About
IIT-Certified Data Analyst with 4+ years of experience in Statistical Modeling, Data Integrity, and Business Insights. Expertise in SQL, Python (Pandas/Scikit-learn), and Tableau, with a proven track record of managing large-scale datasets (300k+ records). Transitioned from Industrial Quality Control to AI Data Validation at Turing, supporting Google DeepMind projects. Expert in identifying data anomalies, performing Root Cause Analysis, and translating complex metrics into actionable business strategies.
Skills & Expertise (25)
Work Experience
Business Analyst (AI Data Quality)
Turing (Google DeepMind Project)
Mar 2026 - Present
Perform high-volume Side-by-Side (SxS) evaluations on GHD to benchmark LLM outputs for accuracy, relevance, and grounding. Execute rigorous fact-checking workflows to identify data inconsistencies, hallucinations, and subtle inaccuracies in AI-generated datasets. Author detailed, data-backed justifications for evaluation decisions, ensuring high-quality training data for model optimization. Utilize browser-based diagnostic tools and command-line interfaces (CLI) to navigate complex evaluation workflows and audit data integrity. Monitor and document data trends, ensuring all outputs align with strict project-specific quality standards and technical guidelines. Collaborate with cross-functional teams to provide actionable insights on model performance and edge-case anomalies.
Data Research & Portfolio Development
Independent / Upskilling
Jul 2022 - Feb 2025
Dedicated 2.5 years to a strategic career pivot into Data Science, completing 18+ end-to-end projects in SQL, Python, and Tableau. Engineered data pipelines for complex datasets (300k+ rows) focusing on Financial Fraud and Healthcare Analytics, now hosted on GitHub. Mastered advanced statistical modeling and predictive analytics, leading to successful admission into the IIT Kanpur Professional Program.
Quality Controller (Data and Process analyst)
Faridabad
Jan 2019 - Jan 2022
Managed and analyzed large-scale production datasets to evaluate mechanical part quality, achieving a 95% reduction in defect rates through variance analysis. Applied linear regression techniques to historical production data to identify seasonal trends and predict machine maintenance cycles, minimizing downtime. Implemented Outlier Detection methods using statistical distribution models (Z-score/Median) to identify and isolate defective components. Conducted standard deviation analysis for tolerance optimization, leading to a 15% improvement in manufacturing accuracy and material cost savings. Developed weekly Quality Insight Reports for senior management, translating raw technical data into actionable process improvement initiatives.
Education
Certification in Data Analytics and Gen AI - Indian Institute of Technology Kanpur
2025 - 2026 · Afghanistan
B.tech in Mechanical Engineering - SRM Institute of Science And Technology
2015 - 2019 · Afghanistan
Certifications
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Skills (25)
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