Resume
3 Years of Experience
Education
2023
Western Illinois UniversityMSc in Applied Statistics and Decision Analytics
Relevant modules: Statistical Software for Data Management and Decision Making (Python), Data Visualization, Econometrics, Regression, R Programming, etc. Top 5% of my class. Member, The Honors Society of Phi Kappa Phi.
2023
Western Illinois UniversityPost Baccalaureate Certificate in Business Analytics
Equipped with skills and knowledge to apply data analytics techniques to solve complex business problems.
20**
Federal University of Technology OwerriB.Tech in Information Management Technology
Graduated top 10 percent in the class.
Experience
May 2023 - Nov 2023
AmazonBusiness Intelligence Engineer
Designed the ETL pipeline, wrote SQL queries to monitor Alexa's friction rates, and built a Tableau dashboard to enable key metric tracking.
Analyzed user interaction data with Alexa Assistant, focusing on usage patterns, command types, user preferences, and engagement metrics.
Identified trends and insights related to Alexa usage, feature adoption, and user behavior.
Created weekly and monthly business reports and dashboards that tracked these KPIs, providing actionable insights to stakeholders.
Monitored and reported on the adoption rates of new features and updates in the Alexa Assistant.
Conducted cohort analysis to understand how different user segments interacted with various features.
Led a research and development initiative that facilitated the team's migration from a legacy BI tool to a newer, more capable one with enhanced self-service features.
Drove the successful implementation of machine learning-powered anomaly detection and natural language query (NLQ) functionalities into a QuickSight dashboard, empowering stakeholders to make data-driven decisions with heightened precision.
Presented data findings and recommendations to stakeholders and higher management.
Feb 2017 - Dec 2021
***** DigitalProduct Analyst
Managed business requirements, and project planning, and addressed technical challenges in delivering analytics projects for the loan application, focusing on user behavior, loan application trends, and repayment metrics.
Collaborated with cross-functional teams, including development, marketing, and customer service, to conduct comprehensive analyses of the loan app’s usage data, leading to enhanced user experience and product optimization.
Utilized Thoughtspot Analytics to develop insightful dashboards that track user engagement, loan disbursement rates, and financial performance metrics, aiding in strategic decision-making for the loan app.
Spearheaded automation initiatives in data processing for the loan app, significantly reducing manual effort in data validation and improving efficiency in credit risk assessment.
Generated and quality-assured reports on loan app performance using Thoughtspot Analytics and Tableau, coupled with SQL to ensure data accuracy and consistency.
Led the transition of customer loan data from an SQL Server to an Oracle database, utilizing the SDLC process.
Designed and executed SQL queries for in-depth analysis of large-scale data, including user demographics, loan application patterns, and repayment histories.
Conducted training sessions for various departments, focusing on leveraging insights from Tableau and Thoughtspot Analytics to understand customer behavior and improve user interactions with the loan app.
Performed ETL operations to integrate diverse data sources into a unified view, creating comprehensive dashboards and reports in Tableau to support key decision-making in loan approval processes.
Implemented an automation script for data cleansing in the loan app, correcting data inconsistencies and reducing manual data correction efforts by over 60%.
Certificates
Statistical Skills
Descriptive Statistics
95%
Inferential Statistics
75%
Hypothesis Testing
85%
Regression Analysis
90%
Probability Theory
80%
Time Series Analysis
86%
Data
HTML / CSS
100%
SQL
90%
R Programming
90%
Python
85%
Tableau
70%%
SAS
50%