I’m a developer who specializes in building advanced machine learning models and automating business workflows, with a focus on predictive analytics, resume ranking systems, and NLP solutions. I excel at leveraging technologies such as Python, SpaCy, and SQL to deliver scalable and high-impact results for industries like manufacturing, logistics, and finance. My expertise spans end-to-end data pipeline creation, credit risk modeling, and forecasting, all aimed at solving real-world business challenges.
What sets me apart is my ability to take complex business problems and craft data-driven solutions that deliver measurable outcomes. From cutting down production loss and optimizing logistics to implementing AI-powered tools that boost efficiency, I bring both technical depth and industry knowledge to every project.
*** Employment and project experience
** Data Scientist AB InBev
November 2021 – April 2024
- Designed and deployed a Credit Risk ML model, boosting net revenue by 12.6%.
- Built forecasting models and a generative AI POC for logistics.
** Data Scientist Piramal Glass
October 2020 – October 2021
- Developed a predictive fuel consumption model, saving $500k in costs.
- Built a resume ranking system using SpaCy, reducing screening time by 70%.
** Associate L2 Publicis.Sapient
July 2016 – October 2020
- Developed market mix models and customer behavioral models, increasing campaign effectiveness.
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