A showcase of my work and skills
Hi! I’m Gangadhar, and I’d like to introduce myself. I recently graduated with a degree in Electronics and Communication from the National Institute of Technology. Throughout my studies, I developed a strong interest in data analysis, machine learning, and deep learning, gaining hands-on experience in areas like hardware, networking, and data visualization.
I have a genuine passion for programming, particularly with Python and SQL, which I’ve used extensively in my work. In my projects, I often rely on tools like Jupyter Notebook, Visual Studio Code, and Power BI to help me bring my ideas to life. To enhance my skills, I’ve taken the initiative to earn certifications in Data Science, Database Management, Python, and MySQL through NPTEL and HackerRank.
Recently, I've been working on projects involving data analysis and software development. For example, I worked on a project that involved analyzing sales data to uncover key trends and insights. In addition, I created a bank management system and a facial emotion detection system with convolutional neural networks. I appreciate using my analytical talents to unearth valuable insights and develop solutions that can help businesses succeed.
– Conducted an Exploratory Data Analysis (EDA) on a comprehensive sales dataset, focusing on identifying key sales trends, top-performing products, and valuable customers. – Utilized Python and popular data analysis libraries such as Pandas, Matplotlib, and Seaborn to clean, visualize, and analyze the data. – Generated actionable insights and recommendations to enhance sales strategies and improve business performance.
View Project– Designed and developed a comprehensive Bank Management System using Python and SQL, offering functionalities for managing customer accounts, transactions, and loans. – Implemented a secure login system with different user roles (admin and customer) to ensure data privacy and access control. – Conducted rigorous testing and debugging to ensure system reliability, performance, and security.
View Project– Developed a Facial Emotion Detection system using convolutional neural networks (CNN) to accurately identify and classify emotions from facial expressions. – Preprocessed and augmented a large dataset of facial images to improve model accuracy and robustness. – Employed deep learning frameworks such as TensorFlow and Keras to build, train, and evaluate the CNN model. – Achieved high accuracy in emotion classification, providing valuable insights for applications in user experience, security, and psychological research.
View Project– Created an interactive report to visualize sales data, enabling dynamic analysis and insights into sales performance and trends. – Designed user-friendly visualizations including bar charts, line graphs, tables and donut chart, providing a comprehensive view of sales metrics and regional performance.
View ProjectPython
SQL
Pandas
Numpy
Matplotlib
Plotly
Scipy
Seaborn
Data Visualization
MS Excel
Power BI
Machine Learning
Deep Learning
Statistics
Git