With the latest Data Science and Artificial Intelligence, Machine Learning seems to take a new shape and direction towards offering efficient performance. It includes new statistical algorithms to solve current and future dilemmas. The domain has several subdivisions; data preparation and exploration, feature engineering, data representation, data visualization, data presentation, and predictive analytics. I will also help you with medical research. My skills are: Skills in Python a) Pandas b) Numpy c) Matplotlib d) Seaborn e) Scikit-learn Data Pre-Processing: a) Data imputation b) Dispensing missing data c) Categorical data e) Techniques of feature engineering f) Class labeling Data Visualization a) Matplotlib b) Tableau Machine Learning a)Decision Tree b)Linear Regression c)Logistic Regression Classifier d)KNN e)Random Forest Classifier f)Support Vector Machine Classifier and Regressor g)CNN h)Topic Modeling We transform data to give insights that help your business grow. We dissect the problem and apply data pre-processing to make the data valuable. We use the data visualization techniques such as tableau and Matplotlib to get insights into data.