Nitin Girdhar

📞 +91 9027580024 | ✉ nitingirdhar.career@gmail.com | LinkedIn | Github

Education

• Dr. A.P.J Abdual Kalam Technical University (2022 - 2024)

  • Master of Computer Application
  • CGPA: 7/10

• Chaudhary Charan Singh University (2019 - 2022)

  • Bachelor of Commerce
  • CGPA: 7/10

Work Experience

• Open Bootcamp (Nov 2023 – Dec 2023)
  • Software Development Intern (Remote)
    • Enhanced full-stack web development skills on real-world project using MERN stack technologies.
    • Assisted in the implementation of backend functionalities, including database management and API integration to support frontend features.

Projects

• Rock Vs Mine Prediction (GitHub Repository)

  • Developed a Machine Learning Model to predict whether sonar signals represent rock or mine in a submarine environment.
  • Acquired and preprocessed data from UCI Repository, implementing data cleaning and feature engineering techniques.
  • Utilized Logistic Regression as the machine learning algorithm due to its effectiveness in binary classification tasks.
  • Created a user-friendly and interpretable dashboard using Python and libraries such as NumPy, Pandas, and Matplotlib.

• Investigating Netflix Movies (GitHub Repository)

  • Conducted EDA on a Netflix movies dataset to investigate trends in movie duration over time.
  • Utilized Python for data analysis and visualization.
  • Hypothesized and tested the claim that movies are getting shorter.
  • Technologies Used: Python, Jupyter Notebook, pandas, matplotlib

• Enriching Stock Market Data using the OpenAI API (GitHub Repository)

  • Developed a Python application to enrich and summarize stock market data for the NASDAQ 100 index using OpenAI’s API.
  • Collected and preprocessed historical stock market data, including stock symbols, prices, and volumes.
  • Analyzed stock performance metrics and identified the best-performing stocks based on predefined criteria.
  • Technologies Used: Python, OpenAI API, Pandas, Data Visualization (Matplotlib).

Skills

• Programming Languages: Python (NumPy, pandas, scikit-learn), C++, SQL
• Data Analysis and Visualization Tools: Tableau, matplotlib
• Statistical Analysis: Hypothesis testing, Regression analysis, Time series analysis
• Software Development: Git, Docker, Agile methodologies
• Machine Learning Frameworks: TensorFlow, PyTorch, scikit-learn
• Data Cleaning and Preprocessing
• Deployment Pipelines
• Strong mathematical and statistical skills

Certification

• SQL Basic Certification: HackerRank
• JP Morgan Software Engineering Virtual Experience: Forage