Nitin Girdhar

📞 +91 9027580024

✉ nitingirdhar.career@gmail.com

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

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.

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).

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