Skip to content
View Nagendra-071's full-sized avatar
0 followers · 1 following

Block or report Nagendra-071

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Content in all repositories owned by your account will be closed.
Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. This note will only be visible to you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
Nagendra-071/README.md

Hi there, I'm Nagendra Singh 👋

B.Tech Computer Science student at VIT Bhopal University (CGPA: 8.82). Strong foundation in Data Structures & Algorithms, actively expanding my learning across Machine Learning engineering and automation by implementing projects in real-time.

🛠 Tech Stack

  • Languages: C++, Python, Java, SQL, HTML, CSS
  • Machine Learning & Analytics: Scikit-Learn, Pandas, NumPy, XGBoost, Prophet, OpenCV, Matplotlib, Seaborn
  • Cloud & ServiceNow: ServiceNow ITSM, CMDB, ATF, Business Rules, Oracle Cloud Infrastructure (OCI Generative AI Certified)
  • Frameworks & Tools: Streamlit, Flask, Git, GitHub, Jupyter Notebook,Google Collab

📌 Featured Work

📈 Quant Machine Learning Stock Predictor

A 6-week quantitative finance pipeline predicting short-term (next-day) stock price movements on NSE/BSE.

  • Pipeline Architecture: Modular src/ directory structure handling real-time data ingestion (yfinance), technical indicator feature engineering, and CLI/Streamlit UI execution.
  • Leakage-Free ML Modeling: Implemented strict chronological train-test splits with StandardScaler fitted on training data only and XGBClassifier evaluated via Walk-Forward TimeSeriesSplit.
  • Vectorized Backtesting Engine: Built a realistic strategy validator featuring shift-lagged execution (shift(1)), Buy-and-Hold benchmark analysis, Sharpe Ratio calculation, and Max Drawdown metrics.

📊 Stock Price Prediction Tool (Prophet)

Interactive time-series forecasting web dashboard.

  • Optimized API latency by 40% using @st.cache_data caching across 1,000+ yfinance requests[cite: 1].
  • Decomposed weekly/yearly seasonality using Meta's Prophet algorithm for precision forecasting.

🏆 Certifications & Achievements

  • Oracle Certified Professional: Cloud Infrastructure 2025 Generative AI Professional.
  • IIT Kharagpur (NPTEL): Marketing Analytics (Elite + Gold - 90%) | Cloud Computing (Elite - 70%).

📫 Connect With Me

Gmail LinkedIn LeetCode Codolio

Pinned Loading

  1. Console-Resume-Builder Console-Resume-Builder Public

    A crash-resilient C++ command-line application built with CMake to create, validate, and export structured Markdown resumes.

    C++ 1

  2. python-learning python-learning Public

    Simple python projects for learning

    Jupyter Notebook 1

  3. quant-ml-stock-trend-predictor quant-ml-stock-trend-predictor Public

    A machine learning pipeline for BSE/NSE stock data processing and next day trend prediction.

    Jupyter Notebook 1

  4. stock-forecaster-and-visualization-dashboard stock-forecaster-and-visualization-dashboard Public

    📈 An interactive AI stock dashboard built with Streamlit and Meta Prophet. Visualizes historical trends and forecasts stock prices up to 5 years for global and Indian markets (NSE/BSE).

    Python 1

  5. study-sync-project study-sync-project Public

    HTML 1

  6. agro-carbon-engine agro-carbon-engine Public

    Dual-engine ML and biophysical platform predicting crop viability from soil data and quantifying annual carbon sequestration yield with financial credit valuation.

    Jupyter Notebook