Yunus Miah

Data Enthusiast

Highly experienced in Data Analysis and Data Engineering

Contact Me

About Me

My Introduction

Yunus is a seasoned Data Analyst with more than 2.5 years of experience in sales data analytics. He utilizes advanced statistics, mathematics, Machine Learning, and forecasting to extract actionable insights from complex datasets. Proficient in Power BI and advanced DAX, Yunus designs sophisticated visualizations and robust ETL pipelines. His cross-sector experience in healthcare, finance, distribution, and retail supports data-driven decision-making and enhances business performance.

2.5+ Years
15+ Completed
Projects
3 Company
Worked

Skills

My Tecnical Level

Data Engineering

More than 2.5 year

Data Wrangling

85%

Data Warehousing

80%

Extract, Transform, Load

85%

Data Analysis

More than 2.5 years

Data Cleaning

85%

Data Preparation

90%

Data Modeling

85%

Data Visualisation (e.g. matplotlib, pyspark, ...)

90%

Data handling/analysis (e.g. numpy, scipy, pandas, ...)

90%

Programming Languages

More than 6 year

SQL

90%

Python

90%

Java

85%

Tools & Techniques

More than 5.5 years

Azure Logic Apps

85%

Azure Databricks

85%

Azure Data Factory

90%

Microsoft Excel

90%

Microsoft Power BI

90%

Machine Learning

90%

Git

85%

Qualification

My Personal Journey
Education
work

Information and Communication Engineering

BUP
2016 - 2019

Sales Data Analyst (Expert)

Shop Up (Mokam)
October, 2023 - Present

Associate Data Analyst

AponTech Ltd
December, 2022 - September, 2023

Data Analyst Intern

Data Works Ltd.
(A Concern of Data Crafters LLC)
May, 2022 - November, 2022

Projects

Most recent work

Sales Sight 360 Dashboard

Sales Sight 360 is a powerful analytics platform that unifies real-time sales data, offering insights into key metrics, trends, and KPIs. It streamlines decision-making, boosts performance, and supports strategic actions with advanced visualization tools, optimizing your sales strategy for superior results.

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Rise of Discipline (RD)

Discipline is crucial for success in distribution, as it's directly impacting the product management, sales, people management, and financial management. Embracing disciplined practices enhances performance and drives operational excellence through increased responsibility and precision.

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Retail Customer Analytics

This Retail Customer-centric analysis examines purchasing patterns with the time series components, customer segmentation, and forecasting models for behavior and sales. It integrates key sales metrics and considers variables like customer demographics, product attributes, gender, and outlet specifics.

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Retail Customer Metrics

This analysis targets retail customer segmentation to reveal purchasing preferences and favored offers, assesses sales basket size, and compares outlet performance, uncovering consumer behavior patterns for targeted marketing and operational improvements.

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Customer Cohort Analysis

This cohort study assesses churn rate, revenue, customer basket size, and spending patterns, providing key insights for calculating Customer Lifetime Value (CLV). It also includes RFM (Recency, Frequency, Monetary) analysis to enhance customer insights.

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Healthcare Analysis Report

It provides a comprehensive view of key performance indicators (KPIs), offering real-time insights into patient outcomes, operational efficiency, and service quality to support data-driven decision-making and continuous improvement in healthcare delivery.

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Airlines Customer Analytics

In the Maven challenge focused on the airline industry, I analyzed operational efficiencies, customer service, and technology. Based on this analysis, I provided recommendations to enhance and streamline airline operations.

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Visualization Of Charts

It provides a thorough summary of the charts and their applications, explaining how each visual representation enhances data analysis and decision-making. This includes details on chart types, their specific use cases, and the insights they offer.

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Playing with ETL

The Data will be transformed via Azure Data Factory and stored in SQL Server, sourced from GitHub, SharePoint, and SQL Server. This method ensures efficient processing, smooth integration, and optimal organization. To know more about it, click here .

Demo

Blog

My Article

The Road to Power BI Datamart from Data

Data is all around us. Do you know how much data we currently have? 90% of the data in existence now was produced in the previous two years. Keep reading.....

Power BI Datamart Illustration

Let's see Power BI Illustration how i have seen with my eyes. You can find it here

Power BI Visualization Charts

Data is present everywhere. But until you see them clearly, it won't provide you any new insights....keep reading

Power BI Dashboards

If you read my essay on Power BI visualization charts, I believe you realize the importance and....keep reading

Health Care Analytics Case Study

Demands to cut costs, improve coordination and outcomes, deliver more with less, and be more patient-centric present....keep reading

Approaches for maximizing the use of Excel with Power BI

Due to its ability to spot trends and save time, Excel is great for organizing data....keep reading

Why Every Power BI Data Analyst Needs a Calendar Table (And How to Create One)

As a Power BI Data Analyst, having a robust calendar table is....keep reading

Big Problem, Small Solution: Using USERELATIONSHIP to Solve Performance Issues in Power BI

In the world of data analysis, especially in complex....keep reading

Unlocking Sales Insights: Analyzing TADS, ADS, Shortfall, RADS, and Projections in Distribution Sales

In today’s fast-paced distribution sales environment....keep reading

Solving Inventory Woes at Better Buys Wholesale: A Power BI DAX Journey

In today’s blog, we’re diving into one....keep reading

Contact Me

Get in touch

Call Me

+880 1707 803195

Mail Me

yunus_miah@outlook.com

Location

Dhaka, Bangladesh