🎓 MCA student specializing in Artificial Intelligence & Data Science at Amrita Vishwa Vidyapeetham, Mysuru
I'm a data enthusiast and aspiring ML Engineer who believes that every dataset has a story waiting to be told. From predicting depression through social media behaviour to building AI-powered email classifiers, I work at the intersection of research, machine learning, and real-world impact.
ankith = {
"role" : "Data Scientist / ML Engineer (Aspiring)",
"education" : "MCA – AI & Data Science @ Amrita Vishwa Vidyapeetham",
"research" : "First-author paper @ MIKE 2026 on Depression Prediction via Social Media",
"internship" : "Team Lead (22 members) – AI-Powered Smart Email Classifier @ Infosys Springboard",
"interests" : ["Machine Learning", "NLP", "Data Mining", "MLOps", "AI Research"],
"currently" : "Building LeetCode solutions pipeline & a full-stack Brahmin food service app",
"fun_fact" : "I'm also a Karate Instructor, Referee & Head of Tatami 🥋"
}
🏆 First-Author Research Paper
"Predicting Depression Through Social Media Behavior: Integrating Behavioral Features and Hybrid Methodologies" 📍 Submitted to MIKE 2026 (Mining Intelligence and Knowledge Exploration)
Developed a hybrid ML framework combining classification (SVM, KNN, ID3, Naïve Bayes) and clustering (K-Means, K-Medoids) models to identify depression indicators from social media behavioral data — with a focus on model interpretability and real-world applicability.
| Project | Description | Tech |
|---|---|---|
| 🧠 Predicting Depression via Social Media | First-author ML research using SVM, KNN, ID3, K-Means & K-Medoids | Python, Scikit-learn |
| 📧 AI-Powered Smart Email Classifier | Led 22-member team for Infosys Springboard enterprise AI project | Python, NLP |
| 👤 HR Analytics with ML & Clustering | EDA, PCA, Logistic Regression, ROC-AUC, Clustering | Python, Jupyter |
| 🤟 Sign Language Recognition | Deep learning-based real-time sign language detection | Python, Deep Learning |
| 🌍 Life Expectancy Clustering | K-Means clustering of global health & socioeconomic data | Python, Pandas |
| 🛒 BigMart Sales Prediction | Retail ML pipeline with feature engineering & regression | Python, Scikit-learn |
| 🚖 Uber Data Analysis | EDA on ride patterns, demand hotspots & peak hours | Python, Matplotlib |
- 🥋 Karate Instructor | Referee | Judge | Head of Tatami – Tournament-level credentials
- 👨💼 Team Lead (22 members) – Infosys Springboard Virtual Internship 6.0
- 🏫 SIH 2024 – Led AgriTech LSTM Price Prediction project to college-level finals
- 📜 30+ Certifications – Infosys Springboard, Coursera, LinkedIn Learning, Great Learning
- 🤝 IEEE CCEM Volunteer – Active contributor to professional tech conferences
- 🔁 Automating LeetCode solution sync pipeline (C / Java / Python → GitHub)
- 📱 Building a full-stack app for Brahmin food services, traditional scheduling & lodging management
- 🧪 Exploring MLOps, Data Engineering & Scalable AI Systems
- 📖 Algorithm Design, Advanced ML & AI Research Methodologies
⭐ "Without data, you're just another person with an opinion." — W. Edwards Deming