Tapan Karnik is a Forecasting and Scheduling Analyst based in Cork with eight years of experience applying machine learning and optimization to real-world operations. He builds and deploys predictive models—ranging from time-series forecasting for contact center staffing to deep CNNs for image classification—and has published research from his work at the Indian Statistical Institute. Proficient in Python, NumPy, Pandas, scikit-learn and Keras, he also brings hands-on experience with integer and constraint programming to optimize schedules and resource allocation. Tapan combines academic rigor (MSc with first-class honours in Data Science) with practical production delivery at Abtran, routinely achieving forecasting accuracy within ±10%. He’s a polyglot developer and ML enthusiast who automates experiments and tooling to make ML accessible to non-experts, with a public portfolio and active Kaggle/GitHub presence.
8 years of coding experience
Master of Science - MS, Data Science and Analytics, 1H1 (First Class Honours), Master of Science - MS, Data Science and Analytics, 1H1 (First Class Honours) at University College Cork
Bachelor of Technology - BTech, Computer Science, 8.62, Bachelor of Technology - BTech, Computer Science, 8.62 at Vellore Institute of Technology
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