Analytical Driven individual with a Proven track in leveraging data to drive informed Business Decisions With a solid foundation in Statistical analysis, Data visualization, Data Analysis and Predictive Modeling Using Various tools.
Overview
3
3
years of professional experience
1
1
year of post-secondary education
4
4
Certifications
Work History
Deputy Manager - Analytics
ICICI Bank
06.2022 - Current
Implemented ML models for Loan Default Prediction for Customer Profile
Built a customer segmentation model and incorporated it in various reports and analyzed it to help modify various credit card policies and suppress Poor-performing Structures
Built performance visualization dashboards of Product in Power BI to analyze the Trends,Performance
Managed unsecured Retail Asset Portfolio and performed deep analysis to identify high delinquency sectors
Automated monthly Business Report Leading Deep dive Analysis
Automated User Acceptance Testing of monthly data to perform
Quantity Surveyor
Shrusti Consultants
01.2018 - 01.2020
Education
Post Graduation(Data Science) -
Praxis Business School
Bengaluru, India
06.2021 - 05.2022
Bachelor of Engineering -
Visveswaraya Technological University
Skills
Python/Py Spark/R/SQL/Excel/Power BI/Tableau
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Certification
Master class on Data Analytics - Pan tech solutions.
Accomplishments
Awarded Best Project Award for the Capstone Project in Data Science.
Numerous Certifications in Data Science Domain/Data Science Tools such as Python, Sql, and R programs at the Intermediate level.
Multiple Pretrained Object detection models were Built including YOLO V3 and SSD.
Finally a Custom Trained model with Voice Process as a violation Indicator and Siren Alarming for Multiple Violation Across the Boundaries were made as they were tested.
A detailed video was made on the Presentation involving the sample Video working along with the other Use case of Social distance Violation Detection in Real Time.
Automation of EDA visuals in Python,
In hand-Auto Modelling of the EDA visuals in Python for the numerical/Categorical variables in Python was made to avoid the Iterative manual visualization of the EDA visualization in Python.
House price prediction in a locality,
Machine learning model Analysing Forward selection/Backward Elimination, Feature Engineering Variable Transformations were used for model building and the more accurate one was found among the various models for house Price Prediction.
Mortgage Relationship Manager at ICICI Securities Ltd (Transferred to ICICI Bank Ltd.))Mortgage Relationship Manager at ICICI Securities Ltd (Transferred to ICICI Bank Ltd.))