I'm

Md. Yeakub

A passionate Data Analyst

  • Name

    Md. Yeakub
  • DOB

    January 01, 1995
  • Mail

    mdyeakub.cse@gmail.com
  • Phone

    +880 1786352200
  • Address

    Feni, Bangladesh
  • Nationality

    Bangladeshi
About Me

Md. Yeakub

A passionate Data Analyst

Hi, I’m Md Yeakub, a Data Analyst with 2.5+ years of experience transforming complex data into actionable insights and scalable data solutions.

I specialize in SQL, Python, Power BI, and Tableau, with hands-on experience building ETL pipelines, automated reporting systems, and interactive dashboards that support real business decisions. My work has helped organizations improve efficiency, reduce reporting time, and uncover key performance trends.

Currently, I’m working at Jalalabad Metal Limited, where I focus on production, sales, and inventory analytics. I’ve developed dashboards used across multiple departments and implemented data-driven solutions that significantly improved operational performance.

I’m now actively growing toward a Data Engineering role, expanding my expertise in cloud platforms, large-scale data processing, and system design.

I enjoy solving real-world problems with data and continuously learning new technologies to build impactful, scalable solutions.

Combination of Skills & Experience

Experience

  • Data Analyst

    Save the Children
    Apr 2026 - Current

    • Analyzed production, sales, and inventory datasets to identify trends and deliver insights that informed operational and strategic decisions and Reduced reporting time by 30%.
    • Developed automated SQL reporting pipelines and Power BI dashboards improving KPI visibility and Built dashboards used by 9+ departments.
    • Collaborated with Odoo ERP and business teams to improve data quality, streamline reporting processes, and support data-driven operations

  • Data Analyst

    Jalalabad Metal Limited
    Feb 2026 - Mar 2026

    • Analyzed production, sales, and inventory datasets to identify trends and deliver insights that informed operational and strategic decisions and Reduced reporting time by 30%.
    • Developed automated SQL reporting pipelines and Power BI dashboards improving KPI visibility and Built dashboards used by 9+ departments.
    • Collaborated with Odoo ERP and business teams to improve data quality, streamline reporting processes, and support data-driven operations

  • Data Analyst

    Onoda.Inc
    Dec 2023 - Feb 2026

    •Interpreting data, and analyzing results using statistical techniques.
    •Developing and implementing data analyses.
    •Data collection systems and other strategies that optimize statistical efficiency and quality.
    •Acquiring data from primary or secondary data sources and maintaining databases

Education

  • Computer Science & Engineering

    Eastern University
    2018 - 2022
  • Diploma in Computer Techonolgy

    Feni Polytechnic Institute
    2014 - 2017
  • Secondary School

    Jafor Imam (B.B) High School
    2007 - 2013

Skills

SQL90%
Python80%
Power BI88%
Tebalue80%
Excel85%
BigQuery80%
Matplotlib65%
Seaborn50%
Hadoop60%
Spark60%

Certifications, Badges & Achievements

Data Analytics
Data Analytics

Amazon Fulfilment & Revenue Analytics Dashboard

Tools: Python (pandas), ETL, MySQL, Power BI, DAX, Power Query.

Implemented a Python-based ETL pipeline to clean, transform, and load Amazon sales data into a MySQL data warehouse, enabling scalable BI reporting and advanced analytics in Power BI.

Data Analytics
Data Analytics

AdventureWorks Internet Sales Analytics Dashboard

Tools: Power BI, DAX, Power Query

Designed and developed an interactive Power BI dashboard using the AdventureWorks dataset to analyze internet sales performance.

Data Analytics
Data Analytics

AdventureWorks Internet Sales Analytics Dashboard

Tools: Power BI, DAX, Power Query

Designed and developed an interactive Power BI dashboard using the AdventureWorks dataset to analyze internet sales performance.

Data Analytics
Data Analytics

Flipkart E-commerce Data Analysis

Tools: Excel, MySQL, Power BI

Conducted end-to-end analysis of Flipkart product data. Cleaned and structured datasets in Excel, performed complex SQL queries for trend analysis, and built interactive Power BI dashboards to visualize category-wise performance, pricing strategies, and customer ratings.

Data Analytics
Data Analytics

Swiggy Power BI Dashboard – APM Case Study

Tools: Power BI, Excel

Swiggy Power BI Dashboard – Analyzed Swiggy’s sales and customer behavior using Power BI, uncovering key insights on top cuisines, city performance, and improving forecasting accuracy by 30%.

Data Analytics
Data Analytics

iFlix Movie Streaming Analysis

Tools: Power BI, Excel, Power Query

This project presents an in-depth analysis of iFlix movie streaming data, focusing on user behavior, content insights, and engagement patterns. The interactive Power BI dashboard was designed to uncover trends across countries, platforms, demographics, and psychographics, enabling data-driven insights for business decisions.

What people say about me

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