Sarvesh Lanke

Business Analyst

Mumbai, Maharashtra, India3 yrs 1 mo experience

Most Likely To Switch

Key Highlights

Expert in Quantitative Research and Trading Strategies
Proficient in Computational Geometry and Mixed Integer Programming
Strong background in SEO and distributed storage applications

Stackforce AI infers this person is a Quantitative Researcher with expertise in SaaS and Fintech.

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Skills

Core Skills

Quantitative ResearchTrading StrategiesDistributed StorageComputational GeometryGurobiC++Search Engine Optimization (seo)

Other Skills

BashCTR AnalysisData CollectionEquity TradingGitKeyword RankingMatplotlibMixed Integer Linear ProgrammingNumPyOpen-source DevelopmentPythonSPDKSQLStatistical ResearchTrading Systems

Experience

3 yrs 1 mo

Total Experience

1 yr

Average Tenure

2 yrs 5 mos

Current Experience

Nomura

Quantitative Researcher

Jan 2024 – Present · 2 yrs 5 mos

Developing mid-frequency hedged alphas

Data CollectionQuantitative ResearchTrading Strategies

Nutanix

Intern, Member of Technical Staff

Aug 2023 – Dec 2023 · 4 mos · Bengaluru, Karnataka, India

Worked on building distributed storage applications using SPDK, an open-source, high-performance storage library.
Contributed core functionality and tests to the open-sourced repository SPDK v24.01.

Distributed StorageSPDKOpen-source Development

Bits pilani, hyderabad campus

2 roles

Teaching Assistant

Jan 2023 – May 2023 · 4 mos

Assisted in teaching and evaluation of the course MGTS F211: Principles of Management

Undergraduate Researcher

Aug 2022 – Dec 2022 · 4 mos

Computational Geometry
Under the supervision of Dr. Manjanna B:
i. Implemented the Facility Location Problem as a Mixed Integer Linear Programming(ILP) problem in Gurobi.
Tech stack used: Python, Gurobi API, NumPy, Matplotlib.
ii. Processing Widget Design into a Robust Tree-Structure using Plane Sweep
Implemented the sweep line algorithm to find widgets and represent them as nodes in a tree data structure which captures the encompassing relationship between the elements.
Tech stack used: C++

Computational GeometryMixed Integer Linear ProgrammingGurobiPythonC++