---
title: "Harsh Vardhan Shalihotri - Senior Business Intelligence Analyst in Hyderabad | Tal"
description: "Meet Harsh Vardhan Shalihotri, AI | Blend | IIT Roorkee | DTU based in Hyderabad. AI stack includes anthropic apis, claude code, and codex."
image: "https://tal.club/meet/harsh-vardhan-shalihotri/share-image"
---

# Harsh Vardhan Shalihotri on Tal

## Headline

AI \| Blend \| IIT Roorkee \| DTU

## About

As a Senior Business Intelligence Analyst at Blend, I apply my expertise to extract strategic insights and optimize business performance\. Alongside my role, I am pursuing a Master of Financial Engineering at World Quant University\. My passion lies in quantitative and algorithmic trading, as well as exploring the potential of Generative AI and fintech applications\. I am dedicated to staying abreast of industry developments and leveraging my diverse skill set to drive innovation and success\.

## Location

Hyderabad

## AI stack

anthropic apis

claude code

codex

cursor

hugging face

mcp

## Work experience

Senior Business Intelligence Analyst at Blend, May 2024 \- Present · 2 yrs 5 mos, Hyderabad, Telangana, India, • Global Award Finalist in Innovation Category 2025 • Spearheaded the migration of 100\+ legacy reports built over Universal Analytics for a retail client, transitioning them to PowerBI resulting up to 70% cost reduction in reporting infrastructure\. • Collaborated with marketing leaders gathering business requirements, understanding data inconsistencies, and delivered actionable insights resulting in a 60%\-80% time and cost savings • Troubleshoot production issues related to reporting, cube, data warehouse refreshes and ETL issues\. • Orchestrated scalable DAGs leveraging HDFS infrastructure and Apache Airflow for a FinTech client aiming to reduce the manual efforts by around 95%\. • Designed and developed customer data marts for a food delivery e\-commerce client using on\-premises Oracle databases, writing complex SQL queries and CTEs to deliver tailored reporting solutions that enhanced efficiency and decision\-making for marketing and merchandising teams\. • Demonstrated expertise in data governance, self\-service analytics, and empowered internal stakeholders with tailored training sessions\. • Optimized operations and cut costs for a global sports e\-commerce client by building SQL\-based Snowflake pipelines, transforming data with dbt, and deploying Tableau dashboards across 300\+ stores to enhance supply chain efficiency and decision\-making\.

Business Intelligence Analyst at Blend, Aug 2022 \- May 2024 · 1 yr 10 mos, Hyderabad, Telangana, India

Department Placement Representative at Indian Institute of Technology, Roorkee, Oct 2021 \- Sep 2022 · 1 yr, Roorkee, Uttarakhand, India

Equity Capital Market Analyst at Finlatics, Jul 2021 \- Sep 2021 · 3 mos, India, • Tracked down daily price movements using NSE pre\-open market data and invested in around five stocks following intraday market strategy\. • Carried out research on real\-time market data concentrating on solid performers in the sector\. • Maintained a diversified portfolio with investment in 8\+ sectors based on market news and carried out investment based on company fundamentals and technical viewpoints on a 60:40 basis • Performed fundamental research on the large and mid\-cap companies in the banking and technology sector as a part of our equity research project\.

Data Science Intern at Innomatics Research Labs, Apr 2021 \- Jul 2021 · 4 mos, New Delhi, Delhi, India, • Led a team of 5 members and designed a personalized Music recommender system based on popularity and collaborative filtering approach\. Implemented SVD and matrix factorization strategy and evaluated model performance\. • Worked on several mini\-projects and case studies \(PUBG Model development\) related to Machine learning\.

Business Analyst at MedTourEasy, Oct 2020 \- Nov 2020 · 2 mos, New Delhi, Delhi, India, Designed and implemented a classification algorithm to identify susceptible medical patients diagnosed with some disease and predicted chances of their recovery after suitable medical dosage using hospital record data\.

## Education

Master of Science \- MS, Financial Engineering, WorldQuant University

Master of Technology \- MTech, Bioprocess Engineering, Indian Institute of Technology, Roorkee

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

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