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Jinith Naik – Data Science, AI, & Analytics Portfolio |
I’m Jinith Naik, an Information Technology undergraduate with a focus on data science, machine learning, and artificial intelligence. This portfolio showcases my academic journey, projects, experience, and technical skills.
🧑💻 About Me
- Name: Jinith Naik
- Email: jinithnaikcareer@gmail.com
- Mobile: +91 7990554873
- Background: Passionate about solving real-world problems using data, AI, and technology. Experienced in software development, analytics, and research roles in dynamic, collaborative environments.
🎓 Education
| Degree | Institution | Dates | Result |
|---|---|---|---|
| B.E. (IT) | G.H Patel College of Engineering & Technology | Sept 2021 – May 2025 | CGPA: 8.37 |
| 12th (CBSE) | Shree Shreeji English Medium School, Valoti | Jun 2020 – May 2021 | 75.71% |
| 10th (CBSE) | Shree Shreeji English Medium School, Valoti | Jun 2018 – May 2019 | 80% |
💼 Work Experience
Space Application Centre, ISRO (Jan 2025 – May 2025) – Research Intern
- Built Python tool for global alignment of telescopic systems.
- Enhanced calibration accuracy for optical payloads by 15%.
- Integrated OpenCV & NumPy to cut simulation preprocessing by 25%.
- Collaborated with scientists on mission-critical payloads.
Nahar Om, Chennai (Jun 2024 – Nov 2024) – Research Intern
- Performed market analysis for 10+ sustainability startups.
- Created 3-year financial models and investor pitch decks.
- Developed actionable market strategies for clean-tech sector.
Coratia Technologies, Rourkela (May 2024 – Jun 2024) – Data Analyst Intern
- Designed Power BI dashboards for KPIs and cost analytics.
- Uncovered 25% of monthly expenses due to rentals, leading to cost restructuring.
- Automated Excel-SQL workflows, resulting in 8% profit growth.
🏆 Projects
Layoffs Data Analysis & Statistical Modeling (2020–2023)
- Cleaned 1,700+ records using advanced SQL (CTEs, window functions).
- Explored workforce trends across 50+ countries, 30+ industries.
- Built predictive models highlighting peak layoff periods and risk sectors.
Malaria Detection Using Deep Learning
- Developed custom CNN with Albumentation for parasite detection.
- Published work in Springer CSCT 2024 (Paper ID: 481).
- Improved diagnostic accuracy for resource-limited healthcare.
EV Market Intelligence & Predictive Analytics
- Analyzed 150,000+ EV registrations for market trends.
- Predicted Tesla’s 52% market dominance.
- Visualized adoption & compliance gaps via Tableau dashboards.
📜 Certifications & Publications
- Data Analysis and Visualization – University at Buffalo (Coursera, Feb 2024)
- Machine Learning with Python – IBM (Coursera, Apr 2024)
- Introduction to AI – IBM (Coursera, Oct 2023)
- Data, Data, Everywhere – Google (Coursera, Sep 2023)
- Data Visualization and Dashboards – IBM (Coursera, Feb 2023)
- Publication: “Enhanced Malaria Detection with Custom CNN and Albumentation” – Springer CSCT 2024 (Paper ID: 481)
🎖️ Achievements & Activities
- Hackathons: Participated with Python/Data-focused teams.
- IEEE Member: Organized technical and coding events.
- eSports Tech Fest: Managed events & automation for Valorant/BGMI tournaments.
- Workshops: Data Science, ML, Tableau, Big Data.
- Peer Trainer: Taught Excel and Pandas basics.
🛠️ Skills
- Programming/Tools: Python, Pandas, NumPy, Power BI, Tableau, Matplotlib, OpenCV
- Analytical: Data cleaning, EDA, dashboards, KPI analysis, data storytelling
- Machine Learning/AI: Custom CNNs, model training, data augmentation
- Project Tools: Git, Jupyter Notebook, VS Code
- Soft Skills: Communication, teamwork, event organization, mentoring
💡 Areas of Focus
- Data Science & Analysis
- Machine Learning & AI Applications
- Computer Vision
- Automation Scripting
- Business Intelligence & Analytics
📫 Contact
- Email: jinithnaikcareer@gmail.com
- LinkedIn: https://www.linkedin.com/in/jinithnaik
- GitHub: https://github.com/Jinith-naik
“Committed to continuous learning, impactful problem-solving, and making a difference through data.”
Feel free to explore my projects and reach out for collaborations!