Harsh Vardhan Shalihotri profile photo 1 on Tal

Harsh Vardhan Shalihotri

AI | Blend | IIT Roorkee | DTU

Hyderabad

5+ years of work experience

Blend
May 20242 yrs 5 mosPresent

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.
Blend
Aug 20221 yr 10 mosMay 2024

Hyderabad, Telangana, India

Indian Institute of Technology, Roorkee
Oct 20211 yrSep 2022

Roorkee, Uttarakhand, India

Finlatics
Jul 20213 mosSep 2021

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.
Innomatics Research Labs
Apr 20214 mosJul 2021

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.
MedTourEasy
Oct 20202 mosNov 2020

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.

Harsh’s AI Stack

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anthropic apis
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claude code
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codex
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hugging face
hugging face
mcp
mcp

Education

WorldQuant University

Master of Science - MS, Financial Engineering

WorldQuant University

Indian Institute of Technology, Roorkee

Master of Technology - MTech, Bioprocess Engineering

Indian Institute of Technology, Roorkee

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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