Sanjay Portfolio_ Sanjay _ Portfolio.pptx

this is a potfolio of mine

1. Sanjay Balasubramanian Data Analyst - Portfolio https://github.com/Sanjay-3011

2. Hello! My name is Sanjay I am a data analytics enthusiast with a background in backend development, database management, and agile project execution . Currently, I am deepening my expertise in data analytics , focusing on extracting meaningful insights from structured and unstructured data . With my curiosity and problem-solving mindset , I am eager to understand data patterns, uncover trends, and develop analytical skills that will help in making informed decisions. Through my ongoing coursework and hands-on learning , I am building a strong foundation in data analysis, visualization, and predictive modeling , aiming to apply these skills in real-world scenarios. 2 Technical skills Python Data Visualization SQL Project Management Excel Agile Methodology Soft skills Problem-solving Collaboration Leadership Analytical Thinking Adaptability Curiosity

3. Projects 3 Hifi Delivery Eats A web-based online food ordering application developed using Agile methodology, featuring multi-factor authentication, session management, route optimization, real-time order tracking, and a user-friendly interface for a seamless food delivery experience. Predictive Maintenance for Autonomous Vehicles Analyzing vehicle sensor data to identify maintenance needs in autonomous systems, ensuring reliability, reducing unexpected failures, and optimizing performance through proactive decision-making and data-driven insights.

4. Hifi Delivery Eats – a Smart Food Delivery Platform 4 Objective Develop a web-based food ordering and delivering application using Agile methodology to enhance user experience. Implement multi-factor authentication, session management, route optimization, and real-time order tracking for seamless food delivery. Tools Frontend : HTML, CSS, JS Backend : Flask, SQLite3 Design : Figma Features Session timeout Sentiment Analysis Route Finder Revenue Trends Automatic Agent Assignment

5. Hifi Delivery Eats 5 Project Overview: Seamless Food Ordering & Delivery A platform connecting customers, restaurants, and delivery agents. Real-Time Tracking & Order Management Live order tracking for customers and efficient delivery management. Role-Based Access Control Tailored access for customers, admins and delivery agents. Business Insights & Performance Metrics Analytics to optimize service and sales. Automated Notifications & Reports Timely Email updates and reports for restaurants

6. 6 Hifi Delivery Eats Real-Time Visualization & Insights 🔹 Order Tracking 📍 – Live updates on order status, estimated delivery times 🔹 Agent Performance Metrics 🚴 – Tracking delivery speed, efficiency, and ratings 🔹 Customer Insights 🛒 – Understanding user behaviour, preferences, and retention 🔹 Top-Selling Items 🍕 – Identifying most popular dishes across locations 🔹 Order Frequency Analysis 📊 – Trends in customer orders, peak hours, and demand shifts Tools Used – Seaborn, Matplotlib, Pandas, Chart.JS for real-time analytics

7. 7 Hifi Delivery Eats Gi tHub Repo Key learning experience: Effectively managing sprints and tasks in an Agile environment was crucial for seamless feature integration. Leading the team required adaptability and task prioritization , highlighting the importance of collaboration and problem-solving throughout the project. The project focused on automating order allocation, improving delivery efficiency, and enhancing security by reducing manual intervention, preventing fraud, and optimizing delivery routes to build a scalable food delivery system . Click links to check the project My Role in the Project: Backend & Database Management – Structured and managed the data flow. Data Visualization – Implemented graphs and insights using Charts.JS. Team Leader & Scrum Master – Guided the team in achieving sprint goals and Led integration efforts. UI Design Contributions – Assisted in designing user-friendly interfaces in Figma.

8. 8 Predictive Maintenance for Autonomous Vehicles Objective Develop a data-driven maintenance system for autonomous vehicles by analyzing sensor data. Reduce unexpected failures and optimize servicing schedules through real-time insights. Tools Python Scikit-learn, tensor flow Pandas & NumPy libraries Matplotlib, seaborn & pyplot Excel Data Features Sensor Data Analysis Failure Pattern Detection Predictive Insights Optimized Servicing Schedules Feature Engineering Data Collection Investigating Data Data Cleaning Feature Engineering Model Training Maintenance Optimization Predictive Insights Automotive Vehicles Engine Health Dataset (ONGOING)

9. 9 Predictive Maintenance for Autonomous Vehicles Aim of the Project: Develop a data-driven approach to predict vehicle maintenance needs, enhancing reliability and reducing downtime. Analyze sensor data and maintenance logs to identify patterns indicating potential failures. Provide actionable insights for preventive maintenance without using machine learning models . This project is in its early stages, currently I have gathered the dataset and am analyzing it to identify key trends and failure patterns. I am also considering sharing the dataset link for transparency and further collaboration. Dataset : Automotive Vehicles Engine Health Dataset Credit: The dataset used for this project is sourced from Kaggle.

10. Sanjay B Perambalur, Tamil Nadu - 621212 Get in touch 10 Email: email me directly