Vedic Partap

CEO

Gurugram, Haryana, India6 yrs 9 mos experience
Highly Stable

Key Highlights

  • Expert in Machine Learning and Quantitative Analysis
  • Proven track record in optimizing financial risk engines
  • Strong foundation in programming and data science
Stackforce AI infers this person is a Fintech professional with strong expertise in quantitative analysis and machine learning.

Contact

Skills

Core Skills

C++Python (programming Language)Machine LearningNlp

Other Skills

AlgorithmsBashChemistryCompetative ProgrammingData AnalysisData ScienceGitGithubJavaScriptLinear AlgebraLinuxMathematicsMicrosoft Azure Machine LearningMicrosoft OfficeOpenCV

About

https://vedicpartap.com/

Experience

Graviton research capital llp

Manager - Quant Risk

Dec 2023Present · 2 yrs 3 mos · Gurugram, Haryana, India · On-site

Goldman sachs

3 roles

Quantitative Strategist - Associate

Jan 2023Jan 2024 · 1 yr · Bengaluru, Karnataka, India

C++Python (Programming Language)

Quantitative Strategist - Analyst

Aug 2020Jan 2023 · 2 yrs 5 mos · Bengaluru, Karnataka, India

  • Quantitative Strategist function for Global Mortgages Business

Summer Analyst

May 2019Jul 2019 · 2 mos · Bangalore

  • Team: Ficcs Ion Strats Division: Securities
  • 1. Responsible for outlining the machine learning-based bucketing strategy for distribution of securities to the servers in the risk engine
  • 2. Conducted data regression analyses of the relationship between the financial features of the securities and its pricing computation time.
  • 3. Introduced diagnostic tables, graphs and statistical tests to explain and inference various machine learning models
  • 4. Improved the current risk engine runtime from the order of minutes to second by integrating the framework

Indian institute of science (iisc)

Research Intern

Dec 2018Jan 2019 · 1 mo · Bengaluru, Karnataka, India

  • Intern at MALL Lab
  • Advised by: Prof. Partha Talukdar
  • Collaboration: Shell Technology Centre Bengaluru
  • 1. Devised a Multitask Crystal Convolutional Network for crystal embedding’s for the prediction of chemical properties of the materials.
  • 2. Collaborated in the development of Reinforcement Learning method for predicting energy-efficient solid electrolyte

Active.ai

NLP Research Intern

May 2018Jul 2018 · 2 mos · Bengaluru, Karnataka, India

  • 1. Advanced the language generation model by improving the hypergraph construction of the semantic relational pairs using spaCy
  • 2. Incorporated the context in the prediction of the next most plausible sentence by doing hierarchical topic modelling of the dialog history
  • 3. Demonstrated the improvements by designing an evaluation metrics based on the contextual similarity between predictions and input

Swarm robotics iit kharagpur

Software Team Member

Mar 2017May 2018 · 1 yr 2 mos · Kharagpur I, India

  • http://swarm-iitkgp.github.io/
  • The software team is responsible for designing and implementing the algorithms and distributed intelligence to be used by the swarm robots for performing the task. They are also involved in simulating the algorithms and other operations for testing, verification and visualization purposes

Education

Indian Institute of Technology, Kharagpur

Bachelor of Technology - BTech — Computer Science

Jan 2016Jan 2020

O.S.D.A.V. Public School

Science

Jan 2001Jan 2016

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