DINESHKUMAR E

Detail-oriented and results-driven Data Analyst skilled in Python, SQL, Excel, Power BI, and Tableau, with hands-on experience in data analysis, visualization, and dashboard creation. Strong foundation in EDA and machine learning basics, with a focus on delivering actionable insights. Eager to apply analytical skills in an entry-level role to support data-driven business decisions

Artificial Intelligence: 10/2025 – 12/2025. Performed data cleaning, preprocessing, and exploratory data analysis (EDA). Used Python and SQL for data analysis and insight generation. Applied machine learning techniques to improve model performance. Created reports and visualizations for decision-making.

Automatic Street Light System using IoT – Published Paper | Developed an IoT-based smart lighting system using sensors to automatically control street lights, improving energy efficiency and reducing power consumption

• Analytical Thinking
• Problem Solving
• Communication Skills
• Critical Thinking
• Attention to Detail
• Time Management
• Decision Making
• Team collaboration

Medical Insurance Cost Prediction Technologies:   Python, Pandas, NumPy, Machine Learning ·

 Built a machine learning model to predict insurance costs based on age, BMI, smoking status, and region. Performed data cleaning, preprocessing, and exploratory data analysis (EDA). Developed predictive models to improve cost estimation accuracy. Visualized key insights using charts to support data-driven decision-making

Library Management System Technologies:  Python, SQL, Excel ·

Developed a database-driven system to manage book inventory, student records, and borrowing activities. Implemented book issuing, returning, and search functionalities using SQL for efficient data retrieval. Utilized Excel for data handling and reporting . Created dashboards to monitor book availability, due dates, and user activity, improving efficiency