Hi, I'mVimal Dhama
I blend advanced mathematics, artificial intelligence, machine learning, and full-stack engineering to turn complex ideas into real-world tools.
About Me
I'm a BTech graduate in Artificial Intelligence & Machine Learning with proven expertise as a Quantitative Analyst, Data Scientist, and AI/ML Engineer. My work lives at the intersection of quantitative finance, advanced analytics, and intelligent automation: I build algorithmic trading platforms, predictive models, and AI-driven solutions that deliver measurable impact.
I specialize in applying rigorous quantitative methods—portfolio optimization, Monte Carlo simulations, options pricing, and risk modeling—combined with cutting-edge AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn) to solve complex problems in finance and technology. My work consistently improves forecasting accuracy, optimizes portfolios, and empowers data-driven decision-making.
Today, I work primarily with Python, R, SQL, and modern web technologies. My focus spans algorithmic trading, time-series forecasting, deep learning applications, and real-time data analytics. Whether in quantitative finance or AI engineering, my goal is the same: to engineer solutions that are both mathematically sound and practically impactful.
My Skills
Featured Projects
ECG Arrhythmia Detector
A real-time ECG monitoring application that streams live cardiac data and performs intelligent arrhythmia detection using advanced signal processing algorithms. Tracks PVC burden, detects patterns like bigeminy and trigeminy, and supports session-based analysis with planned alarm functionality for high-risk events.
Cardinality-Constrained Portfolio Selection
A research-style project that solves the mean-variance portfolio optimization problem with a cardinality constraint using integer programming. This model captures the real-world need to limit the number of assets in a portfolio, introducing combinatorial complexity and paving the way for quantum-inspired methods.
SOLUSDT signal bot
A custom algorithmic trading system for Solana using custom signals, enhanced with BTCUSDT price context for confirmation. The strategy includes dynamic stop-loss, ATR-based take-profit, slippage modeling, and realistic funding/fee handling. Backtested on 5-minute candles with live simulation support. It has been deployed live and generated consistent profit in high freq trading environments.
BlockFinAI
BlockFinAI is an advanced application designed for detecting patterns in stock and cryptocurrency charts using deep learning techniques. Inspired by the YOLO Object Recognition Algorithm research, this project implements YOLOv8 and integrates it into a user-friendly Streamlit app. BlockFinAI automates chart pattern recognition to empower traders and analysts.
Ruaroa AI
Ruaroa AI is your personal ML wizard that conjures complete machine learning pipelines from simple natural language descriptions. Just describe what you want, upload your data, and watch the magic happen! Using advanced AI reasoning and iterative experimentation, it crafts production-ready solutions that would typically require weeks of expert development.
AlgoStockGPT AI
AlgoStockGPT AI is a cutting-edge financial intelligence platform that leverages the power of artificial intelligence to provide comprehensive stock analysis, real-time market insights, and algorithmic trading strategies. Your personal AI financial analyst, providing institutional-grade stock analysis and market intelligence through a seamless, conversational interface.
QuantumTrade Nexus
Advanced Trading Intelligence Platform - Comprehensive financial analysis toolkit with 15+ technical indicators, algorithmic strategies, and real-time market intelligence. Features include market scanner, custom signals, advanced trading tools, and trading strategies with backtesting capabilities. Supports multiple data sources including Yahoo Finance and online APIs.
The Grind
The society that separates its scholars from its warriors will have its thinking done by cowards and its fighting by fools.— Thucydides
Work Experience
Independent Trader
Engineered quantitative trading strategies across equities, derivatives, and forex, consistently achieving positive risk-adjusted returns. Developed proprietary AI trading bots, enhancing execution speed and strategy accuracy in volatile conditions. Applied macroeconomic & microeconomic research to capture high-value trading opportunities. Implemented risk frameworks and portfolio optimization models to balance exposure and maximize returns.
Data Analyst
Designed predictive models, dashboards, and automation pipelines using Python, SQL, and Tableau. Delivered actionable insights that supported growth in renewable energy and eCommerce sectors. Reduced reporting turnaround by 30%, minimizing errors and empowering data-driven decision-making.
Quantitative Analyst
Increased financial forecast accuracy by 15% using ML-driven time-series models. Applied Monte Carlo simulations to evaluate volatility and optimize risk-adjusted strategies. Automated financial analysis workflows in Python & Excel, improving reporting efficiency by 20%.
Tech Lead & Coordinator
Organized workshops for over 150+ students and represented the club at Founder's Day with 60 founders. Led technical initiatives and coordinated club activities.