A Data Enthusiast with hands-on skills and experience in MySQL and Python programming. Well versed with data mining, data visualization, and predictive analysis capable of translating data into meaningful insights. A task-driven individual currently looking forward to work in an esteemed organization, utilizing my skills and abilities.
Python libraries: Pandas , Numpy , sklearn, tensorflow
Prediction of salary based on class of the employee (02/2022 - 06/2022)
Objective : To predict the salary of an employee based on class and to generate a user-friendly graph.
Approach: A supervised machine learning model was implemented in this project
Outcome: The model is predicting 86% correct salary to people with the variance of 0.003
Skills Used: NumPy, Pandas Matplotlib, Seaborn, Statistics ScikitLearn
Credit card fraud detection in E-commerce (04/2022 - 05/2022)
Problem Statement: To detect fraudulent transactions of a credit card by detecting a change in shopping pattern of the user.
Approach: Apriori Algorithm was implemented in this project, an unsupervised machine learning technique. A web browser based application was developed
Outcome: The model is predicting 90% of detecting the credit- fraud-detection based on the customer purchase patterns.
Skills Used: HTML, CSS, asp.net, SQL, visual studio.
Clustering Model of online shoppers (03/2022 - 04/2022)
Problem Statement: To categorize customers into clusters based on their online activity on an e- commerce website
Approach: Agglomerative Clustering was used to categorize the customers.
Outcome: The model is predicting there are well segregated two different clusters where the silhouette score is 0.25 which is closer to 1.
Skills Used : NumPy, Pandas Matplotlib, Seaborn, Statistics ScikitLearn