Shubham Shiv Joshi

AI Researcher

Gurugram, Haryana, India3 yrs 1 mo experience

AI EnabledAI ML Practitioner

Key Highlights

Expert in Quantitative Research and Machine Learning.
Strong leadership experience managing diverse teams.
Proven track record in developing data-driven projects.

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

Contact

Skills

Core Skills

Quantitative ResearchAlgorithmic TradingMachine LearningQuantitative FinanceArtificial Neural NetworksBacktestingLeadershipManagementData ScienceData MonetizationProduct Management

Other Skills

AlgorithmsArtificial Intelligence (AI)BankingCommunicationData AnalysisData CollectionData StructuresDeep LearningEnglishExpress.jsFinanceFlaskGitGit BASHLinear Regression

About

Hi, I am Shubham Shiv Joshi, I completed my B.Tech from IIT Kanpur and I am currently working in the field of Quantitative Research. In my 8th grade I developed a huge passion and an undying curiosity to know about working of operating systems, which eventually led me to take up engineering with an interest in computers. I took admission at IIT Kanpur at which I was introduced to the field of Quantitative Finance which led me to an internship in a quant role and since then I have been working in this field. I am an experienced quantitative researcher with hands on expertise of Machine Learning, Data Science, Mathematics, Statistics, Algorithmic Trading, and Finance. I like to indulge myself with intricate problems across the domain. I have a research driven mindset which gives me the ability to understand things in depth while dealing with complexities. I have also inculcated in me the skills of management, leadership and communication by working at a diverse range of club and societies at IIT Kanpur. Apart from all, I am very fond of speedcubing, gaming, mimicry and swimming.

Experience

3 yrs 1 mo

Total Experience

11 mos

Average Tenure

1 yr

Current Experience

Algoedge

Quantitative Researcher

Jun 2025 – Present · 1 yr · Gurugram, Haryana, India · On-site

Algorithmic TradingMachine LearningQuantitative ResearchMathematicsStatisticsStatistical Data Analysis+3

Papertown capital

Quantitative Researcher

May 2024 – Jun 2025 · 1 yr 1 mo · Gurugram, Haryana, India · Remote

Quantitative ResearchMathematicsMachine LearningMachine Learning AlgorithmsQuantitative FinancePython (Programming Language)

Futures first

Quantitative Research Intern

May 2023 – Jul 2023 · 2 mos · Gurugram, Haryana, India · Remote

Agenda
To understand the intricate relationship of economic indicators and its impact on monetary and fiscal policies
Apply quantitative methods to understand key interest rate models:Vasicek, CIR, HJM and Hull-White
Approach
Analyzed Eurodollar yield curve shifts using matplotlib to gauge market sentiment during economic changes
Conducted rigorous backtesting on these models using curve fitting with numpy, pandas and matplotlib
Incorporated neural networks to capture non-linear patterns for improved signal generation through models
Result
Evaluated model-generated forward curves to assess each model’s replication of actual interest rates behavior

Quantitative FinanceArtificial Neural NetworksFinanceMathematicsStatisticsStatistical Data Analysis+6

Hall 2 iit kanpur

Cultural Chairman Hall ll

Aug 2022 – Apr 2023 · 8 mos · Kanpur, Uttar Pradesh, India

LeadershipManagementTeamwork

Students' gymkhana, iit kanpur

Coordinator, Speedcubing Club

May 2022 – May 2023 · 1 yr · Kanpur, Uttar Pradesh, India

Spearheading a team 20+ members to conduct club activities throughout the year
Representing the Institute Speedcubing Club and managing a budget of Rs. 40,000/- for the tenure
Led a team to develop the Club’s website and supervised content creation team
Delivered a live project RubiBot, through which overall reach of the club increased to 60%

LeadershipProblem SolvingManagementResearch and Development (R&D)Algorithms

Indian institute of technology, kanpur

SURGE Research Internship

May 2022 – Jul 2022 · 2 mos · Kanpur, Uttar Pradesh, India

Topic : Analysing Properties of Vertically Aligned Nanocomposites using Machine Learning
∗ Performed quantitative analysis on 60+ Research papers to create a database of relevant properties
∗ Implemented Pearson’s Correlation Matrix and Feature Selection methods to create prediction based ML model
∗ Used Numpy, Matplotlib and Pandas libraries of Python to study the relationship of various data.

NumPyData AnalysisMathematicsStatisticsData ScienceMatplotlib+6

Urvija ai

Data Monetisation

May 2021 – Jul 2021 · 2 mos

Product Management Team
Understanding the use of data, generating new possibilities by understanding the matrix of data procurement and analysis of various concepts based on Data Monetisation.
Developed Business Requirement Document (BRD) by deeply studying and analysis .This BRD was the initial document for the development of a product which was made through data analysis and was able to provide predictions based on the information gained.
After the BRD, a Product Requirement Document (PRD) was developed which covered the overall structure of the product.

Data CollectionManagementSales ManagementData MonetizationProduct Management