🎓 MCA student specializing in Artificial Intelligence & Data Science at Amrita Vishwa Vidyapeetham, Mysuru

I'm an aspiring Data Scientist and ML Engineer interested in turning data into practical solutions through Machine Learning, Data Science, NLP, AI Research, and intelligent systems.

My work spans academic research, applied machine learning, data analytics, competitive programming, and team leadership.

ankith = {
    "role": "Aspiring Data Scientist / ML Engineer",
    "education": "MCA – AI & Data Science @ Amrita Vishwa Vidyapeetham",
    "focus": [
        "Machine Learning",
        "Data Science",
        "NLP",
        "AI Research",
        "Data Analytics"
    ],
    "research": "Depression prediction using social media behaviour",
    "internship": "Team Lead – Infosys Springboard Virtual Internship 6.0",
    "current_project": "Risk-aware lane changing for autonomous vehicles",
    "coding": "LeetCode + HackerRank",
    "goal": "Build reliable, data-driven AI solutions"
}

🚗 Autonomous Vehicle Research Risk-aware optimised lane-changing decision and trajectory planning for autonomous vehicles.

📧 AI & NLP Exploring intelligent email classification using NLP and transformer-based models.

📊 Machine Learning & Analytics Working with predictive modelling, clustering, PCA, model evaluation, and data-driven decision making.

💻 DSA & Problem Solving Practising coding problems on LeetCode and HackerRank while maintaining organised solution repositories on GitHub.

"Predicting Depression Through Social Media Behaviour: Integrating Behavioural Features and Hybrid Methodologies"

📍 Research submitted to MIKE 2026 — Mining Intelligence and Knowledge Exploration

A machine learning research study investigating the relationship between social media behavioural patterns and depression indicators.

Approaches explored:

• Support Vector Machine (SVM)
• K-Nearest Neighbours (KNN)
• ID3 Decision Tree
• Naïve Bayes
• K-Means Clustering
• K-Medoids Clustering

The study combines classification and clustering techniques to investigate behavioural patterns and evaluate their usefulness for depression prediction.

First-author ML research combining supervised classification and unsupervised clustering to analyse social media behavioural patterns.

Tech: Python • Pandas • Scikit-learn • Machine Learning

Infosys Springboard Virtual Internship 6.0

Led a 22-member team in developing an enterprise-oriented email classification system using NLP and machine learning.

Tech: Python • NLP • DistilBERT • FastAPI • Machine Learning

Best DistilBERT F1 Score: ~95.5%

End-to-end HR analytics project covering exploratory data analysis, dimensionality reduction, classification and clustering.

Tech: Python • Pandas • PCA • Scikit-learn • K-Means • K-Medoids • Hierarchical Clustering

Deep learning-based project focused on recognising sign language gestures.

Tech: Python • Deep Learning • Computer Vision

Data mining project using preprocessing, the elbow method and K-Means clustering to explore global health and socioeconomic patterns.

Tech: Python • Pandas • Scikit-learn • K-Means

Machine learning project focused on retail sales prediction using exploratory analysis, preprocessing and predictive modelling.

Tech: Python • Pandas • Scikit-learn • Regression

Exploratory data analysis of Uber ride patterns, peak hours and demand trends.

Tech: Python • Pandas • Matplotlib • Data Analysis

A continuously updated collection of solutions to LeetCode problems, maintained through LeetHub to automatically sync solved problems with GitHub.

Focus: Data Structures • Algorithms • Problem Solving • Interview Preparation

Languages: Python • C • Java

A dedicated repository for practising and documenting HackerRank programming challenges.

Focus: Algorithms • Data Structures • Problem Solving • Coding Practice

Languages: Python • C • Java

My coding repositories reflect my ongoing preparation for:

• 💡 Technical interviews
• 🧮 Data Structures & Algorithms
• 🐍 Python problem solving
• 💻 Programming fundamentals
• 🏢 Software & ML engineering assessments

• 👨‍💼 Team Lead — Infosys Springboard Virtual Internship 6.0

  • Led a 22-member team
  • Developed an AI-powered enterprise email classification system

• 🏫 Smart India Hackathon 2024

  • Team Lead
  • AgriTech price prediction using LSTM
  • Reached college-level finals

• 🥋 Karate Instructor | Referee | Judge | Head of Tatami

  • Leadership and tournament-level experience

• 📜 30+ Professional Certifications

  • AI, Data Science, Machine Learning, Generative AI and professional skills

• 🤝 IEEE CCEM Volunteer

  • Contributed to professional technology and academic events

• 🤖 Advanced Machine Learning & Deep Learning
• 🧠 NLP & Transformer-based models
• ⚙️ MLOps & AI Engineering
• 📊 Data Engineering & scalable data systems
• 🧮 Algorithms & Data Structures
• 🚗 Autonomous Vehicle Intelligence
• 🔬 Machine Learning Research Methodologies

Explore my repositories to see my projects, research work and ongoing coding practice.

⭐ Turning data into insights, models into solutions, and ideas into impact.