Iβm Saran, an Engineer turned Data Explorer π with a passion for uncovering insights from data. As an aspiring Data Scientist, Iβm building expertise in Python, SQL, and Data Analysis, working on projects that transform raw data into actionable solutions.
I thrive on solving challenging problems, learning new technologies, and applying analytical thinking to real-world scenarios. My journey from engineering to data science has sharpened my problem-solving skills and fueled my curiosity to explore the stories data can tell.
Letβs connect and create impactful solutions together!
Let's ConnectProjects Completed
Mini and Mid-level Data/Web projects
DashBoard
Mini and Mid-level Data projects
Problem-Driven
Converting raw data into insights
Background
Strong foundation in logical systems
Project Management
Problem Solving
Technical Communication
Team Leadership
Job Acceptance Prediction System β Developed an end-to-end predictive analytics platform using Python, Streamlit, and machine learning to forecast candidate job acceptance, visualize placement probabilities, and provide actionable HR insights for optimized recruitment decisions.
A Streamlit web application that enables organizations to collect, track, and resolve client queries efficiently and it is designed to bridge the communication gap between clients and support teams.
A data-driven stock analysis solution focused on Fifty 50 performance. Includes data cleaning, trend evaluation, volatility assessment, and key market metrics. Features interactive dashboards in Streamlit to support informed insights and decision-making.
Global Seismic Trends is a data-driven web application built using Streamlit, MySQL, and USGS Earthquake APIs to analyze worldwide earthquake activity. The project focuses on collecting, storing, analyzing, and visualizing seismic data to uncover meaningful earthquake patterns, risks, and trends over time.
Online Food Delivery Analysis is a comprehensive data-driven platform that analyzes customer orders, restaurant performance, delivery efficiency, and revenue trends. It provides actionable insights through interactive visualizations, helping businesses optimize operations, improve profitability, and enhance customer satisfaction.
Nutrition Paradox is an end-to-end data analytics dashboard that analyzes global obesity and malnutrition trends using WHO GHO data. It automates data extraction, storage in MySQL, and interactive visualization via Streamlit to highlight the coexistence of overnutrition and undernutrition worldwide.
Built a 5-page interactive Power BI dashboard analyzing 183M+ revenue and 99K+ orders to evaluate profitability by cuisine, city, and delivery performance.Created advanced DAX measures and KPI tracking, uncovering a 2.99 average delivery rating, highlighting a key opportunity for operational improvement.
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Learner
Check out my coding journey across different platforms
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I'm always interested in hearing about new opportunities and collaborations. Whether it's a project, a job offer, or just to say hello, feel free to reach out.