SUDARSHANA P G
MASTERS OF COMPUTER APPLICATION(MCA) STUDENT
Contact
Education
MASTERS OF COMPUTER APPLICATION(MCA)
PES University
2026 · CGPA: 6.69
I will complete my MCA degree in 2026, around the month of July or August. 6.69 CPGA is the cumulative of 1st and 2nd Sem, 3rd Sem results are not yet out
Bachelor's of Computer Application(BCA)
Mahatma Gandhi Memorial College
2024 · CGPA: 8.44 · 80.83
PUC (11th and 12th)
Mahatma Gandhi Memorial College
2021 · 81.83
High School (SSLC)
National High School
2019 · 71.84
Certifications
Databases and SQL for Data Science with Python
IBM
Issued Nov 2025 · ID: EIP5T6ARBY95
I took this course to strengthen my understanding of data storage and querying, which is critical for any data-driven application. I learned how to design queries, work with relational databases, and use SQL effectively alongside Python. The course helped me understand how data flows from databases into analysis pipelines. It also improved my confidence in handling real datasets and writing efficient queries, which directly supports my backend and full-stack development work.
Foundations of Cybersecurity
Google
Issued Nov 2025 · ID: 4YJ9MC4SWKYN
I took this course to understand security from the ground up, especially since modern software systems rely heavily on secure design. I learned about common cyber threats, security principles, risk management, and how organizations protect systems and data. This course helped me think more responsibly as a developer and understand the importance of security in software, databases, and networks. It gave me a strong conceptual base that complements my backend and system-level work.
Python Project for Data Science
IBM
Issued Sep 2024 · ID: ITAQFWF6FDTD
This was where everything came together. I wanted to move beyond learning concepts and actually apply them in a real project. Through this course, I worked on a complete data science project using Python, handling data extraction, cleaning, analysis, and presenting results. It strengthened my problem-solving skills and taught me how to structure projects logically. More importantly, it gave me confidence that I can take a problem from start to finish, not just follow tutorials.
Data Science Methodology
IBM
Issued Feb 2024 · ID: 3CHZKUF6DZSG
This course taught me how to think before coding. I learned a structured approach to solving data problems, from defining the business problem to collecting data, choosing the right analytical methods, evaluating results, and communicating insights. It helped me avoid the common mistake of jumping straight into tools without understanding the problem. This methodology has influenced how I approach projects even outside data science, especially when breaking down complex real-world problems logically.
Tools for Data Science
IBM
Issued Oct 2023 · ID: EUKM3GS2DK7Y
I wanted hands-on exposure to the actual tools used by data professionals, not just theory. This course introduced me to the data science ecosystem including Jupyter Notebooks, Git, GitHub, and cloud-based environments. I learned how professionals organize projects, document work, and collaborate effectively. It helped me understand workflows end-to-end and made me more confident working in real development and data environments instead of isolated practice setups.
What is Data Science?
IBM
Issued Apr 2023 · ID: YL5FYRQZV6PW
This course was my entry point into data science. I wanted clarity before jumping into tools and code, and this helped me understand what data science actually involves in the real world. I learned how data science combines statistics, programming, and domain knowledge to solve practical problems. The course explained real use cases across industries and clarified the roles of data analysts, data scientists, and machine learning engineers. It helped me build the right mindset early on and gave me confidence that this field aligns well with my problem-solving interests.
Python for Data Science, AI & Development
IBM
Issued Jan 2023 · ID: Z2RSCKZVM53Q
I took this course to build a strong programming foundation specifically for data-driven work. It helped me understand Python not just as a language, but as a tool for analysis, automation, and development. I learned core Python concepts, data structures, functions, and how Python is used in real data science and AI workflows. This course made me comfortable writing clean, logical code and prepared me to work with libraries used in analytics and machine learning later on.
GitHub
Projects for @SudarshanaPG
GreenLeaf Nursery (DEMO): full‑stack plant nursery app with Node.js/Express + Prisma (SQLite) and DB‑backed cookie sessions. Google OAuth‑only login for customers/sellers/admins. Includes browsing, cart/checkout, seller plant uploads/stock, admin dashboard, and fake payments (dev) + Razorpay/webhooks (prod).
Internal ticketing system built with Django REST Framework + JWT, Cloudinary attachments, and a vanilla JS frontend. Includes role-based access (Admin/User), search/filter/pagination, ticket details, and Tawk.to chat.
Go + Rod proof-of-concept for browser automation architecture and stealth/human-like interaction simulation, with configurable workflows (auth/search/connect/messaging), rate limiting, scheduling, and JSON state persistence. Includes ToS-safe demos via dry-run and a local mock “LinkedIn” server (no real account usage).