Mukul Parwani

Co-Founder

Jodhpur, Rajasthan, India3 yrs 1 mo experience

AI EnabledAI ML Practitioner

Key Highlights

Developed an AI-driven analytics platform for retail investors.
Gained hands-on experience in quantitative research and predictive analytics.
Strong foundation in equity markets and data-driven decision-making.

Stackforce AI infers this person is a Fintech professional with a focus on quantitative research and data analytics.

Contact

Skills

Core Skills

Product DevelopmentData ArchitectureEquity ResearchData AnalysisQuantitative ResearchPredictive AnalyticsFrontend DevelopmentWeb Development

Other Skills

AI-driven stock screeningAPI integrationArtificial Intelligence (AI)C++Cascading Style Sheets (CSS)CommunicationComputer ScienceCryptanalysisDatabase Management System (DBMS)DerivativesDerivatives TradingFinancial AnalysisFinancial Market ResearchFinancial MarketsGit

About

Final-year Computer Science Engineering student with a strong interest in quantitative finance, data analytics, and statistical modeling. Recently completed a Quantitative Research internship at CryptoChakra, where I worked on data analysis, feature engineering, market sentiment modeling, and predictive analytics for cryptocurrency and traditional markets. My background includes experience in Python, C++, SQL, data structures & algorithms, and full-stack development through hands-on work at Zarito Data Solutions. Over time, I’ve developed a practical understanding of equity and options markets, combining technical skills with real market experience. Currently building QuantShul — an AI-driven stock screening and analytics platform aimed at simplifying market data for retail investors. Exploring web architecture, analytics models, data pipelines, and early-stage product development. I enjoy working on problems at the intersection of markets, mathematics, and technology, and I’m open to collaborations in quantitative research, financial modeling, and data-driven product development.

Experience

3 yrs 1 mo

Total Experience

1 yr 8 mos

Average Tenure

7 mos

Current Experience

Quantshul

Building QuantShul

Nov 2025 – Present · 7 mos · India · On-site

Building QuantShul, an AI-driven stock screening and analytics platform for retail investors.
Focusing on product vision, feature design, data architecture, and early-stage development.
Key Responsibilities:
Designing core feature set and user flows
Building early prototypes and UI/UX screens
Integrating financial data sources and APIs
Exploring analytics and scoring models
Working on data pipelines and backend structure
Managing branding, website, and product identity

AI-driven stock screeninganalytics platformfeature designdata architectureearly-stage developmentProduct Development+1

Cryptochakra

Quantitative Research Intern

Jun 2025 – Sep 2025 · 3 mos · India · Remote

Worked on quantitative research and predictive analytics for cryptocurrency and market data.
Developed and evaluated machine learning models for price forecasting and sentiment-driven market signals.
Key Contributions:
Data cleaning, feature engineering, and statistical modeling
Sentiment analysis using NLP models (VADER, TextBlob, transformer-based models)
Built predictive models (ML, time-series)
Developed dashboards & visualizations for research reporting
Aligned sentiment data with technical and on-chain metrics

quantitative researchpredictive analyticsdata cleaningfeature engineeringstatistical modelingsentiment analysis+3

Zarito data solutions

Frontend Development Intern – Zarito Data Solutions

May 2024 – Jul 2024 · 2 mos · India · Remote

Worked on the complete frontend structure of the company's main product using modern web technologies.
Learned how to integrate APIs by understanding request/response structures, endpoints, and data handling.
Collaborated with the backend team to understand project workflows and improve technical coordination.
Tech Stack: JavaScript, HTML/CSS, Tailwind CSS.
Gained hands-on experience in debugging, UI implementation, and collaborative development.

frontend developmentJavaScriptHTML/CSSAPI integrationUI implementationFrontend Development+1

Self employed

Independent Equity Market Researcher

May 2023 – Present · 3 yrs 1 mo · India · Remote

Actively analyzing equity markets and making independent investment decisions based on price action and volume trends.
Conducted research on companies using annual reports, technical patterns, and macroeconomic indicators to form long-term and short-term views.
Gained practical experience in interpreting stock market data for data-driven decision-making.
Currently exploring financial data analysis using Python and SQL to support my transition into data analytics and quantitative research roles.
Continuously learning probability, statistics, and foundational concepts in quantitative finance to strengthen my analytical thinking.

equity market analysisinvestment decision-makingfinancial data analysisPythonSQLEquity Research+1