SANDESH PAL

Worked on various projects during my data scientist intern journey at Codsoft. The projects were Titanic Survival Prediction, Movie Rating Prediction Using KNN, and Iris Flower Classification.

Worked on a project Based On Stock Market Analysis. The objective of the analysis was to predict an item when sold, what is the probability that a customer would file a fraudulent / Genuine warranty and to understand important factors associated with them. Implemented Data Preprocessing techniques for making the data insights useful. Built various regression and classification algorithms such as Linear Regression, Decision Tree, Random Forest, XGBoost, and SVM. We went further with the Stacked LSTM method. We got a Training RMSE of 0.014 And a Testing RMSE of 0.020. We Created a Dashboard with Python Using Streamlit.

Worked on a project which consisted of Forecasting inpatient beds of hospitals during the covid-19 situation. Implemented Data Preprocessing techniques for making the data insights useful. Built various regression and classification algorithms such as Linear Regression, Decision Tree, Random Forest, XGBoost and SVM. Developed a model predicting whether the no of the patient is genuine using Random Forest. We used techniques like ARMA, ARIMA, and SARIMA for model evaluation. Deployed the model using Flask as an API. Developed an application using Flask which predicted whether the claim was fraud or genuine. We got an accuracy of 95% while we developed the forecasting model for checking the availability of beds in hospitals.