Tirna Kundu

About Tirna Kundu

Results-driven professional specializing in Data Science, AI/ML, Business Analytics, and Marketing Strategy. Academic credentials include graduating as a University Topper in GIS & Remote Sensing, an MBA in IT & Marketing, a PGP in AI/ML (UT Austin), and an MS in Data Science (Deakin University).I turn complex data into actionable insights that enable smarter decisions, improved customer experience, and sustainable growth. My experience spans machine learning, predictive analytics, marketing and customer analytics, product research, and performance optimization, with a strong focus on real-world business. I have been at 5W Management Consulting, contributing to a fintech innovation initiative (CardSense), supporting market benchmarking, PRD development, white-space analysis, and go-to-market strategy. Prior roles in marketing analytics at Britannia Industries and GIS-based analytics at Opsis Systems have strengthened my ability to work across diverse data and business environments.Actively exploring opportunities as a Data Analyst, Data Scientist, Business Analyst, Management Consultant or AI/ML Associate. Let’s connect if you’re building data-driven teams or products.

Experience

1. Data & Machine Learning Analyst Client Perfetti Van Melle

   Passionate Solver Technologies

   Jan 2026 — Present · Kolkata, IN

   The project involves Machine Learning–based manufacturing process and energy optimization analytics. Resposibilities in the project involved the following- Designed, trained, and validated machine learning models to analyze manufacturing operations, energy consumption, and process efficiency- Performed rolling 7-day trend analysis to identify anomalies, seasonal patterns, and short-term operational risks- Analyzed and reported daily, weekly, monthly, and annual energy consumption metrics to support cost optimization and sustainability initiatives- Conducted statistical analysis on pressure and cooking temperature relationships to improve process stability and operational control- Executed data imputation, data cleansing, and exploratory data analysis (EDA) to ensure data integrity and uncover key performance drivers.Tools & Technologies:Python (Pandas, NumPy, Scikit-learn), SQL, Machine Learning, Statistical Analysis, Time-Series Analysis, Data Imputation, EDA, Data Visualization (Matplotlib / Seaborn), Manufacturing & Energy Analytics

Education

• The University of Texas at Austin

  Post Graduate Program in AI/ML, Artificial Intelligence and Machine Learning

• Deakin University

  MS Data Science (Global), Data Science

• Mangalam Vidya Niketan

  ICSE, General with Computer Science and Environmental Science

• Mangalam Vidya Niketan

  ISC, Economics, Environmental Sciences, Geography and Others

• Adamas University

  Bachelor of Science - BS, Geography, Computer Science, Statistics and Economics

• Amity University Kolkata

  Master of Business Administration - MBA, Specialization: IT and Marketing