Sanskruti Sanjay Deshmukh

Machine Learning Engineer

United States1 yr 5 mos experience
Most Likely To SwitchAI Enabled

Key Highlights

  • Pioneered AI-driven RNA-seq data processing.
  • Engineered ETL pipelines for real-time anomaly detection.
  • Secured publication in a tier-1 scientific journal.
Stackforce AI infers this person is a Data Science and Bioinformatics specialist with a focus on Machine Learning applications.

Contact

LinkedIn

Skills

Core Skills

Machine LearningBioinformaticsData Engineering

Other Skills

PythonAI-driven RNA-seq data analysisData reproducibilityStatistical ML methodsNLPGitDockerETLApache AirflowSnowflakeAWSScikit-learnPandasChatGPTPrompt Engineering

About

As a Research Assistant at the University of Minnesota, I contribute to AI-driven RNA-seq data analysis, developing modular Python-based machine learning pipelines to enhance data reproducibility and investigate gene expression. My work supports critical bioinformatics research and has enabled publication in a tier-1 journal while securing additional funding for the lab. With a Bachelor of Engineering in Artificial Intelligence and Data Science from Sant Gadge Baba Amravati University and ongoing pursuit of a master's in Data Science, I focus on leveraging machine learning, Python programming, and analytics to create scalable, efficient solutions. I aim to advance the integration of ML into bioinformatics research and contribute to innovative discoveries in the field.

Experience

1 yr 5 mos
Total Experience
8 mos
Average Tenure
9 mos
Current Experience

University of minnesota

Research Assistant

Aug 2025 – Present · 9 mos · United States · On-site

  • Pioneered AI-driven RNA-seq data processing using Python and machine learning techniques to identify differentially expressed genes, enabling
  • publication in a tier-1 scientific journal and securing additional research funding.
  • Orchestrated end-to-end RNA-seq workflows for 287+ samples, integrating ML-based pathway enrichment analysis to boost data reproducibility by
  • 60% and investigate HDAC3 knockout impacts (GSE234232).
  • Devised modular Python-based ML pipelines in JupyterLab/Anaconda, enhancing pipeline reusability by ~40% through automated feature extraction
  • and model validation.
  • Refined gene expression models with statistical ML methods, reducing computational overhead by 35% while maintaining high accuracy in differential analysis.
  • Championed interdisciplinary AI applications, incorporating NLP for scientific literature mining to support hypothesis generation and model
  • refinement.
  • Deployed version-controlled ML experiments using Git and Docker, ensuring 100% traceability and facilitating seamless team collaboration on
  • bioinformatics projects.
PythonMachine LearningAI-driven RNA-seq data analysisData reproducibilityStatistical ML methodsNLP+3

Maxgen technologies

Machine Learning Engineer

Oct 2024 – Jun 2025 · 8 mos · Remote

  • Engineered ETL pipelines in Apache Airflow and Python to handle ~690K daily transaction records, enabling anomaly detection models to operate in near real-time.
  • Formulated Snowflake schemas (normalized + star) that supported ML-based risk scoring, improving dashboard responsiveness and cutting query latency by 50%.
  • Automated compliance workflows with AWS Step Functions, Lambda, and S3, reducing reporting turnaround time by 38% through predictive ML integration.
  • Integrated ML models as REST API services, ensuring smooth deployment of forecasting solutions and strengthening system scalability for client growth.
  • Evaluated 60+ regression models in Scikit-learn, optimizing hyperparameters and delivering up to 85% accuracy on business KPI forecasting.
  • Conducted EDA techniques on 800K+ financial records using Pandas and visualization libraries, identifying data patterns that guided feature engineering and
  • reduced model overfitting by 25%.
  • Unified multi-source client datasets through SQL and Python pipelines, leveraging preprocessing automation to accelerate data readiness by 35%.
ETLApache AirflowPythonSnowflakeAWSScikit-learn+3

Education

University of Minnesota

Master's degree — Data science

Aug 2025 – Sep 2027

Sant Gadge Baba Amravati University, Amravati

Bachelor of Engineering - BE — Artificial intelligence and data science

Dec 2021 – May 2025

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