CHARAN H

[email protected] • 7708852099 • Tirupattur, Tamilnadu
LinkedIn: https://www.linkedin.com/in/charan-h-a4b41a2bb • GitHub: https://github.com/charan2704-tc

PROFESSIONAL SUMMARY

Motivated and detail-oriented B.Tech Information Technology student with a strong interest in Data Analytics, Python, Machine Learning, and Power BI. Skilled in analyzing data, creating interactive dashboards, and developing data-driven solutions using Python. Proficient in HTML and committed to continuously expanding technical knowledge through hands-on projects and self-learning. Eager to apply analytical and problem-solving skills in internships or entry-level roles while contributing to data-driven decision-making

EDUCATION

Bachelor of Technology (B.Tech) in Technology
01/2023 - 01/2027
PSV college of engineering and technology (Autonomous)-Krishnagiri,Tamil Nadu GPA: 8.01
Secondary (Class 10)
01/2021
Shephersds Matric Hr Sec School State Board GPA: 82%
Higher Secondary (Class 12th)
01/2023
Shepherds Matric Hr Sec School State Board GPA: 90%

SKILLS

PROJECTS

Ai_Based Price Prediction System
Technologies: Python, Numpy, Pandas, SKIkit-learn, Jupiter Notebook
• Developed a price prediction system using Python and machine learning libraries such as Numpy, Pandas, and Scikit-learn
• Implemented data preprocessing and regression algorithms to predict prices accurately
• Utilized Jupyter Notebook for project development and visualization
Sales Data Analysis Dashboard
Technologies: Python, Pandas, Excel, PowerBi
• Created an interactive sales data analysis dashboard using Python, Pandas, Excel, and Power BI
• Visualized key sales metrics and trends to support business decision-making
• Enhanced data accessibility and reporting efficiency
Employee Salary Prediction Using Machine Learning
Technologies: Python, Pandas, Numpy, Scikit-learnMatplot, Jupiter Notebook
• Developed a machine learning model to predict employee salaries using Python and libraries such as Pandas, Numpy, and Scikit-learn
• Applied data preprocessing and regression techniques to build the prediction model
• Documented project in Jupyter Notebook for reproducibility

CERTIFICATIONS

Python Programming
Data Analytics with Python
Microsoft Power BI
SQL for Data Analysis