Koushik Khan

I am a seasoned data scientist with close to nine years of industry expertise in developing data-driven solutions. I am skilled in applying statistical and machine learning algorithms on both structured and unstructured datasets. I have a proven track record of aligning data insights with business objectives, collaborating cross-functionally, and innovating with new modeling techniques. I am seeking to leverage my skills to address diverse business challenges and drive actionable resolutions in a dynamic professional environment.

In my current role as a Principal Data Scientist at S&P Global Inc., I lead a team in developing essential DevOps pipelines and APIs for maritime supply chain products. I have developed ML models to classify potentially risky bill-of-lading documents, reducing seaborne trade financing risks. I have also developed a dashboard showing quarterly forecasts of GHG emission by ships and its business impacts. Additionally, I re-engineered a time-consuming manual process to an automated workflow, shooting up team efficiency by 70%. I deployed a legacy codebase to AWS, boosting product performance by acquiring new clients and generating 15% higher revenue.

Prior to my current role, I worked as a Data Scientist at IBM India Pvt. Ltd. where I developed a machine learning-based application simplifying tech support ticket analysis, expediting resolutions by 30%. I also envisioned, built, and deployed a banking FAQ retrieval system that outperformed existing term-based models by 40%. Furthermore, I played a key role in developing text-cleaning and modeling pipelines for IBM Watson sentiment analysis API.

During my tenure at BCausE Enterprise Pvt. Ltd., I worked as a Data Analyst and collaborated on identifying potential consumers for an in-house product by developing a customer segmentation model. I also facilitated my team by developing automation tools to scrape data periodically from web pages and make them structured.