Kumar Shubham

Product Manager

Patna, Bihar, India6 yrs 1 mo experience

Most Likely To SwitchHighly Stable

Key Highlights

Over 6 years of experience in data analytics.
Automated workflows reducing manual effort by up to 90%.
Led critical projects supporting IPO filings and user segmentation.

Stackforce AI infers this person is a Fintech and SaaS data analytics professional with strong automation skills.

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Skills

Core Skills

Data AnalyticsPythonData Analysis

Other Skills

AirflowAutomationExperiment DesignPandasSQLSparkUser SegmentationWorkflow Automation

About

Senior Analyst with over 6 years of experience. Proficient in SQL , Python, Data Analytics, Spark, airflow with a quick learner attitude. Currently working in central Analytics at groww where I design and automate workflows for analytics team, creating pipelines that reduce manual effort.

Experience

Groww

2 roles

Senior Analyst

Promoted

Jul 2024 – Present · 1 yr 8 mos · Bengaluru, Karnataka, India · On-site

I’ve worked at the intersection of data, finance, and product—supporting IPO filings with key metrics, leading AUM-based user segmentation for cross-sell strategies, and building GPT-based tools to boost self-serve rates by 7%. I also automated ad spend pipelines (Apple, Meta, Snapchat), cutting manual effort by 90%, and served as the data liaison for business finance and investor relations across 6 core products.

SQLPythonData AnalyticsSparkAirflow

Data Analyst

Dec 2022 – Jul 2024 · 1 yr 7 mos · Bengaluru, Karnataka, India · On-site

Led experiment design and workflow automation for the Help & Support (HnS) team, streamlining processes and significantly reducing manual efforts across key operations

Experiment DesignWorkflow AutomationData Analytics

Magicpin

2 roles

Senior Associate Analyst

Promoted

Jun 2022 – Dec 2022 · 6 mos · Gurugram, Haryana, India

Automated routine operational workflows using Python and Pandas, cutting manual effort by 50% and boosting team productivity and turnaround time for daily tasks. Also led analysis on pharma order data to fix out-of-stock and pricing issues, reducing order cancellations by 25% and improving the delivery fill rate to 96%.

PythonPandasData Analysis