Shubhang Sharma
@shubhangsharma
AWS Certified (2x) | Data Engineer – Machine Learning & AI @ ZS | AI/ML | Analytics | Python | SQL | PySpark | Turning data into decision
What I'm looking for
I’m a Data Engineer focused on ML-driven analytics, turning messy healthcare data into production-ready segmentation and decision-support. At ZS ASSOCIATES, I designed, trained, and validated clustering + classification models on 100K+ professionals, improving targeting accuracy by 20% and reducing insight turnaround time by 30%.
I engineer end-to-end data systems that eliminate manual work and improve reliability. I built 5+ fault-tolerant ETL pipelines processing 500K+ records per month, and refactored legacy workflows to reduce execution time from 3 days to 3 hours (~96%), while deploying cloud-native pipelines with monitoring, schema validation, and enriched, quality-controlled data for downstream ML.
I also bridge analytics to products through scalable APIs and integrations. I architected and deployed 8+ RESTful APIs with Python/Flask to expose curated ML-derived datasets—cutting API response times by 60%—and helped power dynamic dashboards and drill-down experiences, improving overall UI experience by 40%.
Experience
Work history, roles, and key accomplishments
Built AI/ML models and scalable data pipelines to transform healthcare analytics at scale. Improved targeting accuracy by 20% across 100K+ healthcare professionals, processed 500K+ records monthly through automated ETL workflows, reduced execution time by 96%, and delivered real-time insights through APIs and interactive dashboards.
Education
Degrees, certifications, and relevant coursework
IIIT Bangalore
Postgraduate Programme in Data Science, Data Science
2022 - 2023
Grade: 3.6/4 CGPA
Postgraduate programme in data science with coursework in data analytics, machine learning, statistical modeling, hypothesis testing, predictive analytics, and AI. Completed industry capstone projects and earned a CGPA of 3.6/4.
Maharaja Agrasen Institute of Technology
Bachelor of Technology in Computer Science and Engineering, Computer Science and Engineering
2019 - 2023
Grade: 8.9/10 CGPA
Bachelor of Technology programme in computer science and engineering. Earned an overall CGPA of 8.9/10.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Salary expectations
Job categories
Skills
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