GYANESH SINGH

PGDM Finance | Data Analyst | Tech Driven Strategist

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About Me

I’m a PGDM Finance student who lives at the crossroads of markets and machines. As a data analyst, I don’t just crunch numbers—I uncover the signals that steer strategy. My work in prompt engineering hones AI into a precision tool, amplifying how teams tackle complex problems.

At heart, I’m a tech-driven strategist: I build systems that transform raw data into clear decisions. Here’s the thing: I don’t wait for insights to find me—I design the pipelines that deliver them.

#Data moves market and i move data

Why Me

📊 Data-First Mindset
🤖 Automation Smarts
AI-Driven Edge
🧩 Systems Thinking
🔗 Finance + Tech Hybrid

Internships

Finance Veda | Financial Modelling Intern | New Delhi | Apr 2025 – Jun 2025

Friends N Smile (SSO) | Volunteer Teacher | Gr. Noida | Jan 2025

Projects

🤖
Machine Learning for Fintech Growth

Applied predictive analytics and ML models to boost customer acquisition and financial performance for fintech startups.
Tools: Python, Scikit-learn

Bitcoin Price Prediction (Probabilistic Deep Learning)

Developed ARIMA, GARCH, and Bayesian neural networks to forecast Bitcoin prices and model volatility, using 10 years of macroeconomic data.
Tools: R, Python, Financial Econometrics

📊
Infosys: Financial Analysis & AI Stock Forecasting

Led comprehensive analysis of Infosys using ratio analysis, trend charts, and built LSTM models for stock price forecasting.
Tools: Python, Pandas, Keras

🏋️‍♂️
Gym Data Analysis & Personalization

Explored and visualized gym workout data (EDA) to reveal user trends and inform individualized fitness plans.
Tools: Python, Pandas, Matplotlib

🌾
BI Dashboard: Crop Yield & Land Suitability

Built a business intelligence dashboard to analyze crop yields across regions and recommend best-fit crops.
Tools: Power BI, Excel

💼
Sonata Software: Fundamental Analysis

Performed full financial health check using DCF, ratio analysis, and forecasting to assess business value.
Tools: Excel, Finance Modelling

Research Papers

Human-AI Synergy in Equity Research: Balancing Automated Analysis and Decision-Making Gyanesh Singh | FIIB | 2024–26
  • Abstract: Study of how human judgment and AI tools combine to make equity research faster, but still require human insight for accuracy.
  • Cases: Adobe, Trident, Sonata Software
Market Cap–Driven Dynamics: Cryptocurrency Price Predictions—A Deep Learning Perspective Gyanesh Singh, Sudhi Sharma, Utkarsh Anand, Jasmeet Singh | FIIB
  • Abstract: Compared ARIMA vs. LSTM neural networks for predicting price/returns of BTC, ETH, BNB, SOL, XRP.

Tools

Excel
PythonPython
ChatGPT
CanvaCanva
SQLSQL
Power BI
Microsoft 365
HTML5HTML5
CSS3CSS3
GitHubGitHub

Skills

Data Analysis Financial Modeling & Valuation Business Intelligence Research & Report Writing Problem Solving Project Management Prompt Engineering (AI/LLM) Presentation & Infographic Design Communication

Contact