🤖 ML-Ops @ Quantum: Built production pipelines with automated retrain triggers (> 2% MAPE variance) handling 2.3GB of data.
📊 Analytics @ PwC & TCS: Engineered DAX KPI engines and global sales maps driving clear ROI insights.
🛠️ High-Yield Models: Deployed Random Forest + SMOTE (+15% churn capture), SHAP-boosted price forecasting ($R^2$: 0.71 ➔ 0.86), and NLP recruitment fraud detectors (0.90 F1-score).
vasnhit Bassi
@vanshit_bassi
🚀 ML-Ops & Enterprise Analytics Specialist bridging scalable cloud pipelines (3.7M+ records) with production-grade AI.
Experience
Work history, roles, and key accomplishments
⚙️ Data Pipeline Optimization: Engineered a high-throughput ETL pipeline using feature pruning to slash dimensionality by 91.4% without signal loss🎯 Predictive Modeling: Developed a lag-based regression model reducing MAE by 98.4% against baseline ARIMA(1,1,1) models in volatile markets
Engineered enterprise-grade Business Intelligence solutions in a self-directed remote setup, turning workforce and operational data into clear, scalable analytics dashboards. ⚙️ Custom DAX KPI Engine: Built 9+ advanced DAX measures to evaluate core workforce performance, including tracking a 38.9% promotion velocity index.
Education
Degrees, certifications, and relevant coursework
Institute of Management Studies
BCA, Information Technology
2022 - 2025
Grade: 6.5
Activities and societies: Participated on Hack-A-Thon Event, Workshop on IT Field as Tableau, Power BI, Data Analyst, Java Programming with DSA and Worked on Research Paper, Playing badminton, Volley Ball, Art & Craft,
"My academic journey at the Institute of Management Studies (IMS) Ghaziabad has provided me with a strong foundation in business principles and analytical techniques. IMS's curriculum emphasizes practical application and industry relevance, equipping me with the skills needed to excel in the field of Data Analytics."
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Salary expectations
Social media
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