Data Science Student | Machine Learning Enthusiast | Aspiring Data Scientist

I am a passionate Computer Science and Engineering student at Lovely Professional University, specializing in Data Science, Machine Learning, and DevOps. I love building end-to-end intelligent systems that solve real-world problems, from raw data to deployment.

• 🎓 Education: B.Tech in Computer Science and Engineering (2023-2027)
• 💼 Experience: Former Data Analyst Intern at Howden Insurance Brokers Pvt. Ltd.
• 🧠 Interests: Machine Learning, MLOps, Data Analytics, Cloud Computing (AWS).
• 🎯 Goal: To leverage data and AI to drive business decisions and operational efficiency.

(Jun 2025 – Aug 2025)

• 📈 Analyzed 10+ operational datasets and automated reporting workflows.
• 🔄 Processed 100K+ records to define SLA adherence and workload KPIs.
• 📊 Delivered 6+ Power BI dashboards to improve cross-functional visibility.

Python, SQL, Scikit-learn, FastAPI, Docker, Kubernetes, Jenkins, Terraform, Ansible, AWS

• End-to-End System: Architected a churn prediction system processing 7K+ customers.
• MLOps: Automated model retraining and CI/CD deployment on AWS.
• Impact: Enabled real-time churn risk monitoring with dashboards refreshing every 15 minutes.

Python, Pandas, NumPy, Scikit-learn

• Prediction: Built a traffic control system using 3 ML models on municipal drainage data.
• Insight: Identified high-risk zones using K-Means clustering.
• Validation: Evaluated models using 5 standard ML metrics for reliability.

Power BI, DAX, Power Query, Excel

• Analytics: Defined reporting for 11K+ assets covering inspection and risk exposure.
• Visualization: Consolidated 5+ datasets into interactive Power BI dashboards.
• Outcome: Highlighted critical infrastructure needs and inspection backlogs.

• Deploy and Maintain Power BI Assets and Capstone Project (Dec 2025)
• Data Analysis and Visualization with Power BI (Dec 2025)
• Cloud Computing – NPTEL (Nov 2025)

Created by Umang Garg