Rohit Agrawal

Associate Consultant

Bhopal, Madhya Pradesh, India0 mo experience

Key Highlights

Developed advanced trading strategies using machine learning.
Hands-on experience with real-world financial data.
Strong foundation in mathematics and statistics.

Stackforce AI infers this person is a Fintech professional with expertise in quantitative finance and machine learning.

Contact

Skills

Core Skills

Machine LearningTime Series Analysis

Other Skills

ARIMAAnalytical SkillsBacktestingBig Data AnalyticsC++Computer ScienceData ScienceDatabase DevelopmentDerivativesEquity DerivativesEquity TradingFinanceFinancial MarketsFinancial ModelingFutures and Options (F&O)

About

I’m Rohit Agrawal, a third-year undergraduate at IIT Ropar, majoring in Mathematics and Computing, with a strong passion for quantitative finance and data-driven decision-making. My academic and project experience has centered around applying machine learning, time-series forecasting, and algorithmic trading techniques to solve complex financial problems. I've built and backtested multi-asset trading strategies using Python and Backtrader, developed predictive models for stock prices using SARIMA and Random Forest, and worked on real-world financial data during my internship at SSR FinTech. There, I applied advanced forecasting techniques including ARIMA, LSTM, and XGBoost to create a robust sales prediction model. My interest in finance is grounded in a solid foundation of mathematics, statistics, and computing, and complemented by hands-on experience with tools like Pandas, NumPy, and Matplotlib, and concepts like explainable AI and model interpretability. Let’s connect to discuss opportunities, collaborations, or insights at the intersection of finance, data, and technology.

Experience

Quantinsti

Quantitative Researcher Intern

Jul 2025 – Present · 8 mos · Mumbai, Maharashtra, India · Hybrid

Ssr fintech solutions private limited

Machine Learning Engineer

Nov 2024 – Jan 2025 · 2 mos · Bengaluru, Karnataka, India · Hybrid

As an AI/ML Intern at SSR FinTech, I developed a robust sales prediction model using advanced time series forecasting techniques including ARIMA, SARIMA, LSTM, and XGBoost. This role enhanced my expertise in time-series analysis, machine learning, and applying predictive models to real-world financial data for improved business decision-making.

ARIMASARIMALSTMXGBoosttime series forecastingmachine learning+3

National chung cheng university

Research Intern

May 2024 – Jul 2024 · 2 mos · Taiwan · On-site

Key responsibilities and achievements:
Conducting in-depth research on the latest advancements in explainable AI to identify effective methodologies for improving AI interpretability.
Designing and developing an AI model that facilitates seamless interaction between humans and AI systems, ensuring that AI-driven decisions are easily interpretable and actionable.
Collaborating with a multidisciplinary team to integrate explainability features into existing AI frameworks, aiming to boost user trust and adoption of AI technologies.
Presenting research findings and progress reports to senior researchers and stakeholders, contributing to the center's mission of promoting sustainable AI development.

Indian institute of technology, ropar

Hostel Representative

Oct 2022 – Dec 2023 · 1 yr 2 mos

Addressing resident concerns promptly and effectively, fostering a harmonious community.
Organizing hostel events and activities to promote social interaction and a sense of belonging.
Collaborating with hostel staff to maintain cleanliness, safety, and compliance with rules and regulations.
Communicating important information to residents regarding hostel policies, events, and maintenance schedules.