COMPUTER SCIENCE ENGINEER

I Turn Data
Into Insights.

Computer Science Engineer focused on SQL, Python and BI — building practical analyses, dashboards and data-driven solutions.

SQL Python Power BI Excel
Open
01
SQL Query & transform
02
Python Analyze & automate
03
Power BI Visualize & explain
04
Excel Prepare & explore
ANALYTICS PROFILE

Me, in Data

A visual snapshot of how I learn, analyze and work with data.

TOOLKIT

What I work with

01
SQL Query, filter and analyze structured data.

Current focus — not a formal proficiency score.

JOURNEY

From code to insights

02
CURRENT FOCUS
CSE

Building a strong foundation in computer science, logic and problem-solving.

01
Learning → Building → Analyzing
MY APPROACH

How I work with data

03
01

Raw Data

Understand

→
02

Clean

Prepare

→
03

Analyze

Question

→
04

Visualize

Explain

→
05

Insight

Decide

TECH STACK

Tools I Use to Work With Data.

FEATURED WORK

Projects that demonstrate my skills.

01

Customer & Business Performance Analytics

Python • SQL Server • Power BI • DAX

Customer & Business Performance Analytics

An end-to-end retail analytics project analyzing sales, customers, products, returns, time trends and geographic performance.

  • ✓ Sales & revenue performance analysis
  • ✓ Customer & product analytics
  • ✓ Returns & geographic analysis
  • ✓ Interactive Power BI dashboard
Python Pandas SQL Server Power BI DAX
02

Smart Learning Progress Tracker

SQL • Python • Excel • Power BI

Smart Learning Progress Tracker

An end-to-end education analytics project that transforms LMS data into actionable insights about student performance, engagement and academic risk.

  • ✓ Student performance analysis
  • ✓ LMS engagement analysis
  • ✓ Academic risk identification
  • ✓ Power BI decision-support dashboard
SQL Python Excel Power BI Pandas
03

Power BI Sales Analytics Dashboard

Power BI • DAX • Power Query

Power BI Sales Analytics Dashboard

An interactive business intelligence dashboard designed to analyze sales performance across products, categories, customers, countries and time.

  • ✓ Sales & revenue KPI tracking
  • ✓ Product & category analysis
  • ✓ Monthly growth analysis
  • ✓ Interactive business filters
Power BI DAX Power Query Data Visualization
04

QueryCraft SQL

SQL Server • SSMS • Git • GitHub

QueryCraft SQL

A structured SQL practice repository built with Microsoft SQL Server to strengthen database fundamentals, solve practical problems and prepare for Data Analyst interviews.

  • ✓ SQL fundamentals & business queries
  • ✓ Aggregate & string functions
  • ✓ CASE WHEN & conditional logic
  • ✓ Structured interview preparation
SQL Server SSMS Git GitHub
CONTACT

Let's Connect.

I'm looking for opportunities where I can solve practical problems through data, analysis and technology.