I am a passionate Data Analyst dedicated to transforming data into actionable insights. Skilled in machine learning, predictive modeling, and data visualization, I leverage tools like Python, Pandas, TensorFlow, and Tableau to build robust models and drive data-driven decision-making. My goal is to apply advanced analytics and AI techniques to solve real-world problems and create impactful solutions that accelerate innovation.

I'm Mohammad Shahil, a Final year B.Tech Computer Science student at Amity University Patna, passionate about Al and Data Science. I have hands-on experience in machine learning, data analysis, and predictive modeling, using techniques like linear regression, decision trees, and K-means clustering. I'm proficient in data visualization with tools like Matplotlib, Seaborn, and Tableau, and skilled in Pandas and NumPy for data manipulation. I've also explored deep learning using TensorFlow and Keras. Alongside my data analyst work, I have a strong foundation in front-end development. I build dynamic, responsive web applications using React.js, Tailwind CSS, CSS3, JavaScript and HTML5 code. I believe in the power of collaborative problem-solving and continuous learning in the rapidly advancing fields of Al and Data Science. I'm excited to apply my skills to real-world projects that create innovative solutions in industries like healthcare, finance, and technology. Through internships, research, or personal projects, I aim to further develop my expertise and contribute to the future of Al-driven advancements.
june 2023 - July 2023
Worked on IoT , data collection, analysis, and visualization using Python and ML techniques for smart system prototypes
PandasNumpyMatplotlibSeabornAug 2023 - Aug 2023
Working on Drones and its uses, and their applications.
AerodynamicsRoboticsPropulsion SystemRotars
A fully functional e-commerce website with features like product listing, shopping cart, and user authentication.
ReactJsjavascriptTailwindCSSNode.jsMongoDB
A live weather forecast application discoverable using city name.
ReactJsCSSJavaScriptOpenweatherAPI
his project applies various machine learning algorithms to classify tumors as benign or malignant based on features extracted from digitized images of breast masses (Breast Cancer Wisconsin Diagnostic dataset).
PandasMatplotlibSeabornScikit-learn
Conducted a comprehensive data analysis project combining global COVID-19 statistics with the World Happiness Report. Used Pandas and NumPy for data cleaning and transformation, and Matplotlib and Seaborn for visualizing trends and correlations.
PandasNumpyMatplotlibSeaborn
A platfort for generating Ai images based on given discription.
ReactOpenAIDALL-EAPI-keyJavascript