Aspiring Data Scientist experienced working with datasets, breaking down information and applying interpretations to complex business concerns. Proficient in distribution, predictive and hypothetical modeling.
● Credit Score Prediction
Business Objective: A company has collected basic bank details and gathered a lot of credit-related information. The management wants to build an intelligent system to segregate the people into credit score brackets to reduce the manual efforts. Given a person’s credit-related information, build a machine learning model that can classify the credit score.
Approach: Used the dataset that contains basic bank details and credit-related information of a company from Kaggle.
● Prediction Of Cost for Two People for A New Restaurants and Classification of Orders in Online and Offline mode.
Approach: Used the dataset of Zomato Bengaluru.
● Used Python for Data Cleaning, Feature Engineering, Exploratory Data Analysis (EDA).
● Performed statistical hypothesis testing on features to get an idea of whether features are impacting
Developed a Power BI Report for Call Centre that streamlined data analysis by 20%, allowing managers to spend more time on strategic decision-making.