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Kozhikode
Dwarakanath K

Dwarakanath K

Data Analyst

Technology / Internet

Kozhikode, Kozhikode

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About Dwarakanath K:

MSc Big Data Analytics student passionate about turning data into actionable insights. Built LOGEAUM, an AI-powered mental health chatbot using GPT-4 with 94.44% emotion recognition accuracy, processing 657K+ text samples.

Technical Skills:
- AI/ML: Python, TensorFlow, scikit-learn, Deep Learning
- NLP: SpaCy, text processing, sentiment analysis
- Data Tools: Tableau (Advanced), SQL, pandas, NumPy
- Big Data: Hadoop, Apache Spark

Currently seeking Data Science/ML internship opportunities in Pune, Hyderabad, or Chennai starting January 2026.

Open to: Data Analyst, ML Engineer, AI/NLP roles
Location: Flexible (willing to relocate)

Experience

AI/ML PROJECT DEVELOPER | Independent Project
October 2024 - Present

Developed LOGEAUM - AI-Powered Mental Health Chatbot using OpenAI GPT-4

Key Achievements:
- Built end-to-end AI system achieving 94.44% emotion recognition accuracy
- Processed and analyzed 657,595+ text samples from 12+ diverse sources
- Implemented comprehensive NLP pipeline using Python, SpaCy, and TensorFlow
- Deployed production-ready application on Streamlit with real-time crisis detection
- Integrated GPT-4 API for intelligent conversational responses
- Developed multi-label emotion classification system for 15+ mental health conditions

Technologies Used: Python, OpenAI GPT-4, TensorFlow, SpaCy, pandas, NumPy, scikit-learn, Streamlit, Google Colab

Impact: Created system capable of identifying crisis situations and providing automated helpline recommendations for mental health support.

Education

MSc BIG DATA ANALYTICS STUDENT | St Aloysius Deemed University
2024 - Present (Expected Graduation: 2026)

Academic Focus: Machine Learning, Deep Learning, Natural Language Processing, Big Data Analytics, Cloud Computing

Key Projects:
- LOGEAUM - AI Mental Health Chatbot (GPT-4, NLP, 94.44% accuracy)
- Data processing and analysis with 657K+ text samples
- End-to-end ML pipeline development and deployment

Technical Coursework:
Machine Learning, Deep Learning, NLP, Big Data (Hadoop/Spark), Data Mining, NoSQL Databases, Cloud Computing, R Programming, Statistical Analysis

Certifications:
- Tableau 2024 Advanced: Master Tableau in Data Science
- Machine Learning using Python
- Statistical Inference using R
- Essentials of Cloud Computing

Currently seeking Data Science/ML internship opportunities to apply academic knowledge to real-world business challenges.

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