Mitesh Bhanushali Email & Phone Number

Thane, Mh, In

Remote

Objective: Predict whether the customer is gone default the next month's credit card paymentDeveloped classification models like XGBoost, Random Forest, KNN, DecisionTree and SVM to predict if the customer is going to default the next payment.Executed EDA, performed SMOTE for class imbalance, Visualized distribution using Matplotlib and after train-test split created models and stratifiedtarget.Key Achievement: Achieved AUC ROC of 0.84 on test data using XGBoost model

Remote

Objective: Predict the Stock price of Yes bank and identify factors that drive the price.Developed regression models like Linear, XGBoost, KNN, Random Forest, SVM, also applied Time-Series models like FBProphet and Auto Arima.Carried out feature engineering and added Lag columns for the time-series model to find seasonality, trend, and correlation.Key Achievement: Achieved R2_Score of 0.91 using Random Forest and 0.98using Linear regression on lag dataset

Objective: EDA on Telecom dataset to gain insights regarding churn of customers.Exploratory Data Analysis (EDA) was done on Orange S.A. Telecom datasetcontaining information about 3000 customers. Outliers handling was done by using Inter Quartile Range (IQR) methodInsights were extracted from the dataset using the python's in-built NumPy, Pandas library and for visualization Matplotlib and Seaborn were utilized.Key Achievement: Customers that are canceling subscriptions are being charged more than the customer that is not canceling

Bachelor Of Engineering - Be, Information Technology

Xii, Science

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