Jay Hiran
ENTRY-LEVEL DATA SCIENTIST | APPLIED MACHINE LEARNING | PYTHON & ANALYTICS
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About
Entry-level Data Science candidate with an M.Tech in Data Science & Engineering and industry experience in automotive analytics, BI reporting and workflow automation. Built an EV battery SOC/RUL estimation pipeline using Python, Kafka, Spark and XGBoost, and automated ASN/EDI preparation at AAIG, reducing weekly manual effort. Combines applied ML projects with practical Power BI and Excel reporting experience.
Experience
Technical & Automation Engineer at AA Infinite Global Alliance (2026-01 – Present)
- Built a six-step Python workflow for website-based ASN/EDI data retrieval and Excel-ready transformation, reducing weekly preparation from 4–5 hours to under 20 minutes (Approx. 93%) while retaining manual verification before master-sheet entry.
- Automated an Excel reporting dashboard to refresh KPIs from master data on workbook open, replacing recurring manual report preparation; developing OCR extraction for invoice fields and analysing warehouse inventory for dead-stock patterns.
Sales Analyst - Technical Sales & Commercial Analytics at Linamar India Pvt. Ltd. (2023-03 – 2025-10)
- Built and maintained 10 interconnected Power BI dashboards tracking raw-material prices, OEM market share and customer-demand patterns across passenger vehicles, commercial vehicles, two-wheelers and three-wheelers.
- Analysed monthly SIAM/ACMA sales, production and export datasets and used S&P Global production forecasts to support OEM targeting and business-development planning across a portfolio of 13 OEM/Tier-1 accounts.
- Managed customer raw-material data in advanced Excel master workbooks, tracked LME aluminium (A356 alloy) pricing indices, and supported quarterly part-price updates and commercial reporting.
Engineer Intern - Passenger Vehicle Engine Plant at Tata Motors (2022-06 – 2022-11)
- Applied HIRA-based root-cause analysis and 5S/Poka-yoke methods to engine-assembly defects; standardised QA checklists and supported crankshaft and connecting-rod failure analysis.
Education
M. Tech. in Data Science & Engineering – BITS Pilani (WILP) (2024-10 – 2026-09)
B. Tech. in Automobile Engineering – Symbiosis Skills & Professional University (2020 – 2023)
Diploma in Automobile Engineering – Pimpri Chinchwad Polytechnic (2017 – 2020)
