---
title: "Harsh Jadhav - Student Technical Assistant in Bengaluru | Tal"
description: "Meet Harsh Jadhav, Data Analyst | Business Analyst | BI & Analytics | SQL, Python, Power BI, Tableau based in Bengaluru. AI stack includes claude code, cursor, and gemini. Explore public work links including github."
image: "https://tal.club/meet/harsh-jadhav-2/share-image"
---

# Harsh Jadhav on Tal

## Headline

Data Analyst \| Business Analyst \| BI & Analytics \| SQL, Python, Power BI, Tableau

## About

Data Analyst with 1\.5\+ years turning complex, multi\-source data into business insights that drive decisions — from executive dashboards to KPI frameworks used in leadership reviews\. MS in Computer Science from California State University, Los Angeles, with a focus on the intersection of Data Engineering and Business Intelligence\. What I bring to the table: 📊 ETL Automation: Built and maintained scalable pipelines with Python and Airflow at Cal State LA, resolving recurring failures via root\-cause diagnosis and cutting reporting latency by 20%\. 📈 Business Impact: At Compass Group, automated ingestion workflows and standardized KPI definitions across global financial dashboards — reducing manual data prep time by 30% and eliminating recurring data quality incidents\. 🔍 Analytical Depth: Applied statistical analysis and NLP to real\-world datasets \(IPL auction value modeling, 50k\+ Amazon review sentiment analysis\), translating raw data into business\-ready insights\. Technical Stack: SQL \(Window Functions, CTEs, Joins\) · Python \(Pandas, NumPy, Scikit\-learn\) · AWS \(S3, Redshift\) · Tableau · Power BI · Airflow Open to Data Analyst / Business Analyst opportunities where I can bridge technical data work with stakeholder decision\-making\.

## Location

Bengaluru

## AI stack

claude code

cursor

gemini

github copilot

## Work experience

Student Technical Assistant at California State University, Los Angeles, Sep 2024 \- May 2025 · 9 mos, Los Angeles, California, United States, ▸ Standardized data access across reporting teams by designing a unified integration layer \(internal APIs \+ batch jobs\), resolving data conflicts and establishing a single source of truth for dashboards\. ▸ Investigated recurring Airflow pipeline failures using log analysis and root\-cause diagnosis — reduced end\-to\-end reporting latency by 20% and restored consistent on\-time data availability for weekly reporting cycles\. ▸ Implemented automated data quality checks across pipeline outputs to prevent downstream reporting errors, improving dataset reliability for analyst and stakeholder teams\. ▸ Supported delivery of actionable insights to non\-technical stakeholders by maintaining data integrity across 4 production ETL pipelines ingesting from multiple sources\.

Data Engineering Intern at Compass Group, May 2024 \- Aug 2024 · 4 mos, Los Angeles, California, United States, ▸ Redesigned data models and schema structures in collaboration with BI stakeholders, directly improving Weekly Business Review \(WBR\) dashboard performance and reporting reliability\. ▸ Standardized KPI definitions and reporting logic across global financial dashboards, ensuring consistency in business metrics presented at executive\-level performance reviews\. ▸ Reduced manual data preparation time by 30% by automating ingestion workflows with row\-count validation and schema drift detection — eliminating recurring data quality incidents for the BI team\. ▸ Cleaned and consolidated 100k\+ row datasets from multiple enterprise systems using Python and SQL, freeing analysts from manual reconciliation\.

Data Analytics Intern at AlgoAnalytics, Jul 2022 \- Mar 2023 · 9 mos, Pune District, Maharashtra, India, ▸ Mapped the complete customer journey for the first time by engineering backend tracking logic to capture previously unrecorded user actions, creating a new behavioural data stream for the analytics team\. ▸ Delivered feature usage insights by analysing pre/post data patterns across system changes — gave leadership direct visibility into user engagement trends that shaped product decisions\. ▸ Improved daily analyst productivity by restructuring relational tables and adding strategic indexes, reducing query response times for high\-frequency reporting queries\.

## Education

Master's degree, Computer Science, California State University, Los Angeles

B\.tech, Computer Engineering, Vishwakarma Institute of Technology

## Public links

- github: https://github\.com/Harsh275110

[View the original profile](https://tal.club/meet/harsh-jadhav-2)

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