Experiences

My Professional Experience

Data Management Consultant

Tools & Solutions - Internship | JUN 2025 - Present

Managed data governance initiatives, implemented data quality processes, and optimized reporting dashboards.

Skills

Some of my technical and professional skills

Data Governance

Establishes policies and procedures to ensure proper use, quality, and compliance of data.

SQL

Proficient in querying and managing relational databases.

Python

Skilled in scripting, data manipulation, and automation.

Excel

Proficient in organizing datasets, performing analysis with functions and formulas, and creating clear reports and dashboards.

Power BI

Skilled in building dashboards, reports, and transforming data into meaningful insights.

UI/UX Design

Designs user interfaces and creates prototypes using Figma.

Certificates and Courses

My professional certifications and completed courses

Big Data Certificate Badge
Certificate Badge
Cisco Certificate Badge

Projects

Check out some of my personal projects

Professional Certification Beneficiaries Data Analysis

Professional Certification Beneficiaries Dashboard

Collected, cleaned, and analyzed data from the Open Data Platform on professional certification beneficiaries for 2021–2024 to extract insights and support decision-making.

Power Query DAX Excel Power BI

Evaluation of Distributed Data Processing Systems on AWS

This project focuses on deploying and benchmarking Big Data frameworks on the cloud. I configured Amazon EMR clusters to process a large dataset of over 19 million records (BoardGameGeek reviews) stored in Amazon S3. The objective was to evaluate and compare the performance of Apache Hadoop and Apache Spark by executing Python processing jobs. The analysis covered key metrics such as execution time, resource utilization (CPU/Memory), and data handling capabilities across distributed nodes.

AWS EMR S3 EC2 Apache Hadoop Apache Spark Python SQL
Online Sales Transactions Dataset

Online Sales Transactions Dataset

A comprehensive data analysis project that started with cleaning and processing raw global sales transaction data from Kaggle using Python. This was followed by the development of a dynamic dashboard in Power BI to visualize Key Performance Indicators (KPIs), identify sales trends, and highlight strengths and weaknesses across various product categories.

Python Pandas Power BI Kaggle