I'm a passionate Data Scientist and Machine Learning Engineer based in Bengaluru, India, dedicated to solving real-world problems through data-driven solutions and intelligent algorithms. With a strong foundation in Python, SQL, and ML frameworks, I specialize in building end-to-end ML pipelines—from data preprocessing to model deployment—that create measurable business impact.

✨ What I Do:

• 🔬 Develop and deploy machine learning models for classification, regression, and clustering tasks
• 📊 Transform raw data into actionable insights through exploratory data analysis and visualization
• 🧠 Work on deep learning projects including neural networks and specialized architectures
• 🛡️ Build solutions for cybersecurity, fraud detection, and anomaly detection
• ☁️ Leverage cloud platforms for scalable ML deployments

Deloitte Australia (Virtual Simulation)

• Conducted comprehensive exploratory data analysis (EDA) on real business datasets
• Built predictive models to forecast trends and identify patterns in customer behavior
• Created data visualizations and dashboards to communicate findings to stakeholders
• Documented insights and recommendations in professional business reports

B.E in Artificial Intelligence and Machine Learning | Bangalore Technological Institute (BTI), VTU

• CGPA: 8.7 | Relevant Coursework: Data Structures, Databases, Machine Learning, Statistics, Cloud Computing, AI
• Key Academic Projects: Led multiple data science and ML projects with focus on practical implementation and results

Building intelligent security solutions with neural networks

• Developed a deep learning model to classify malware vs benign files using static binary features
• Achieved high accuracy and F1-score through careful feature engineering and model optimization
• Implemented data preprocessing pipeline to handle imbalanced datasets and improve model robustness
• Demonstrated strong understanding of cybersecurity fundamentals and ML application in security
• Tech Stack: Python, TensorFlow/Keras, scikit-learn, pandas, NumPy
• Key Learnings: Deep neural networks, feature extraction, model evaluation metrics, security domain knowledge
• 📌 View Repository

Predicting customer attrition to drive retention strategies

• Conducted comprehensive exploratory data analysis (EDA) to understand customer behavior patterns
• Built machine learning models (Logistic Regression, Random Forest, XGBoost) to predict churn risk
• Identified key factors driving churn including pricing, service quality, and customer support issues
• Created actionable recommendations for customer retention programs
• Tech Stack: Python (pandas, scikit-learn, XGBoost), Jupyter Notebook, matplotlib, seaborn
• Key Metrics: 85%+ model accuracy, clear feature importance analysis
• 📌 View Repository

Data Analytics Bootcamp Project - EDA, Cleaning, and Predictive Modeling

• Performed extensive exploratory data analysis on 10,000+ app records
• Cleaned and preprocessed data handling missing values, duplicates, and outliers
• Analyzed app trends, categories, ratings, and download patterns
• Built predictive models for app success metrics
• Generated business insights on high-performing app categories and features
• Tech Stack: Python (pandas, NumPy, matplotlib, seaborn), Jupyter Notebook
• 📌 View Repository

Automated vehicle entry, exit, and billing with OCR technology

• Built a Python desktop application with GUI for parking management
• Integrated OCR (OpenCV + Tesseract) to automatically read vehicle license plates
• Implemented automated billing system for vehicle entry and exit
• Stored all records on Supabase cloud database for scalability
• Features include real-time vehicle tracking, billing calculation, and admin reports
• Tech Stack: Python, OpenCV, Tesseract OCR, Tkinter (GUI), Supabase
• Key Achievement: Reduced manual data entry by 95%
• 📌 View Repository

AI-powered autonomous drone tracking using YOLOv8

• Developed a real-time object detection system using YOLOv8 for autonomous tracking
• Integrated gesture-based control for drone maneuvers and commands
• Implemented person tracking and following with DJI Tello drone
• Built a complete pipeline from detection to control signals
• Tech Stack: Python, YOLOv8, DJI Tello SDK, OpenCV, Deep Learning
• Key Features: Real-time detection, autonomous tracking, gesture recognition
• 📌 View Repository

Full-stack AI applications with modern web technologies

• Developed AI-powered chatbot for conversational assistance
• Built mentorship platform (NextGen Mentor) connecting users with AI guidance
• Implemented TypeScript-based backend for type-safe development
• Integrated modern web frameworks for responsive user interfaces
• Tech Stack: TypeScript, Next.js, AI/ML APIs, React
• Key Features: Natural language processing, user authentication, real-time responses
• 📌 [View Repositories](NextJen | NextGen Mentor)

Comprehensive learning resource for generative AI concepts

• Contributed to Microsoft's open-source course on generative AI fundamentals
• Studied 21 lessons covering LLMs, prompt engineering, and applications
• Gained hands-on experience with OpenAI APIs and modern AI patterns
• Key Topics: Foundation models, embeddings, RAG, fine-tuning
• 📌 View Repository

AI-powered resume analyzer that parses, scores, and optimizes job applications

• Built an ATS (Applicant Tracking System) friendly resume analyzer that evaluates resumes against job descriptions
• Performs keyword extraction and skill gap analysis to identify missing competencies
• Provides actionable suggestions to improve job match rates and ATS compatibility
• Analyzes resume formatting for ATS optimization
• Tech Stack: TypeScript, Next.js, Python, NLP libraries
• Key Features: Resume parsing, keyword matching, score generation, skill recommendations
• 📌 View Repository

