Open to opportunities

siddharth upadhyay

@siddharthupadhyay

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Data Analyst using SQL, Python, and Excel to deliver automated dashboards and ETL insights.

India

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What I'm looking for

I’m looking for a Data Analyst role where I can build automated ETL pipelines, self-serve dashboards, and KPI reporting using SQL and Python—partnering with Sales, Marketing, Ops, and Finance to reduce manual effort and improve decision-making.

I’m a Data Analyst with 2+ years of experience using SQL, Python, and Excel to turn raw business data into actionable insights for Sales, Marketing, Operations, and Finance teams.

I build ETL pipelines and automate recurring reporting, including data validation checks and QA-backed runs. In prior work, I cut manual reporting effort by 70% and saved an estimated 8–10 hours per week by automating 10+ recurring workflows in Python.

I also design dashboards that reduce back-and-forth and speed up decisions—cutting ad-hoc leadership data requests by 40% through self-serve drill-down views (Zone → Region → Centre). Hands-on with BigQuery, Looker Studio, and Power BI, I’ve modeled performance analytics for 500+ users and processed 500K+ rows using cloud pipelines with schema design and data partitioning to improve query performance by ~20%.

Experience

Work history, roles, and key accomplishments

Current

Data Analyst

Current

Zypp Electric

Apr 2026 - Present (3 months)

Managed daily rider income data in Python and SQL to ensure accurate reflection of payments across rider wallets, improving payment processing efficiency. Oversaw hub-wise EV fleet data for 15+ client hubs to track active vehicles, assigned riders, and completed rides.

Python SQL Data Analysis

Data Analyst

Wheelseye Technology

Mar 2024 - Apr 2026 (2 years 1 month)

Automated end-to-end SQL and Python ETL pipelines with data validation across 12 recurring reports, cutting manual reporting effort by 70% and reducing calculation errors by ~15% in incentive payout analytics. Built self-serve drill-down dashboards and streamlined ad-hoc reporting with advanced Excel, reducing requests by 40% and saving 8–10 hours/week while maintaining GCP/BigQuery pipelines for