About Me

Professional data scientist who takes pride in building models that translate data points into business insights. Skilled in machine learning, statistics, problem solving, and programming.

Developed different predi...ng, statistics, problem solving, and programming.

Developed different predictive models such regression( using linear and logistic) , ensembled(using decision tree, random forest and boosting), SVM and ARIMA models using machine learning technique. Also have knowledge of unsupervised machine learning technique and developed clustering model using k-means clustering.

Project Undertaken:

• Predicting Credit Card Default: Developed logistic regression model using machine learning technique to predict the credit card default.
• Property Price Prediction: Developed linear regression model using machine learning technique to predict the price of property which depends upon many factors.
• Sales Prediction: Developed a ARIMA model to predict the future sale of super store.
• Predicting Credibility of Customer: Developed an ensembled model using machine learning to predict the credibility of customer for giving them loan.
• Market Segmentation for Teens: Developed a clustering model (using k-means clustering) to segment teenagers who share similar taste on social networking site.
• SVM Model for Predicting Credit Card Default: Developed SVM model to classify whether customer will default on credit card payment or not.