (data warehouse + web app) improving forecast accuracy by 15% and identifying inventory risks.

• Designed executive Power BI dashboards tracking 50+ projects, enabling leadership to reallocate resources effectively, and optimized SQL queries with indexes and window functions, reducing dashboard refresh time by 36%. • Planned and executed A/B testing for marketing campaigns, increasing lead conversion rate from 8% to 12% within 3 months.

• Automated ETL pipelines with AWS Glue and Python, improving processing speed by 45% and reducing manual workload. • Developed SARIMA, LSTM forecasting models that reduced inventory costs by 21% for a Fortune 500 client (Philip Morris International). • Engineered 50+ features and implemented MLflow-based model governance, reducing drift by 18% and established model versioning via SageMaker.

• Mentored junior analysts in Python and SQL, improving team productivity and delivery timelines by 25%. • Performed risk management analysis for Citizens Bank (USA) using Python, identifying potential credit and operational risks through statistical modeling and simulations, enabling proactive mitigation strategies.

• Improved forecast accuracy by 12% for a manufacturing client by building predictive models to anticipate inventory requirements and machine failures. • Developed interactive Tableau dashboards that visualized production KPIs and risk indicators, giving stakeholders real-time insights and reducing manual reporting time by 30%.