DeveloperAnalystBuilder

I build digital experiences and turn ideas into meaningful solutions.

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CodeDataCreativity

About

My path into technology started with IT Engineering — and somewhere along the way, my attention shifted from just building things to understanding what's happening inside them.

That shift is what pulled me toward data analytics. I became interested in the patterns and insights hidden within data, and how the right analysis can turn raw information into clarity. I've worked with SQL, Excel, Power BI, and Python across data cleaning, analysis, reporting, and visualization.

My development background in databases and web technologies gives me a broader understanding of where data comes from and how systems work behind it. Through internships and projects in e-commerce analytics and customer churn, I've learned that the real value isn't in the data itself, but in the insights you can uncover from it.

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Capabilities

Data Analytics

SQL · Advanced Excel · Power BI · Power Query · DAX · Python · Data Cleaning · Data Visualization · Reporting & Insights

Development

JavaScript · PHP · React / Next.js · Node.js · MySQL · REST APIs

Problem Solving

  • DataInsights
  • Business ProblemSolution
  • AnalysisDecision
  • IdeaWorking Product

Work

  1. E-Commerce Sales & Performance Analytics

    Problem
    Raw Excel sales data with no structured way to track performance, trends, or customer behavior.
    What I Built
    An end-to-end analytics pipeline — Python (Pandas, NumPy) to clean and preprocess the data, SQL in MySQL for joins, aggregations and business-focused queries, and DAX-powered Power BI visualizations to surface KPIs and sales trends.
    Technologies
    Python · MySQL · SQL · Power BI · Excel
    Outcome
    A working dashboard turning raw sales data into visible KPIs, trends, and business performance insights.

  2. Customer Churn & Retention Analytics

    Problem
    7,000+ customer records with no clear visibility into churn patterns or which segments were at risk.
    What I Built
    Cleaned and transformed the dataset in Power Query, then built DAX measures and calculated columns to track churn rate, tenure, and monthly charges across an interactive Power BI dashboard.
    Technologies
    Power BI · Power Query · DAX · Excel
    Outcome
    A dashboard analyzing churn by contract, tenure, and services — surfacing high-risk customers and retention-focused insights across 7,000+ records.

  3. Smart Online Voting System

    Problem
    Traditional voting workflows can involve manual voter management, candidate administration, and result handling, making the process difficult to manage efficiently.
    What I Built
    A web-based voting platform with workflows for voter registration, authentication, candidate management, vote submission, and result processing.
    Technologies
    Next.js · React · Node.js · Mongodb · JavaScript · REST APIs
    Outcome
    A centralized platform that streamlined the voting workflow from user authentication and candidate management to vote submission and result processing.

How I Work

  1. Understand

    Understand the business problem, requirements, and questions the data needs to answer.

  2. Prepare

    Clean, validate, structure, and transform raw data into reliable datasets.

  3. Analyze

    Use SQL, Excel, Python and analytical techniques to identify trends, patterns, relationships and anomalies.

  4. Visualize

    Turn findings into clear dashboards and reports.

  5. Deliver

    Convert analysis into clear, actionable insights.

Let's turn data into something useful.

Whether it's a dataset that needs exploring, a dashboard that needs building, or a problem that needs solving — I'm interested in working on meaningful challenges.

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