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patil020/README.md

Ajinkya Patil

πŸ‘‹ LinkedIn
GitHub
πŸ“„ Naukri
πŸ“š DeepLearning.AI
🎯 HackerRank
βœ‰οΈ Email: [email protected]
πŸ“ž Phone: +91 9145474299



πŸ“ About Me

πŸ’» Full Stack Developer & Data Enthusiast with a strong foundation in Java, .NET Core, React, Spring Boot, and MERN stack development along with hands-on experience in Machine Learning and Data Analysis.

πŸ”Ή Completed Post Graduate Diploma in Advanced Computing (PG-DAC) from CDAC Sunbeam Institute of Information Technology, where I built multiple end-to-end web applications using modern technologies.
πŸ”Ή Experienced in building scalable systems with clean architectures, REST APIs, authentication/authorization (JWT), and database-driven applications.
πŸ”Ή Passionate about combining software development and data-driven insights to deliver impactful solutions.



πŸŽ“ Education

  • Post Graduate Diploma in Advanced Computing (PG-DAC)
    Sunbeam Institute of Information Technology, Pune
    2025 | Pune

  • M.Sc. in Statistics
    PES Modern College, Shivajinagar (Savitribai Phule Pune University)
    2021 – 2023 | Pune

  • B.Sc. in Statistics
    PES Modern College, Ganeshkhind (Savitribai Phule Pune University)
    2018 – 2021 | Pune

  • Higher Secondary Education
    Jawahar Navodaya Vidyalaya
    2016 – 2018 | Kolhapur



πŸ† Projects

1. TaskBuddy – Project & Task Management System (Full Stack)

Tech Stack: React, Spring Boot, MySQL, JWT Authentication, Docker
Features:

  • User authentication & role-based access
  • Project & task CRUD operations
  • Team management with invitations & approvals
  • Real-time notifications (SignalR / WebSocket)
  • Attachments, comments & soft delete
    Outcome: Built a collaborative platform to manage projects, tasks, and team interactions efficiently.

2. Predicting Cardamom Prices in India (Time Series)

Objective: Analyze and predict cardamom price trends using ARIMA, VARMAX, and LSTM models.
Outcome: Developed accurate forecasting models for agricultural commodity pricing.

3. Car Price Estimation (Regression Models)

Methodologies: Simple Linear Regression, Multiple Linear Regression, Polynomial Regression.
Outcome: Compared models to determine the best predictors for car prices.

4. Gender Inequality & Human Development Analysis

Objective: Studied the relationship between GII and HDI.
Outcome: Showed the impact of gender inequality on development through statistical analysis.

5. Online Education System Impact Analysis

Methodology: Logistic & Multiple Linear Regression.
Outcome: Provided insights into positive and negative effects of online education on performance.



⚑ Skills

  • Full Stack Development: Java, Spring Boot, Hibernate, JPA, .NET Core, React, Node.js, Express.js, MongoDB, MySQL
  • Programming: Java, C++, Python, SQL, R
  • Data Science & ML: Regression, Time Series, Deep Learning
  • Frontend: React, HTML5, CSS3, JavaScript (ES6+), Bootstrap
  • Data Visualization: Power BI, Tableau, Matplotlib, Seaborn, Plotly
  • Tools: Git, Docker, Postman, Jupyter, VS Code, IntelliJ, Eclipse


πŸ“œ Certifications

  • Machine Learning Optimization (NPTEL)
  • Machine Learning with Python (IBM)
  • SQL for Data Science (Coursera)
  • Crash Course on Python (Coursera)
  • Data Science Course (Internshala with NSDC)


✨ Always exploring opportunities in Full Stack Development and Data-Driven Application Development.
Feel free to check out my work on GitHub πŸš€

Popular repositories Loading

  1. time-series-project time-series-project Public

    Config files for my GitHub profile.

    Jupyter Notebook 1

  2. project project Public

    Jupyter Notebook

  3. project-The-statistical-analysis-of-smart-phone-usage-and-increased-risk-of-smart-phone-addiction- project-The-statistical-analysis-of-smart-phone-usage-and-increased-risk-of-smart-phone-addiction- Public

    The statistical analysis of smart phone usage and increased risk of smart phone addiction’

  4. patil020 patil020 Public

  5. TaskBuddy TaskBuddy Public

    Forked from Thumdeo/TaskBuddy

    The project main aims is to do project management and utilising resources efficiently/

    JavaScript

  6. Coding-Practice Coding-Practice Public

    Java