Pulkit Goel

CEO

Stanford, California, United States3 yrs 5 mos experience

Key Highlights

  • Ranked second in Mathematics and Computer Science at IIT Delhi.
  • Experience in advanced statistics and data science applications.
  • Contributed to cancer detection using deep learning techniques.
Stackforce AI infers this person is a Data Scientist with expertise in Healthcare and Financial sectors.

Contact

Skills

Core Skills

Deep LearningStatistical MethodsStatisticsFinanceMathematicsMachine Learning

Other Skills

AlgorithmsAutoencodersBayesian networksC++CNNCalculusData StructuresDifferential EquationsExpectation MaximisationLSTMMultivariate StatisticsProbability TheoryReinforcement LearningSaliency ComputationStochastic Calculus

About

Pulkit is a master's student at Stanford University, pursuing a degree in Computational and Mathematical Engineering (ICME) mainly focusing on advanced statistics and data science using deep learning techniques. He is passionate about solving complex problems with maths and programming, and applying them to real-world scenarios. He has a strong background in quantitative trading, data science, and graph theory, having worked at Goldman Sachs, Adobe, and Inria. He has contributed to multiple projects involving machine learning, Bayesian networks, and algorithms, delivering insights and solutions that enhanced performance and efficiency. He has also collaborated with leading researchers and professionals, gaining valuable experience and skills in academia and industry. Pulkit holds a dual degree in Mathematics and Computer Science from the Indian Institute of Technology (IIT) Delhi, where he ranked second in his department. He is eager to learn new concepts and techniques, and to explore new domains and challenges. He values excellence, innovation, and diversity, and aims to make a positive impact with his work.

Experience

Two sigma

Risk Manager

Jul 2025Present · 8 mos · New York, United States · On-site

  • Risk Management

Stanford university

4 roles

Teaching Assistant

Apr 2025Jun 2025 · 2 mos · On-site

  • Reinforcement Learning

Teaching Assistant

Jun 2024Aug 2024 · 2 mos · On-site

  • Teaching Assistant for Probability and Statistics
Multivariate StatisticsProbability TheoryStatistics

Teaching Assistant

Apr 2024Jun 2024 · 2 mos · On-site

  • Teaching Assistant for Advanced Investment Science
FinanceStochastic ModelingStochastic Calculus

Teaching Assistant

Jan 2024Mar 2024 · 2 mos · On-site

  • Teaching Assistant for Partial Differential Equations for Engineers
CalculusDifferential EquationsMathematics

Stanford department of medicine

Research Assistant

Apr 2024Dec 2024 · 8 mos · United States · On-site

  • Cancer Detection using Statistical Methods like Expectation Maximisation and Deep Learning techniques which involves application of Autoencoders using CNN, LSTM

Goldman sachs

2 roles

Associate

Promoted

Dec 2022Aug 2023 · 8 mos

Analyst

Sep 2021Dec 2022 · 1 yr 3 mos

Open futures group

Quantitative Trader

Oct 2020Aug 2021 · 10 mos

Adobe

2 roles

Intern

Jan 2020Jul 2020 · 6 mos · India

  • I worked in explaining reinforcement learning through saliency computation

Intern

May 2019Jul 2019 · 2 mos · bangalore

  • Worked on Bayesian networks

Inria

Research Intern

May 2018Jul 2018 · 2 mos · France

  • Worked on Random geometric graphs

Education

Stanford University

Master's degree — Computational and Mathematical Engineering

Sep 2023Jun 2025

Indian Institute of Technology, Delhi

Btech and Mtech — Mathematics and Computer Science

Jan 2015Jan 2020

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