Sanket Goyal

Co-Founder

Gurugram, Haryana, India6 yrs 6 mos experience

AI ML PractitionerHighly Stable

Key Highlights

Cofounder and CEO of AI application company.
Developed advanced trading strategies with significant alpha.
Achieved 98.8% accuracy in predictive modeling.

Stackforce AI infers this person is a Fintech and AI applications expert with strong quantitative analysis skills.

Contact

Skills

Core Skills

EntrepreneurshipAi ApplicationsProduct ManagementProduct StructuringQuantitative FinanceQuantitative ResearchData AnalysisElectrical Engineering

Other Skills

Alpha GenerationBacktestingBitscaleCC (Programming Language)C++Data ScienceDerivativesKDBKDB+Logistic RegressionMATLABMachine LearningMatlabMicrosoft Excel

About

Building AI applications

Experience

Bitscale

Cofounder and CEO

Apr 2024 – Present · 1 yr 11 mos · San Francisco Bay Area · On-site

Personalised outbounds at scale

bitscale.aiBitscaleEntrepreneurshipAI Applications

Pavilion

Executive member

Mar 2023 – Present · 3 yrs

Revgenius

Member

Mar 2022 – Present · 4 yrs

Citymall

Product Manager

Jan 2022 – Apr 2023 · 1 yr 3 mos · Gurugram, Haryana, India · On-site

Product Management

Hsbc

2 roles

Sr. Associate

Promoted

Feb 2021 – Dec 2021 · 10 mos

Product Structuring

Product Structuring

Analyst

Jul 2019 – Jan 2021 · 1 yr 6 mos

Equity Derivative Structuring
Quantitative Investment Strategies

Quantitative Finance

Huawei

Intern

May 2019 – May 2019 · 0 mo · Shenzhen, Guangdong, China

Represented India in the Seeds for the Future program of Huwaei for undergraduates from across the world
Was introduced to the cutting edge, State Of The Art 5G technology in industry and it's applications in the field of communications, industry 4.0 and automation
Learned the Chinese language and Culture from the Beijing Language and Culture University

Edelweiss financial services

Quantitative Researcher Intern

May 2018 – Jul 2018 · 2 mos · Mumbai Metropolitan Region

Insider Trading
Read comprehensively about Insider Trading to gain insights about how Insider Trades impact stock market
Developed a framework in R to generate appropriate factor tables from NSE, BSE Insider Trading data
Developed a back-tester in R to measure the performance of trading strategies with above factors as input
Implemented various directional and dollar neutral based long-short strategies on the back-tester
Performance of the strategies were impressive as they delivered significant alpha and Sharpe ratio for 5 years
Supply Chain Alpha
After research and Ideation, developed a SQL framework to extract the complex supply chain relationship data
Coded R framework to generate trading signals from the data which is eventually used for back-testing

RSQLQuantitative Research

Ntpc

Summer Research Intern

May 2017 – Jul 2017 · 2 mos · IIT Kanpur

Objective
To minimize Inrush current of the transformers during connecting to the grid
Approach
Studied methods to minimize inrush current of the transformers during connecting of Grid Tied Solar PV Plant
Performed MATLAB simulations to calculate desired closing time of circuit breaker for minimum inrush current
Used supervised machine learning & artificial neural networks for predicting time delay in SF-6 circuit breakers
Used Real Time Digital System Power Simulator (RTDS) script programming to collect data for machine learning
Impact
Achieved an accuracy of 98.8% in predicting time delay in opening of the circuit breaker

MATLABMachine LearningElectrical Engineering