Shantanu Shinde
¡•˙ Pune, Maharashtra, India |! - | □ʌV-LinkedIn- https://www.linkedin.com/in/shantanu-shinde-a11b63170/
Professional Summary
I am a dedicated aspiring Machine Learning/Deep Learning Engineer passionate about harnessing the power of data to drive actionable insights and innovative solutions. My expertise in Python, along with libraries such as Pandas, NumPy, and Scikit-learn, enables me to design and build intelligent systems tailored to address complex challenges. I specialize in developing machine learning models, deep neural networks, and leveraging frameworks like TensorFlow for deep learning and transfer learning applications, all grounded in strong analytical methods and hands-on research.
Technical Skills
Programming / Tools: Python, HTML, CSS
Frameworks: Pandas, NumPy, Scikit-Learn, TensorFlow, Matplotlib, Seaborn
Cloud Platforms: Google Cloud, AWS
Soft Skills: Leadership, Teamwork, Collaboration, Presentation, Public Speaking
Professional Experience
AI/ML Internship, YBI Foundation (Certificate)Oct 2024 –Nov 2024
Worked on data preprocessing, model training, and testing using tools such as Scikit-Learn and Pandas.
Built predictive models and analyzed performance metrics to fine-tune the results.
Gained hands-on experience in implementing AI/ML techniques to solve real-world problems
SDE Intern, Bluestock Fintech June 2025 – Present
• Currently working as a Software Development Intern, focused on front-end development for a fintech web application.
• Gaining hands-on experience with UI implementation, API integration, and version control in a real-world development environment.
Projects
Site-Guide – Web Navigation Helper| GitHub
(IBM Skills Build Top 9 Position in State Level Hackathon | 2025) (PICT Impetus Winner | 2025)
Developed a browser extension to help non-tech-savvy users navigate complex web interfaces while avoiding fraudulent links.
Technologies Used: IBM Watson AI Studio (LLM, NLP, Speech-to-Text), BrowserUse for Ai driven web interactions, Security & Accessibility enhancements.
Stock Analysis and Investment Strategy Platform| GitHub
(AICTE Project- Microsoft MS AI by Edunet Foundation)
Developed an interactive technical analysis dashboard using Plotly.js for S&P 500 stocks with SMA, Bollinger Bands, RSI, and volume overlays.
Built real-time investment strategy tools in Streamlit for portfolio insights and user navigation.
Integrated live market data from Yahoo Finance and Wikipedia (yfinance, pandas) for metrics like open/close, volume, intraday highs/lows, and % change.
Tech stack: Python, Flask, Streamlit, Plotly.js, yfinance, pandas, JavaScript, HTML/CSS, flask-cors.
AI-Based Blood Disease Prediction and Recommendation System | GitHub
Engineered dual-model system to predict 14 blood diseases from either lab parameters or blood smear images.
Designed an intuitive Streamlit UI with sidebar-based navigation for model selection and data input.
Integrated Google Gemini API to generate personalized 7-day diet, treatment, and lifestyle plans.
Implemented cell-to-disease mapping linking visual features (platelet, basophil, etc.) to clinical outcomes.
Tech stack: Python, Streamlit, Scikit-learn, TensorFlow (InceptionV3), Gemini API, Pandas, NumPy, Pillow, Joblib.
Education
B. Tech in Computer Science & Engineering (Artificial Intelligence) Nutan College of Engineering & Research, Pune
CGPA -
HSC - Maharashtra State Board
Gayatri Jr. College, Moshi-
Percentage: 81%
Certifications
Machine Learning (Completed)– WsCube Tech (YouTube)
Deep Learning (Ongoing) – WsCube Tech (YouTube)
Google Cloud Skills Boost:
Intro to ML: Image Processing (link)
Introduction to AI and Machine Learning on Google Cloud(link)
NPTEL Certification: Python for Data Science (link)
AI Adventures - Python Course (link)
Achievements & Awards
Winner, PICT Impetus International Project Competition – 2025 (link)
Top 9 Finalist, IBM SkillsBuild Maharashtra State-Level Hackathon – 2025 (link)
1st Runner-Up, Project Exhibition at Genba Moze College – 2025 (link)
