Sanjeev Koti

Quantitative Data Analyst

Bangalore, India 3+ yrs exp 87 · Excellent

About

Quantitative Data Analyst with an MSc in Mathematics and 3.5+ years of experience architecting scalable Python pipelines and automated ETL workflows for the commodities and marketing sectors. Expert at modernizing legacy architectures and transforming complex datasets into executive-level insights to drive operational efficiency. Passionate about applying rigorous mathematical modeling to drive product innovation in a Data Science capacity.

Skills & Expertise (15)

Python Advanced

8.5/10

3.5

Years Exp

SQL Advanced

8.0/10

3.5

Years Exp

Selenium Intermediate

7.5/10

Years Exp

BeautifulSoup Intermediate

7.0/10

Years Exp

Machine Learning Intermediate

6.5/10

3.5

Years Exp

PySpark Intermediate

5.5/10

Years Exp

MATLAB Intermediate

5.0/10

Years Exp

Snowflake Intermediate

5.0/10

Years Exp

Databricks Intermediate

5.0/10

Years Exp

SSMS Intermediate

5.0/10

Years Exp

Alteryx Intermediate

5.0/10

Years Exp

Tableau Intermediate

5.0/10

Years Exp

HTML CSS PowerBI

Work Experience

Data Analyst, Specialist

S&P Global @Enterprise Data Organisation

Sep 2023 - Present

Maintained the integrity of high-stakes SQL server databases in the agribusiness team for 22k+ commodities and associated contracts, ensuring the accuracy of benchmark data used by global customers for contract valuation and price monitoring. Automated data ingestion workflows to a client-facing platform by integrating internal OData APIs with Python, eliminating 15 hours of manual data handling per week and ensuring real-time data availability for global stakeholders. Developed interactive PowerBi dashboards for the CTO and senior leadership to govern $3.4M in annual third-party document expenditure, identifying cost-saving opportunities across multiple domains. Architected and deployed scalable ETL pipelines using Python to aggregate structured data from diverse sources (APIs, government portals, and vendors), improving data availability for downstream analytics by 90%. Partnered with global non-technical Subject Matter Experts (SMEs) in Crop Science and Livestock to engineer customized data solutions that accelerated source-to-dashboard delivery by 75%, bridging the gap between domain expertise and technical implementation. Spearheaded the migration of legacy analytics workflows from Alteryx to ADW, optimizing computational efficiency and reducing enterprise software licensing costs by 85% and improving data processing speeds by 4x.

Data Analyst

HiveMinds Digital Marketing

Dec 2022 - May 2023

Engineered automated web scrapers using Selenium and BeautifulSoup to aggregate real-time product metrics from diverse marketplaces, streamlining competitive intelligence reporting. Optimized digital marketing performance by analyzing complex customer journeys via SQL, directly influencing strategy for high-profile clients. Designed and deployed interactive Power BI dashboards to visualize critical KPIs (CTR, CPC, ROAS, AOV), facilitating data-driven decision-making for executive client pitches.