Movie Rating Prediction with Python Built a movie rating prediction model using IMDb data for Indian movies.Cleaned and preprocessed data, handling missing values and creating features from genre, director, and actor information.Utilized regression techniques to achieve accurate movie rating predictions.Tools: Python, Scikit-learn, Pandas IRIS Flower Classification Developed a machine learning model to classify Iris flower species based on petal and sepal measurements. Cleaned and preprocessed data, employing logistic regression for high-accuracy classification. Utilized Python, Scikit-learn, and Pandas for data analysis and model building. Sales Prediction Using Python Developed a sales prediction model in Python to optimize advertising strategies. Performed data analysis, preprocessing, and leveraged regression techniques for informed decision-making. Used Scikit-learn, Pandas, and NumPy for data manipulation and model development.

I worked as a Intern in the domine of Data science. As a Data scientist, have to collect data from sales, marketing and finance departments to use in establishing organizational structure. Then organize, extrapolate, and disseminate data across departments to be used for drawing conclusions about the success of current methods. And finally present detailed reports about the meaning of gathered data to members of management and help them identify scenarios utilizing modifications in the data.