Ranjana Kasangeri

Product Engineer

Berkeley, California, United States3 yrs 9 mos experience

Key Highlights

  • Experienced in developing ML pipelines for financial strategies.
  • Strong background in quantitative research and data analysis.
  • Proficient in algorithms and risk management strategies.
Stackforce AI infers this person is a Fintech Quantitative Analyst with expertise in Machine Learning and Data Analysis.

Contact

Skills

Core Skills

Machine LearningData Analysis

Other Skills

AlgorithmsBacktestingBlockchainC++Computer ArchitectureCryptographyDiscrete MathematicsJavaLeadershipMicrosoft OfficeNetwork SecurityOperating SystemsPublic SpeakingTeamworkWeb Development

Experience

Polymer capital

Quantitative Research Intern

Oct 2025Jan 2026 · 3 mos · New York, United States

  • Systematic Quant Investments team
  • Stock peers and clusters based signal research, Equity LS strategies, macro and event strategy backtesting, E2E ML pipeline for signal generation
Machine LearningData AnalysisAlgorithms

Goldman sachs

2 roles

Quantitative Strategist

Promoted

Jan 2024Mar 2025 · 1 yr 2 mos · Bengaluru, Karnataka, India

  • Market Risk Strats (Equity Asset Class) - Risk Division

Quantitative Risk Analyst

Apr 2022Jan 2024 · 1 yr 9 mos · Bengaluru, Karnataka, India

Qualcomm

2 roles

Associate Engineer

Jun 2021Apr 2022 · 10 mos · Hyderabad, Telangana, India

Interim Engineering Intern

May 2020Jul 2020 · 2 mos

Quantify capital

Quant Research Associate

Apr 2020Jun 2020 · 2 mos

Truebil

Intern

Dec 2019Jan 2020 · 1 mo

National institute of technology karnataka

Research Intern

May 2019Jul 2019 · 2 mos

Education

University of California, Berkeley

Master's degree — Financial Engineering

Indian Institute of Technology, Bombay

Bachelor of Technology (with Honors) — Computer Science and Engineering

University of California, Berkeley, Haas School of Business

Master's degree — Financial Engineering

Mar 2025Mar 2026

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