Himanshu Vadera — Operations Associate
Experienced professional with expertise in financial data engineering, analytics, and quant-based signal development. Proficient in Python, SQL, and Databricks to build scalable ETL pipelines, automate workflows, and prepare research-ready datasets for US and India markets. Skilled at applying statistical techniques to transform raw data into actionable insights and support quant research through backtesting frameworks and alpha generation. Passionate about designing efficient, reliable platforms that drive strategic, data-informed decision-making. Alumnus of IIT Madras with an integrated dual degree in Mechanical Engineering.
Stackforce AI infers this person is a Fintech data engineer with expertise in quantitative analysis and financial modeling.
Location: Bengaluru, Karnataka, India
Experience: 6 yrs 9 mos
Career Highlights
- Expert in financial data engineering and analytics.
- Proficient in Python, SQL, and Databricks for ETL pipelines.
- Strong background in quantitative analysis and signal development.
Work Experience
Undisclosed
Quantitative Associate (2 yrs 11 mos)
Senior Quantitative Analyst (1 yr 11 mos)
Quantitative Analyst (1 yr 11 mos)
Education
Integrated B.Tech+M.Tech. at Indian Institute of Technology, Madras
