I'm a Computer Science & Engineering student at Vellore Institute of Technology, Chennai, specializing in Artificial Intelligence and Machine Learning. Currently working as a Data Analyst Intern at Philips India Ltd, where I build dashboards, automate workflows, and solve real-world business problems with data.

🎯 Passionate about: Machine Learning, Data Analytics, Cloud Computing, and building intelligent systems that make a difference.

• 📊 Built automated analytics dashboards at Philips using Databricks and Power Automate
• 🔍 Developed KPI tracking systems for supply chain optimization
• 🗄️ Created comprehensive business intelligence solutions with 26+ performance indicators

Languages & Frameworks:

• 🐍 Python | R | C/C++ | Java
• 🧠 TensorFlow | PyTorch | Scikit-learn | PySpark

Data & Analytics:

• 📊 Pandas | NumPy | Matplotlib | Seaborn
• 🏗️ Databricks | Power BI | Tableau
• 🗄️ SQL | MongoDB | Cassandra

Cloud & Tools:

• ☁️ AWS (Certified Solutions Architect & Cloud Practitioner)
• 🔧 Power Automate | Power Apps
• 🖼️ OpenCV | NLTK

Mobile Development:

• 📱 Flutter | Android Development

Flutter + Flask + Machine Learning

• Built an Android app that suggests recipes based on available ingredients
• Implemented ML-powered recommendation engine using Scikit-learn
• Created REST API with Flask-RESTful for seamless data communication

Computer Vision + Deep Learning

• Fine-tuned Faster R-CNN model for real-time accident detection in video streams
• Optimized model performance using PyTorch and advanced data augmentation
• Achieved improved accuracy using Roboflow API and Albumentations

• ☁️ AWS Certified Solutions Architect (Associate) - October 2024
• ☁️ AWS Certified Cloud Practitioner - December 2023
• 🎓 Machine Learning Specialization - Stanford University & DeepLearning.AI (Coursera)

Data Analyst Intern @ Philips India Ltd (Jan 2025 - Present)

• Automated supply chain reporting workflows, eliminating 100% manual work
• Built comprehensive dashboards with 26+ KPIs for executive decision-making
• Enhanced product analytics for data-driven bundling strategies

Project Trainee @ DRDO (Aug 2023 - Sep 2023)

• Developed AI-based pattern analysis for Call Detail Records

• Applied ML techniques for network optimization and anomaly detection

• 🥇 Top 10 out of 53 teams in DataXact Datathon (VIT Chennai Data Science Club)

• 📊 Developed predictive models for environmental monitoring using gas sensor data

• 🎪 Organizing member for Krypthon Hackathon (Android Club VIT)