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I’m a dynamic AI/ML engineer with a Master’s in Data Science from the University of Minnesota. I enjoy turning complex datasets into scalable ML solutions, with a focus on NLP and time-series forecasting to drive actionable insights. My work spans bioinformatics, predictive analytics, and ETL pipelines, delivered with reproducibility and measurable impact. I thrive in collaborative, interdisciplinary teams and value responsible AI practices and reproducible research.…I’m a dynamic AI/ML engineer with a Master’s in Data Science from the University of Minnesota. I enjoy turning complex datasets into scalable ML solutions, with a focus on NLP and time-series forecasting to drive actionable insights. My work spans bioinformatics, predictive analytics, and ETL pipelines, delivered with reproducibility and measurable impact. I thrive in collaborative, interdisciplinary teams and value responsible AI practices and reproducible research.

SANSKRUTI SANJAY DESHMUKH

Data Scientist, AI Engineer, Back-End Developer, +2

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I’m a dynamic AI/ML engineer with a Master’s in Data Science from the University of Minnesota. I enjoy turning complex datasets into scalable ML solutions, with a focus on NLP and time-series forecasting to drive actionable insights. My work spans bioinformatics, predictive analytics, and ETL pipelines, delivered with reproducibility and measurable impact. I thrive in collaborative, interdisciplinary teams and value responsible AI practices and reproducible research.…I’m a dynamic AI/ML engineer with a Master’s in Data Science from the University of Minnesota. I enjoy turning complex datasets into scalable ML solutions, with a focus on NLP and time-series forecasting to drive actionable insights. My work spans bioinformatics, predictive analytics, and ETL pipelines, delivered with reproducibility and measurable impact. I thrive in collaborative, interdisciplinary teams and value responsible AI practices and reproducible research.

Available to hire

I’m a dynamic AI/ML engineer with a Master’s in Data Science from the University of Minnesota. I enjoy turning complex datasets into scalable ML solutions, with a focus on NLP and time-series forecasting to drive actionable insights.

My work spans bioinformatics, predictive analytics, and ETL pipelines, delivered with reproducibility and measurable impact. I thrive in collaborative, interdisciplinary teams and value responsible AI practices and reproducible research.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Work Experience

Research Assistant at The Hauck Lab - University of Minnesota

July 1, 2025 - Present

Pioneered AI-driven RNA-seq data processing to identify differentially expressed genes; orchestrated end-to-end RNA-seq workflows for 287+ samples; developed modular ML pipelines for automated feature extraction and model validation; refined gene expression models to reduce computational overhead while preserving accuracy; applied NLP for literature mining to support hypothesis generation; deployed version-controlled experiments with Git and Docker ensuring traceability.

ML Engineer at Maxgen Technologies

June 1, 2025 - October 19, 2025

Engineered ETL pipelines in Apache Airflow and Python to process ~690K daily transactions; designed Snowflake schemas to support ML-based risk scoring, cutting query latency by 50%; automated compliance workflows with AWS Step Functions, Lambda, and S3; exposed models as REST API services to support scalable forecasting; evaluated 60+ regression models and achieved up to 85% accuracy on business KPIs; performed EDA on 800K+ records and optimized feature engineering to reduce overfitting; integrated multi-source client data via SQL and Python pipelines to accelerate data readiness.