Engaged in the field of data science with a focus on machine learning algorithms and practical applications. My experience as a Professional Esports Athlete has sharpened my strategic and analytical skills, and I am open to Data Scientist / Data Analyst intern or full-time roles, as well as collaboration on data science projects. Currently involved in projects that analyze and visualize data. Passionate about developing predictive models and learning advanced techniques. Committed to using data-driven insights for decision-making. I previously connected with the gaming community as Maxkash.
0 + Projects completed
Motivated and detail-oriented aspiring Data Analyst / Data Scientist with a strong foundation in data analysis, machine learning, and statistical methods. Recently engaged in projects that focus on data visualization and predictive modeling. Eager to leverage analytical skills and collaborate on innovative data-driven solutions
Feynn Labs is an Artificial Intelligence company currently focusing on AI integration in Small/Medium Businesses and providing high quality education in AI/Machine Learning.
Brisa Technologies is a premier IT company offering a wide range of new age software products, services and solutions.
A dynamic and innovative technology company committed to transforming businesses through cutting-edge IT solutions.
Prodigy Infotech's mission is to create innovative and accessible learning solutions that empower people of all ages and backgrounds to achieve their full potential.
Cognifyz Technologies is a technology company that provides software solutions for businesses. The company offers a range of products and services, including artificial intelligence (AI), machine learning (ML), and data analytics tools.
Grade: N/A.
Grade: Batch Topper 92.8%.
Below are the sample Data Analytics projects on SQL, NLP, Python, Power BI & ML.
This application allows you to predict the prices of various commodities, including Cars 🚗, Houses 🏡, Laptops 💻, and Shoes 👟. The app uses machine learning models to estimate the price based on the data you input.It is an end to end solution deployed vie streamlit , link to it available on my github page.
Completed a comprehensive end-to-end project using Python, SQL, and Power BI, starting from scratch. Performed the ETL process by web scraping Olympic data, transforming it with data cleaning and aggregation , and loading it into a SQL database . Created a summary report, PowerPoint presentation, and an interactive Power BI dashboard, providing a clear and actionable overview.
Built an interactive Power BI dashboard to analyze Diwali sales data from Kaggle. The dashboard provides insights into customer demographics, product categories, and regional performance, helping businesses identify trends and make data-driven decisions for future campaigns.
Developed an end-to-end email classifier using TF-IDF vectorization and logistic regression, deployed via Streamlit for real-time predictions. Performed ETL to clean, transform, and load data, ensuring smooth model development and deployment. Created a summary report and documentation to enhance usability.
Developed a predictive model using multivariate logistic regression to identify customer churn patterns in a telecom firm. Tools used are Python, Pandas, scikit-learn, Matplotlib, and Jupyter Notebook, methodology followed by training and evaluating the model using metrics like accuracy, precision, and recall. Visualizations provided insights into customer behavior.
This project is build using a multiple linear regression model to predict car prices based on various attributes such as engine size, horsepower, fuel type, and body style. Using the dataset, the model identifies key factors influencing prices, helping businesses like Geely Auto plan their market strategies for entering the U.S. market.
Moodify is a text sentiment analysis tool that uses TF-IDF for text vectorization and a machine learning model to classify text as positive, negative, or neutral. Users can input text, and the model classifies the sentiment. The end-to-end solution is hosted online for easy access. Check out the live demo of website through my GitHub.
It Converts the image to grayscale to match the input format of the MNIST dataset , Resizes the image to 28x28 pixels, the size expected by the model,Uses SVM classifier to predict the digit based on the processed image,displays the predicted digit on the app.
Below are the details to reach out to me!
Bhopal, India