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Data Scientist Helping in making Data Driven Decisions | Risk | Machine Learning | Deep Learning | Python
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Aditya Birla Finance
Data Scientist
June 25, 2026 – Present
credit-risk-model-logistic-regression
April 17, 2022 – April 17, 2022
Step by step process of building a credit risk model using logistic regression algorithm and also computing EAD (Exposure at default) and LGD (Loss given default)
View ProjectICC_World_Cup_Prediction
April 8, 2020 – May 1, 2023
This application will basically predict the winner of a match based on previous statistical data.
View ProjectCOVID-19-Tester-using-Machine-Learning
March 29, 2020 – April 16, 2022
A Random Forest model for testing a person for COVID-19 based on his/her travel history,disease history,present symptoms,region,age and gender. This model helps for detecting the asymptomatic patients too.
View ProjectA-Novel-Approach-for-Network-Intrusion-Detection-using-Probability-Parameter-to-Ensemble
March 8, 2020 – April 16, 2022
In this project, a novel approach is proposed which ensembles machine learning models based upon their confidence for a particular decision
View ProjectProfile-Extractor-using-OpenCV-and-SQL
January 18, 2020 – January 18, 2020
This project is about detection of face and extracting profile info of that person.The profile may be social media profile and the logs are saved in database.
View ProjectIIT-assignments-on-Deep-Learning
January 18, 2020 – January 18, 2020
Solved Deep learning assignments of IIT given by my professor.It contains in detail coding of neural network without using deep learning library for it.
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and academic, indicating a foundational interest in data science. However, the lack of diverse team projects or contributions to open-source initiatives limits the assessment of cultural fit for collaborative environments. The single professional experience listed has a future start date, offering no current insight into professional work ethic or team integration.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. Psychometric test scores are 0, providing no insight.