Priyesh Singh
@priyeshsingh1
Analytics Engineer specializing in finance and AI-driven insights.
IndiaWhat I'm looking for
I am an Analytics Engineer with over 4 years of experience transforming high-volume data into actionable insights for global marketplaces, including Uber and JoVE. My expertise lies in SQL, Python, and ETL processes, where I have successfully unified financial data into a single source of truth and automated month-end close processes. I thrive in fully distributed teams, collaborating across multiple time zones to drive revenue and improve operational efficiency.
At JoVE, I consolidated over 30 legacy data pipelines into a streamlined, Git-controlled model, significantly reducing query runtime and analyst workload. My innovative approach led to the development of an AI-driven self-serve assistant that drastically improved reporting turnaround times. Previously at Uber, I automated critical reporting processes and developed models that enhanced pricing strategies, earning commendations for my contributions to the company's financial performance.
Experience
Work history, roles, and key accomplishments
Data Analyst
JoVE
Sep 2024 - Present (11 months)
Consolidated 30+ legacy data pipelines into a Git-controlled, dbt-modelled single source of truth (SSOT) with CI/CD auto-deployments, producing indexed, join-ready tables that cut query runtime by 70%, reduced storage redundancy by 55%, and saved approximately 30 analyst hours per week. Built an AI-driven self-serve GPT-4 assistant that converts plain-English asks into SQL and auto-publishes Metab
Data Analyst
Uber Carshare
Aug 2022 - Aug 2024 (2 years)
Integrated Xero, Zendesk, Stripe, and ledger feeds into Redshift, surfaced in Looker explorers, slashing data-gathering time by 80% and giving the CFO a single view for weekly unit-economics RCA. Automated P&L and loss-run reporting via Airflow-orchestrated SQL, cutting month-end close from 5 to 2 days and eliminating 20+ analyst hours each month.
Sr. Business Analyst
Uber
Jul 2021 - Aug 2022 (1 year 1 month)
Led analytics for Uber India’s marketplace, partnering with product, operations, and finance teams to align on business objectives and experiment design, ensuring a data-driven strategy across LoBs. Developed scalable automation processes for driver tagging, reducing support escalations by 65% and lowering operational costs by 8% through improved driver issue categorisation.
Education
Degrees, certifications, and relevant coursework
National Institute of Technology (NIT) Meghalaya
Bachelor of Technology, Technology
2017 - 2021
Studied a Bachelor of Technology at the National Institute of Technology (NIT) Meghalaya. Achieved a CGPA of 8.18.
Availability
Location
IndiaAuthorized to work in
Job categories
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