Passionate Data Analyst | Scientist

Transforming complex data into meaningful insights.

I’m a dedicated Data Analyst/Scientist who transforms complex data into compelling stories. As I navigate the fascinating world of data, I’m actively seeking new opportunities to apply my skills and make a difference. Let’s connect and explore the power of data together.

Download Resume
A profile picture I used for my LinkedIn account as well.

Desalegn Betizazu Alemu

Background

Work Experience

Company logo which will be translated as three beer glasses saying cheers.

End-to-End Supply Chain Planning Analyst ( Jul 2024 - Oct 2024 )

Key responsibilities:
  • Inventory planning and deployment using ERP
  • Transport planning using TMS
  • Suggest automation tasks for ERP, Power BI, TMS
  • Track and analyze 40 - 60 shipments using Power BI and Excel daily
  • Communicate analysis results to Team members, Leads, Managers, Carriers, Brewery Managers, and Warehouse Managers
Tools and Skills
  • SAP ERP
  • Power BI
  • Excel
  • Blue Yonder
  • Transport Management System (TMS)
  • Outlook
  • MS Teams
A logo which the university has been using since the beginning.

Lecturer ( Sep 2023 - Feb 2024 )

Key responsibilities:
  • Teaching a minimum of 60 students per class each semester
  • Collaborate with regional state ICT office to engage students in real-world projects
  • Lead a group of 8 people to manage laboratories for an efficient use
  • Coaching and advising students both professionally and personally
  • Coordinating common course across the faculty including managing staffs
  • Participated in an internal research aims to increase students engagement
Tools and Skills
  • Jupyter
  • Python
  • VsCode
  • Scikit-Learn
  • Keras
  • MySQL
  • SQLite
A simple logo where the company's name written on it.

Front-End Web Developer ( Sep 2020 - Aug 2021 )

Key responsibilities:
  • Designing UI/UX using Figma or Photoshop
  • Converting UI designs into Front-End Web Pages using HTML, CSS, JavaScript
  • Customizing website functionalities
  • Prepare and run tests for newly added web functionalities using JavaScript
Tools and Skills
  • Photoshop
  • Figma
  • HTML
  • CSS
  • JavaScript
  • NodeJS
  • NPM
  • React
  • VsCode
A logo which the university has been using since the beginning.

Assistant Lecturer ( Oct 2017 - Aug 2020 )

Key responsibilities:
  • Assisting lecturers during laboratory session
  • Controlling laboratory operations
  • Advising students as batch advisor
  • Mentoring students in need
Tools and Skills
  • NetBeans
  • Intellij
  • Falcon C++
  • PHP
  • C#
  • Java
  • HTML
  • CSS
  • JavaScript
A placeholder image for company's those doesn't has a logo.

System and Website Developer ( May 2016 - Feb 2017 )

  • Insilico Technologies

  • Addis Ababa, Ethiopia

Key responsibilities:
  • Leading a team of 3 interns
  • Designing UI/UX using Photoshop and Figma
  • Database designing and implementation
  • Website development using backend Technologies like PHP
Tools and Skills
  • Photoshop
  • Figma
  • HTML
  • CSS
  • JavaScript
  • PHP
  • MySQL
  • Sublime Text

Tools

My Skillset

My skills are not limited to the list below!

Expand All

  • Scikit-Learn
  • TensorFlow
  • PyTorch
  • Keras
  • OpenCV
  • SciPy
  • Tesseract
  • Model Development

  • Python
  • JAVA
  • C
  • C++
  • C#
  • JavaScript
  • PHP
  • HTML
  • CSS

  • SQL
  • MySQL
  • Sqlite
  • Oracle

  • Git
  • GitLab
  • GitHub

  • Ms Excel
  • Google Sheets
  • CSV
  • TSV
  • JSON
  • HDF5
  • Time Series

  • Pivot Tables
  • Pandas
  • NumPy
  • BeautifulSoup
  • Selenium
  • Requests

  • PowerBI
  • Tableu
  • Matplotlib
  • Seaborn
  • PyPlot
  • Plotly

  • Communication
  • Leadership
  • Teamwork
  • Problem Solving
  • Time Management
  • Planning and Organization

  • Windows
  • Linux
  • Ms Office
  • Google Workstation

Projects

Major Works

Amharic Synthetic Data Generator

An Amharic Synthetic Text Line Dataset generator for Optical Character Recognition (OCR) work to support the lack resource.

In: Data Science
  • Python
  • OpenCV

Decision Tree from Scratch

The Classic Decision Tree machine learning algorithm implemented from scratch using Scikit-Learn.

In: Machine Learning
  • Python
  • Scikit-Learn

Ford GoBike Ride

Analysis of a huge bike ride dataset having 16 features and 183412 entries. Collected in Feb 2019 on Ford GoBike System.

In: Data Analysis
  • Python
  • Pandas
  • NumPy
  • Matplotlib
  • Seaborn

The Movies Dataset

An analysis performed over a dataset that has 20 features and 10866 entries about movies produced 1960 - 2015.

