---
title: "Abhinav Jain - Business Analyst in India | Tal"
description: "Meet Abhinav Jain, Analyst | Agentic Workflows | Python | SQL based in India. AI stack includes claude code, claude, and cursor."
image: "https://tal.club/meet/abhinav-jain-4/share-image"
---

# Abhinav Jain on Tal

## Headline

Analyst \| Agentic Workflows \| Python \| SQL

## About

I work with data and systems to understand problems and build better ways of doing things\. I like understanding how things work and finding better ways to build them\. I naturally think in systems\. Whether it’s data, workflows, or processes, I tend to break things down, question what’s inefficient, and look for ways to make them simpler and more effective\. I’m drawn to clarity\. If something feels repetitive or manual, I start thinking about how it can be optimized or automated\. I’m also curious about how AI and automation can change the way we work, not just by doing tasks faster, but by helping build smarter systems\. Outside of work, I write and release music\. It keeps me creative and gives me a different way to express ideas\.

## Location

India

## AI stack

claude code

claude

cursor

geminicli

mistral

ollama

## Work experience

Business Analyst at BEWAKOOF®, Mar 2026 \- Present · 7 mos, Bengaluru, Karnataka, India, \- Gathered business requirements and built a structured database in Databricks to replace scattered Excel\-based sales and inventory tracking, reducing data preparation time from 2–3 hours to 15–20 minutes\. \- Consolidated 7 manual reports into a single automated dashboard covering SKU\-level and category\-level KPIs across daily, weekly, monthly, and YoY views which reduced reporting time from 90 minutes to under 15 minutes; adopted for leadership and CEO reviews\. \- Designed an automated alert system tracking ad spend against budget at SKU level, notifying stakeholders via Google Chat on threshold breaches \- improved marketing ROI by 5%\. \- Built a pricing recommendation tool using an LLM \(Mistral\) trained on 2\.5 years of historical sales data to support channel\-level pricing decisions, achieved 87% accuracy and \~2% margin improvement within the first month\. \- Leading development of a root cause analysis \(RCA\) tool to automatically identify drivers behind sales anomalies, reducing manual investigation time\.

Data Analyst at Flipkart, Apr 2025 \- Mar 2026 · 1 yr, Bengaluru, Karnataka, India, \- Identified and resolved data mapping discrepancies between manpower and vendor databases, improving payout and reporting accuracy by 12%\. \- Built and deployed an automated reporting system in Python generating three different reports for over 17,000 vendors, reducing manual effort by 70% and increasing data accuracy by 90%\. \- Extracted, cleaned, and analyzed large datasets using Python \(Pandas, NumPy\) and SQL, and developed interactive dashboards in Power BI and Tableau for real\-time operational insights\. \- Collaborated with operations and vendor management teams to translate analytical insights into actionable strategies for resource optimization and performance tracking\.

Data Analyst at Urban Company, Oct 2024 \- Apr 2025 · 7 mos, \- Built and maintained standardized dashboards using Power BI and Tableau to monitor hub\-wise delivery metrics and partner engagement\. \- Automated weekly and monthly performance reports using SQL and Excel, reducing manual effort and improving accuracy\. \- Analyzed operational data to identify delivery gaps, contributing to a 15% improvement in overall delivery success rate\. \- Reduced unnecessary partner blocks by 27% through root cause analysis using dashboards and AI\-based tools\. \- Collaborated with product, operations, and strategy teams to deliver data insights aligned with business objectives\. \- Cleaned and transformed large datasets to extract actionable insights for leadership and on\-ground teams\. \- Presented data findings in a simplified, easy\-to\-understand format to support decision\-making and process improvements\. \- Enhanced cross\-functional communication by translating data insights into strategic business recommendations\.

Data Science Intern at Slash Mark IT Startup, Oct 2023 \- Jan 2024 · 4 mos, Bengaluru, Karnataka, India, \- Helped in creating simple models and learned the fundamentals of data analysis\. \- Analysed datasets to find patterns and trends, and created visualizations to share key insights\. \- Identified internet\-based data sources, assessed structure, and initiated SQL queries for extraction, Craft precise SQL queries, considering required fields, filters, and joins for targeted dataset retrieval\.

Sales Insight Project at Personal Projects, Aug 2023 \- Sep 2023 · 2 mos, Bengaluru, Karnataka, India, \-Identify internet\-based data source, assess structure, and initiate SQL queries for extraction\. \-Craft precise SQL queries, considering required fields, filters, and joins for targeted dataset retrieval\. \-Execute queries, preprocess data, and address anomalies to ensure a clean dataset for Power BI\. \-Import the prepared dataset into Power BI, establishing accurate relationships between tables\. \-Utilize Power BI's drag\-and\-drop features to create an intuitive layout for the dashboard\. \-Conduct thorough testing, gather feedback, and iterate for a polished, user\-friendly Power BI dashboard\.

## Education

Bachelor of Engineering \- BE, Computer Science, Visvesvaraya Technological University

[View the original profile](https://tal.club/meet/abhinav-jain-4)

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