---
title: "Anup Borde - Associate - Data Analyst in Pune/Pimpri-Chinchwad Area | Tal"
description: "Meet Anup Borde, Senior Data Analyst | Business Intelligence | SQL | Python | Power BI | Data Quality | ESG Analytics | Driving Data-Driven Decision Making based in Pune/Pimpri-Chinchwad Area."
image: "https://tal.club/meet/anup-borde/share-image"
---

# Anup Borde on Tal

## Headline

Senior Data Analyst \| Business Intelligence \| SQL \| Python \| Power BI \| Data Quality \| ESG Analytics \| Driving Data\-Driven Decision Making

## About

Senior Data Analyst with 4\+ years of experience delivering business intelligence, data analytics, reporting automation, and data quality solutions across global organizations\. Currently working with ISS STOXX, where I analyze large\-scale ESG and workflow datasets, develop automated validation frameworks, build KPI dashboards, and support data\-driven decision\-making for business stakeholders\. My experience includes SQL\-based analytics, Python automation, Power BI reporting, root cause analysis, and data governance initiatives that improve operational efficiency and reporting accuracy\. Previously at Cognizant, I developed automation frameworks, optimized reporting processes, and implemented scalable data validation solutions that significantly reduced manual effort and improved business outcomes\. Key Areas of Expertise: • Business Intelligence & Reporting • SQL & Data Analytics • Python Automation • Power BI Dashboard Development • Data Quality & Validation • KPI Reporting & Performance Analysis • Root Cause Analysis • ESG Data Analytics • Stakeholder Management I enjoy transforming complex datasets into actionable business insights and building analytical solutions that enable smarter, faster decision\-making\.

## Location

Pune/Pimpri\-Chinchwad Area

## Work experience

Associate \- Data Analyst at ISS \| Institutional Shareholder Services, Jan 2026 \- Present · 9 mos, • Built an LLM\-powered sentiment analysis pipeline for Jira workflows to analyze issue comments and status transitions and evaluate defect resolution performance\. • Developed automated data pipelines using Python and Atlassian APIs to extract Jira issues, transitions, comments, and linked issue data at scale\. • Implemented multi\-threaded processing to analyze thousands of Jira tickets efficiently and generate structured event timelines for LLM analysis\. • Designed custom LLM prompts combining workflow transitions and comment data to generate sentiment scores and explanations for defect handling quality\. • Automated data extraction and reporting processes, improving analysis efficiency and reducing manual effort\. • Worked extensively with Python, APIs, data processing, and workflow analytics to transform unstructured Jira data into actionable insights\.

Analyst at ISS \| Institutional Shareholder Services, Jul 2024 \- Dec 2025 · 1 yr 6 mos

Software Engineer at Cognizant, Aug 2022 \- Mar 2024 · 1 yr 8 mos, • Effectively transitioned Python scripts, upgrading them from Python 2\.7 to Python 3\.9 • Worked closely with internal teams to create software design and architecture • Accomplished the migration of TWIST Framework test cases to Robot Framework • Formulated and executed specific keywords tailored for diverse purposes • Offered support for the existing system, efficiently addressing and resolving bugs and issues

Programmer Analyst at Cognizant, Dec 2021 \- Aug 2022 · 9 mos, • Frontend Development: Utilized React\.js, HTML5, and CSS to create an intuitive and responsive user interface\. • Backend Development: Employed MySQL for efficient data storage and management\. • Integration: Ensured seamless communication between frontend and backend components\. • Collaboration: Worked closely with a team of developers to implement features and resolve issues\. • Problem\-Solving: Applied analytical thinking to troubleshoot and optimize system performance\. This experience honed my skills in full stack development and reinforced my ability to build robust, scalable web applications\.

## Education

Master of Science \- MS, Data science, Liverpool John Moores University

PGDM, Data science, International Institute of Information Technology Bangalore

[View the original profile](https://tal.club/meet/anup-borde)

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