Ujjawal Patel

Graduate Information Systems Student · Business Analyst · Forensic Analyst

Welcome! I’m Ujjawal Patel from Mays Business School at Texas A&M.
Blending business, data, and technology for better solutions. Dive in to explore my journey, impactful projects, and a passion for data-driven insights and analytics.

College Station, Texas, USA

About

I am a business-focused technologist with a foundation in computer engineering and cybersecurity. My interests span investment finance, algorithmic trading, quantitative strategies, and business consulting.

Education

Skills

Programming & Data

  • Python
  • Java
  • C
  • SQL
  • HTML
  • CSS

Analytics & Tools

  • MS Excel
  • Power BI
  • PowerPoint
  • Figma
  • Tableau
  • Pine Script
  • Android Studio

Cybersecurity & Tech

  • Kali Linux
  • Wireshark
  • Network Miner
  • Meterpreter

Soft Skills

  • Analytical thinking
  • Logical reasoning
  • Learning agility
  • Collaboration
  • Communication
  • User Story Mapping
  • Competitive analysis
  • Confidence under pressure
  • Decision-making

Featured Projects

Signal Confidence Engine

Signal Confidence Engine is a professional-grade market analytics platform that transforms raw technical indicators into a clear, confidence-driven trading signal. Rather than relying on individual indicators in isolation, the system evaluates trend alignment, momentum strength, volume participation, and price structure across multiple timeframes to produce a single interpretable score. Each score is accompanied by a transparent explanation describing why the signal exists.

Application Link

Sector ETF Analyzer

Developed a finance application using Python/Streamlit to identify sector leadership via comprehensive risk metrics (Sharpe, Alpha) and an integrated Dual-Momentum Backtester.

Application Link

Consolidated Financial Planner

Investment comparison: SIP, bonds, PPF, equities. Python, SQL, Figma.

Research Ideas

Short previews of current research topics. Click a card to read more on the Research page.

Fibonacci Central Pivot Range chart

Fibonacci Central Pivot Range

Range-based pivot framework that fuses CPR geometry with Fibonacci scaling to produce adaptive bands for entries and exits.

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Drifted Bollinger Bands chart

Drifted Bollinger Bands

Multi-filter BB breakout strategy: trade breakouts only with long-term trend (365 EMA) and elevated short-term volatility. Fixed stops, ATR trailing, and per-trade risk control.

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Gap Reversal Capture

Gap Reversal Capture

argets reversal opportunities after significant market-open gaps using gap magnitude, RSI exhaustion and ATR-based adaptive stops to capture directional mean-reversions.

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Explore more research ideas

Experience

Certifications

Databases and SQL for Data Science with Python

IBM via Coursera

View Certificate

Let’s connect!