Summary
Sahil Vartak is an Advanced Data Scientist with a decade of experience building production ML systems, currently driving data science initiatives at Honeywell from Atlanta. He combines a USC MS in Computer Science with hands-on expertise in PySpark, Azure Databricks, MLOps and CI/CD to deliver performant, cost-effective solutions that emphasize automated testing and model retraining. At Honeywell he has reduced validation effort by 70%, slashed prediction latency by 80%, and engineered anomaly-detection pipelines that improved adoption and turnaround by double digits. His background ranges from research-grade ML and PhD-level thinking to practical feature engineering and thresholding techniques that cut review backlogs by over half. Known for marrying rigorous evaluation (SHAP/LIME explainability) with pragmatic deployment, he thrives on making complex models reliable, interpretable, and business-impactful.
10 years of coding experience
3 years of employment as a software developer
Master of Science - MS, Computer Science, 3.9, Master of Science - MS, Computer Science, 3.9 at University of Southern California
Bachelor of Engineering - BE, Computer Engineering, 9.69/10, Bachelor of Engineering - BE, Computer Engineering, 9.69/10 at MCT's Rajiv Gandhi Institute Of Technology
Hindi, English, Marathi