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.
π― Passionate about: Machine Learning, Data Analytics, Cloud Computing, and building intelligent systems that make a difference.
- π Built automated analytics dashboards at Philips using Databricks and Power Automate
- π Developed KPI tracking systems for supply chain optimization
- ποΈ Created comprehensive business intelligence solutions with 26+ performance indicators
Languages & Frameworks:
- π Python | R | C/C++ | Java
- π§ TensorFlow | PyTorch | Scikit-learn | PySpark
Data & Analytics:
- π Pandas | NumPy | Matplotlib | Seaborn
- ποΈ Databricks | Power BI | Tableau
- ποΈ SQL | MongoDB | Cassandra
Cloud & Tools:
- βοΈ AWS (Certified Solutions Architect & Cloud Practitioner)
- π§ Power Automate | Power Apps
- πΌοΈ OpenCV | NLTK
Mobile Development:
- π± 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
- βοΈ AWS Certified Solutions Architect (Associate) - October 2024
- βοΈ AWS Certified Cloud Practitioner - December 2023
- π 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
-
π₯ Top 10 out of 53 teams in DataXact Datathon (VIT Chennai Data Science Club)
-
π Developed predictive models for environmental monitoring using gas sensor data
-
πͺ Organizing member for Krypthon Hackathon (Android Club VIT)