Harsh Prasad Singh
Global Rank 59 (AIR 9) Google Kickstart | ACM ICPC Regionalist | Microsoft Engage ’22 | Codeforces - Expert
- Role
- Business Technology Solutions Associate at ZS
- Location
- New Delhi, DL, IN
- LinkedIn followers
- 500 followers
About Harsh Prasad Singh
Currently working at ZS to deliver industry-leading spotless IC solutions for a large-scale US-based pharma client, I contribute to building scalable data pipelines and managing end-to-end processes for incentive compensation across multiple business units. My role involves working closely with cross-functional teams to ensure smooth extraction, processing, and reporting of customer product representative-level data.At ZS, I have developed and optimized data workflows, automated extract generation, and queries on large-scale databases such as Snowflake, significantly improving operational efficiency. I also collaborate with downstream teams to deliver accurate datasets that drive business decisions for global operations.Previously, I have interned as a Backend Developer at FreJun, where I mainly worked on CRM integration, API authentication, and endpoint optimization.Alongside my professional experience, I have a strong background in problem-solving and competitive programming, achieving top global ranks in contests such as Google Kickstart, Meta Hacker Cup, ICPC regionals.
Experience
Business Technology Solutions Associate
Jul 2024 — Present · Gurugram, IN
Working as a part of Pfizer IC(Incentive Compensation) team which uses Data Engineering and Data Analytical workstreams to generate reports for Incentive Compensation for Pfizer representatives- Implementing automation solutions across core workflows to streamline operations, cut manual tasks, and enhance performance- Manage the extraction and processing of Customer Product Representative-level alignments from PfizerAlign on a quarterly, trimester, and semester basis for use across various Business Units- Oversee bi-weekly operations to generate incentive compensation extracts for various business units- Developed data pipeline for contest system to download, retrieve, process data, and generate extracts to be used by the downstream team- Developed query to retrieve data from remote CDW database on Snowflake, utilizing shell scripts to establish remote database connections and fetch data.
Education
Maharaja Agrasen Institute Of Technology, Delhi
Bachelor of Technology - BTech, Computer Science and Engineering
2020 — 2024
Find verified contacts for anyone on LinkedIn
Unifers gives sales teams verified emails and direct dials, enriched profiles, and outreach that lands in the inbox.
Free plan included · No credit card required
This profile is compiled from publicly available professional sources. Unifers is not affiliated with or endorsed by LinkedIn. Request removal of this profile.