Full-stack conversational AI application with Next.js

• Developed a modern AI chatbot using Next.js and TypeScript
• Integrated real-time chat interface with AI response generation
• Implemented conversation history management and user sessions
• Built responsive UI components for seamless user interaction
• Tech Stack: TypeScript, Next.js, React, AI APIs
• Key Features: Real-time responses, chat history, responsive design, API integration
• 📌 View Repository

Guidance and mentorship platform leveraging AI

• Created a comprehensive guidance platform for career and learning support
• Implemented personalized recommendations based on user profiles
• Integrated AI-driven insights for better guidance quality
• Built features for tracking progress and achieving goals
• Tech Stack: Next.js, TypeScript, React, AI Integration
• Key Features: Personalized guidance, goal tracking, AI recommendations, user profiles
• 📌 View Repository

Advanced mentorship platform connecting mentors and mentees with AI assistance

• Developed a full-featured mentorship platform for professional development
• Implemented mentor-mentee matching algorithm based on skills and interests
• Integrated AI-powered session recommendations and guidance
• Built progress tracking and milestone management features
• Included communication tools for structured mentoring
• Tech Stack: Next.js, TypeScript, React, Backend Services
• Key Features: Mentor matching, AI-powered guidance, progress tracking, communication tools
• 📌 View Repository

Advanced AI chatbot application with modern frontend and backend integration

• Developed NextJen AI chatbot for conversational interactions

• Built intuitive user interface for chat interactions

• Integrated multiple AI models for diverse conversation types

• Implemented context awareness for meaningful responses

• Added user feedback system for continuous improvement

• Tech Stack: TypeScript, Next.js, React, AI/ML APIs

• Key Features: Multi-model AI, context-aware responses, feedback system, modern UI

• 📌 View Repository

• 🚀 13. Auto-Track - Smart Aerial Object Tracking with Deep Learning

Published AI-powered autonomous drone tracking system using computer vision

• Created an advanced autonomous drone tracking system using YOLOv8 and deep learning
• Implemented real-time object detection and tracking for moving targets
• Built intelligent gesture-based control system for drone maneuvers
• Developed person tracking and autonomous following capabilities
• Integrated efficient duct prediction for smooth trajectory tracking
• Published research work demonstrating practical applications of computer vision in robotics
• Tech Stack: Python, YOLOv8, Deep Learning, Computer Vision, DJI SDK
• Key Features: Real-time detection, autonomous tracking, gesture recognition, trajectory prediction
• 📌 View Repository

Personal profile repository showcasing projects and professional information

• Maintained a dedicated repository for personal branding and portfolio management
• Organized project documentation and professional links
• Created a central hub for all professional activities and achievements
• Showcases GitHub contributions and project portfolio
• Tech Stack: GitHub, Markdown, Profile Management
• Key Features: Project showcase, professional links, contribution tracking, portfolio management
• 📌 View Repository

💡 Each project includes: detailed README, reproducible code, dataset information, methodology, results, and instructions for running the analysis.

✅ Machine Learning & AI

• Supervised & Unsupervised Learning
• Deep Learning (Neural Networks, CNNs, RNNs)
• Feature Engineering & Selection
• Model Evaluation & Optimization
• Hyperparameter Tuning

✅ Data Analysis & Visualization

• Exploratory Data Analysis (EDA)
• Statistical Analysis & Hypothesis Testing
• Data Cleaning & Preprocessing
• Interactive Dashboards & Reports
• Business Intelligence

✅ Software Development

• Clean, production-ready Python code
• Version Control (Git/GitHub)
• Debugging & Problem-Solving
• Documentation & Code Comments
• Jupyter Notebook & Colab

✅ Domain Knowledge

• Cybersecurity & Malware Analysis
• Customer Analytics & Segmentation
• Financial Data Analysis
• Business Strategy & Decision-Making

• 📌 Advanced ML Techniques: Ensemble methods, model interpretability (SHAP, LIME), transfer learning
• 📌 Cloud ML Platforms: Google Cloud AI, AWS SageMaker, model deployment and scaling
• 📌 Production ML: MLOps, model monitoring, continuous integration/deployment for ML
• 📌 Specialized Topics: NLP, time series forecasting, computer vision applications

• 📜 AI and Data Scientist - OneRoadmap (Oct 2025)

• 📜 Brain-Computer Interface Masterclass - Pantech.ai & Warriors Way (Oct 2025)

🔗 LinkedIn: linkedin.com/in/nithin-p-054947365

📧 Email: nithi41124113@gmail.com 💼 GitHub: github.com/Nithi-121
🌐 Portfolio: your-portfolio.com (optional)

###🔍 For Recruiters & Hiring Managers

I am actively seeking opportunities in:

• ✅ Data Science Internships & Full-time Roles
• ✅ Machine Learning Engineering positions
• ✅ Data Analytics & Business Intelligence roles
• ✅ AI/ML Research & Development

If my profile aligns with your team's requirements, I'd love to discuss how I can contribute to your organization's success. Feel free to reach out via LinkedIn or email.

Thank you for visiting my profile! Happy to connect and collaborate on exciting projects.