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Gokulakrishnan Selvarajan

Gokulakrishnan Selvarajan

Certified

Senior Data management analyst

Moody's Analytics | Bengaluru

Technologies

My Portfolio Highlights

My New Certification

Data Scientist Associate

My New Certification

Data Engineer Associate

My New Track

Data Analyst

Aspiring Data Professional | Finance Expert turned Data Enthusiast

My Work

Take a look at my latest work.

github

Predicting CRS Scores for Canada Express Entry Using Linear Regression

RExcelPower BI
github

Text Analytics on Chick-Fil-A google reviews

RExcelPower BI
DataLab

Predicting Insurance Charges using regression analysis

PythonSpreadsheetsExcel
DataLab

Clustering Antarctic Penguin Species

PythonSpreadsheetsPower BI
DataLab

Exploring Airbnb Market Trends

PythonSQLExcel
DataLab

Using Logistic Regression to classify Agriculture crops

PythonSQLSpreadsheets
DataLab

Hypothesis Testing with Men's and Women's Soccer Matches

PythonTheoryExcel
DataLab

Customer Analytics: Preparing Data for Modeling

PythonSQLSpreadsheets

My Certifications

These are the industry credentials that I’ve earned.

Data Engineer Associate

Data Engineer Associate

Data Scientist Associate

Data Scientist Associate

Python Data Associate

Python Data Associate

Other Certificates

ALTERYX - Alteryx Designer Core Certification

DataCamp - Microsoft Azure Fundamentals

DATAQUEST - Analyzing Data with Microsoft Power BI

Udemy - VBA Programming in Excel

CFA Institute, USA - Level 1 Chartered Financial Analyst

Udemy - The Ultimate MySQL Bootcamp

DataCamp Course Completion

Take a look at all the courses I’ve completed on DataCamp.

My Work Experience

Where I've interned and worked during my career.

Moody's Analytics | Jun 2022 - Aug 2023

Senior Data Management Analyst

Monitored and optimized financial data workflows, using advanced tools to extract, analyze, and validate critical data. Partnered with developers to enhance applications, design data quality checks, and ensure seamless data delivery for business insights.
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Deutsche Bank | May 2019 - May 2022

Senior Data Analyst

Collaborated with loan servicers to process and analyze large datasets, ensuring accurate monthly updates of collateral-level data in proprietary databases. Spearheaded data integrity initiatives by resolving long-term issues in financial models, improving efficiency and accuracy across RMBS deal portfolios. Streamlined data workflows by validating and loading loan-level data into internal systems, enabling timely and accurate reporting for structured financial products.

Bank of New York Mellon | Apr 2018 - May 2019

Data Management Analyst

Developed and validated financial models, ensuring accurate data analysis and reporting. Performed stress testing of waterfall models, analyzing various scenarios by adjusting prepayment rates, default rates, and benchmark interest rates to assess model reliability.

ERNST AND YOUNG | Jul 2017 - Apr 2018

Analyst

Built and validated cash flow and collateral models to analyze payment sequences, collateral quality, and concentration tests, ensuring accurate insights for structured finance transactions. Developed data-driven models to monitor over-collateralization, interest coverage, and collateral quality tests, supporting informed decision-making for structured finance deals.

ERNST AND YOUNG | Jan 2017 - Apr 2017

Consultant | Student Intern

Performed due diligence by analyzing key data points such as ratings, spreads, and domiciles, ensuring the accuracy and completeness of structured finance data models.

My Education

Take a look at my formal education

Post Graduate Certificate in Predictive AnalyticsConestoga College | 2025
Post Graduate Certificate in Financial TechnologyConestoga College | 2024
MBA in FinanceAlliance School of Business | 2017
Bachelors in EngineeringAnna University | 2015

About Me

Gokulakrishnan Selvarajan

Data analyst with expertise in Python, SQL, Power BI, R, Tableau, and predictive analytics, skilled in financial modeling, data cleaning, and visualization, with experience analyzing complex financial datasets and building data-driven insights.

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