Headline

Intern @ Grindwell Norton Ltd | Aspiring Data & Business Analyst | Mechanical Engineering + Analytics | SQL · Python · Excel · Power BI · Tableau | Manufacturing, Operations & Business Insights

About

Engineering trained me to diagnose root causes. Data analytics gave me the tools to prove them. I'm a mechanical engineer (M S Ramaiah Institute of Technology) who made a deliberate pivot into data analytics, and I use both disciplines together: systems thinking to frame the right question and Python, SQL, Power BI, and Tableau to answer it with evidence. A few findings from recent project work: - Analyzed 1,581 automobile sales records and found female buyers were 5 times more likely to choose SUVs than male buyers (52% vs 10%), disproving a stakeholder's targeting assumption. - Built a 4-page Power BI dashboard on a 3,000-employee dataset and flagged 1,223 people (49.8% of the active workforce) as flight risks: strong performers with 5+ years of tenure and no promotion - Found a U-curve in per-bedroom Airbnb pricing across 2,580+ Seattle listings; mid-size properties earn 18% less per bedroom than either extreme, meaning 3-4 bedroom hosts are likely mispricing. - Found zero overlap between Amazon's most-discounted and highest-rated product categories, and that premium-tier products outranked budget-tier (4.11 vs 4.04), the opposite of the standard price-expectation assumption At Kennametal India, I applied the same approach to physical operations: consolidating three manufacturing datasets across 1,000+ parts into one Excel-based lookup tool and auditing physical stock against digital records to close inventory gaps. I'm currently completing Great Learning's Postgraduate Program in Data Science with GenAI, building the technical side of this pivot alongside the engineering foundation. Open to Data Analyst, Business Analytics, and Manufacturing/Operations Analytics roles anywhere: the numbers need someone who also understands what generated them. Portfolio: https://dsai04.github.io/

Location

Bengaluru

AI stack

claude code

grok

notebooklm

ChatGPT

ChatGPT Images

Julius AI

Work experience

Intern at Grindwell Norton Ltd, Sep 2026 - Present · 1 mo, Bengaluru, Karnataka, India

Data & Operations Intern at Kennametal, Jul 2025 - Sep 2025 · 3 mos, Bengaluru, Karnataka, India, Joined the operations team at Kennametal India's manufacturing facility to work on inventory data consolidation and stock analysis. - Built an XLOOKUP/INDEX-MATCH system across 3 manufacturing datasets covering 1,000+ parts — replaced a manual cross-referencing workflow and gave the planning team a single-source view of inventory requirements vs. outstanding procurement shortfalls. - Analyzed production schedules against inventory records to identify structurally persistent shortages in specific part categories — diagnosed as a systemic procurement gap, not one-off discrepancies. - Audited 1,000+ physical units against system records and reorganized warehouse stock by material code to improve traceability and retrieval accuracy. Tools: Microsoft Excel (XLOOKUP, INDEX-MATCH, Pivot Tables)

Student Intern at Hindustan Aeronautics Limited, Sep 2024 - Oct 2024 · 2 mos, Bengaluru, Karnataka, India, Analyzed manufacturing and production workflows to understand system-level operations in aircraft assembly, applying engineering principles to interpret real-world industrial processes and operational data flows.

Education

Postgraduate Degree, Data Science with GenAI, Great learning

Bachelor of Engineering - BE, Mechanical Engineering, Ramaiah Institute Of Technology

Public links

github: https://github.com/dsai04

dsai04.github.io: https://dsai04.github.io/