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βοΈ Email: [email protected]
π Phone: +91 9145474299
π» 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.
πΉ 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.
πΉ Experienced in building scalable systems with clean architectures, REST APIs, authentication/authorization (JWT), and database-driven applications.
πΉ Passionate about combining software development and data-driven insights to deliver impactful solutions.
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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 β 2023 | Pune -
B.Sc. in Statistics
PES Modern College, Ganeshkhind (Savitribai Phule Pune University)
2018 β 2021 | Pune -
Higher Secondary Education
Jawahar Navodaya Vidyalaya
2016 β 2018 | Kolhapur
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.
Objective: Analyze and predict cardamom price trends using ARIMA, VARMAX, and LSTM models.
Outcome: Developed accurate forecasting models for agricultural commodity pricing.
Methodologies: Simple Linear Regression, Multiple Linear Regression, Polynomial Regression.
Outcome: Compared models to determine the best predictors for car prices.
Objective: Studied the relationship between GII and HDI.
Outcome: Showed the impact of gender inequality on development through statistical analysis.
Methodology: Logistic & Multiple Linear Regression.
Outcome: Provided insights into positive and negative effects of online education on performance.
- 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
- 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)
β¨ Always exploring opportunities in Full Stack Development and Data-Driven Application Development.
Feel free to check out my work on GitHub π

