Customer Analysis
An analytical project focused on customer behavior, sales performance, segmentation and regional trends.
I transform data into meaningful insights using Python, SQL, Excel, Power BI and data visualization. My focus is on solving business problems through clean analysis and practical dashboards.
I am a Data Analyst who enjoys turning messy datasets into clear and useful insights.
I work across data cleaning, exploratory analysis, visualization and dashboard development. I enjoy understanding what the data is saying and then presenting it in a way that makes sense to people beyond the technical side.
My projects focus on practical problems such as customer behavior, data quality and mathematical modelling.
Find patterns and meaningful insights.
Turn analysis into understandable dashboards.
Connect insights with practical decisions.
Data analysis, automation and exploratory data work.
Querying, filtering, aggregations, joins and analytical logic.
Building dashboards and visual stories from complex datasets.
Data preparation, analysis and business-focused reporting.
An analytical project focused on customer behavior, sales performance, segmentation and regional trends.
A practical application designed to identify missing values, duplicates, inconsistencies and other common data quality problems.
A simulation exploring how susceptible, infected and recovered populations change over time.
Interactive dashboard for exploring customer behavior, sales performance, segmentation and regional trends.
Interactive application for identifying missing values, duplicates, inconsistencies and other data quality issues.
Mathematical simulation showing how susceptible, infected and recovered populations change over time.
HackerRank
Verified certification demonstrating intermediate SQL skills including complex queries, joins, subqueries, aggregations, and database operations.
HP LIFE
Certificate of completion covering data science and analytics practices, methodologies, tools, and data-driven approaches for businesses.
CAN YOU SPOT THE PROBLEM?
Every dataset has a story. Sometimes it also has a few problems hiding inside it.
You found the problems hidden in the data. That's the first step toward reliable analysis.
Looking for a Data Analyst, internship opportunity, or someone who enjoys solving problems with data? I'd be happy to connect.