Nitish Varma
@nitishvarma
Data Scientist focused on ML-driven automation, data quality, and supply-chain optimization with measurable INR savings.
IndiaWhat I'm looking for
I’m a Data Scientist with 2 years of experience building reliable ML-powered pipelines, data quality automation, and BI/LLM-driven workflows. I’ve focused on turning messy data into actionable insights that teams can actually use—especially in procurement and supply chain contexts.
At Birlanu (CKABirla Group), I deployed ML pipelines on Azure ML for procurement cost optimization, delivering 20M+ INR in annual savings. I automated ETL workflows with Python and Azure Data Factory, monitored data drift and model performance with scheduled retraining, and improved adoption through real-time Power BI dashboards.
I also strengthen the foundation behind every model by validating data, handling exceptions, and reducing errors by 70%. In parallel, I delivered faster analytics impact as a Data Analyst Intern—transforming large datasets with Python and SQL to improve accuracy by 20% and reduce processing time by 40%.
Experience
Work history, roles, and key accomplishments
Data Scientist
Cka Birla Group
Nov 2023 - Jul 2025 (1 year 8 months)
Deployed ML pipelines on Azure ML to optimize procurement costs, delivering INR 20M+ in annual savings. Automated ETL and data validation, monitored data drift for model retraining, and built Power BI dashboards, reducing errors and manual effort by 70%.
Data Analyst Intern
Skill-Lync
Dec 2022 - Mar 2023 (3 months)
Improved analytics performance by transforming large datasets with Python and SQL, increasing accuracy by 20% and reducing processing time by 40%. Built Power BI dashboards and automated data transformation pipelines, reducing manual reporting by 50%.
Education
Degrees, certifications, and relevant coursework
Guru Nanak Institutions Technical Campus
Bachelor of Technology (B.Tech), Civil Engineering
2016 - 2020
Completed a B.Tech in Civil Engineering at Guru Nanak Institutions Technical Campus, Hyderabad from 2016 to 2020.
Availability
Location
IndiaAuthorized to work in
Salary expectations
Social media
Job categories
Skills
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