In: Data Analysis
  • Python
  • Pandas
  • NumPy
  • Matplotlib
  • Seaborn

Udemy Courses Analysis

An analysis performed over courses on Udemy platform to help the company make an informed decision on what area to invest more.

In: Data Analysis
  • Excel (Google Sheets)
  • Pivot Table

WeRateDogs Tweet

A project that includes all the stages of Data Analysis, starting from gathering all the way up to extracting meaningful insights through analysis.

In: Data Analysis
  • Python
  • Pandas
  • NumPy
  • Matplotlib
  • Seaborn
  • Tweepy

Degrees

Education

Feb 2024 - Present

Economics and Management (MBA)

Czech University of Life Science (Prague, Czech Republic)

Major Courses
  • Business Management
  • Public Economics
  • Applied Econometrics
  • Sectorial Economics
  • ICT for Economists
  • Advanced Methods of Social Research

Sep 2021 - Aug 2023

Artificial Intelligence (MSc)

Chungnam National University (Daejeon, South Korea)

Major Courses
  • Machine Learning
  • Advanced Image Processing
  • Software Architecture
  • Information Retrieval
  • Deep Learning
  • Advanced Algorithms
Major Projects
Mice Seizure Detection - Object Tracking
  • Collaboration: Chungnam National University Animal Science Collage
  • Tools Used: Python, TensorFlow, OpenCV, Labelbox, Labelme
  • Role: Data Collector (Capturing Videos), Data Preparation (Labeling Videos), Data Pipeline Organizer, Assistant on Implementing Object Tracking Algorithms
  • Description: By tracking the movement and body positioning of the Mice, predict whether the mice has a seizure attack or not.
Personal Mobility Helper Camera - Object Detection
  • Collaboration: Chungnam National University Electrical Engineering Collage
  • Tools Used: Python, TensorFlow, OpenCV, Labelbox, Labelme, SciPy
  • Role: Data Collector (Capturing Videos), Data Preparation (Labeling Videos), Data Pipeline Organizer, Assistant on Implementing Object Detection Algorithms
  • Description: Connecting the three (Front, Left, and Right) mounted camera's on a helmet with a mobile app, help the user navigate safely when using a personal mobility vehicles like Scooter, Motorcycle, and Bicycle.
Ground Water Level Prediction - LSTM Model
  • Collaboration: GIMS Korea
  • Tools Used: Python, PyTorch, Numpy, Pandas, Tableau, Time Series Data
  • Role: Co-lead Programmer, Data Pipeline Organizer
  • Description: Connecting the three (Front, Left, and Right) mounted camera's on a helmet with a mobile app, help the user navigate safely when using a personal mobility vehicles like Scooter, Motorcycle, and Bicycle.
Amharic Character Recognition - Optical Character Recognition (OCR)
  • Tools Used: Python, TensorFlow, PyTorch, Numpy, Pandas, Matplotlib, OpenCV, Tesseract
  • Role: Researcher
  • Description: Developed to extract characters from images using all three segmentation techniques; character, word, and line. One of the main contribution is to develop a Synthetic Line Statement generator for a low resourced Amharic language.

Aug 2020 - Aug 2021

Korean Language and Literature (Certification)

Duksung Women's University (Seoul, South Korea)

Oct 2013 - Jun 2017

Computer Science (BSc)

Hawassa University (Hawassa, Ethiopia)

Major Courses
  • Fundamentals of Programming
  • Data Structures and Algorithms
  • Object Oriented Programming
  • Operating Systems
  • Compiler Design
  • Computer Networks
  • Software Engineering
  • Distributed Systems
  • Linear Algebra
  • Calculus
  • Probability and Statistics
Major Projects
Android M-Learning System for Kids - Android App
  • Tools Used: Android Studio, Java, SQLite, Photoshop
  • Role: Lead Programmer
  • Description: Designed and developed for pre-primary school children aged 4–9, this project aims to teach alphabets and basic counting in both Amharic and English using engaging visualizations. It also introduces fundamental mathematical operations in an interactive and bilingual format. To enhance engagement, the project includes interactive games tailored to captivate young learners. Its innovative approach earned it the Best Final Year Project of the Year award.

Trainings

Certificates

Certificate of Data Scientist with Python from DataCamp

About 96 hours of Data Scientist training from data manipulation to machine learning. Work with real-world datasets to learn the statistical and machine learning techniques to perform hypothesis testing and build predictive models.

  • Python
  • Pandas
  • Numpy
  • SQL
  • Scikit-Learn
  • Machine Learning
Certificate of Data Analyst with Python from DataCamp

About 36 hours of Data analyst training with interactive exercises and get hands-on with some of the most popular Python libraries, including pandas, NumPy, Seaborn, and many more.

  • Python
  • Pandas
  • Numpy
  • Seaborn
  • Sampling
Certificate of Python Core from Hyperskill

Approximately 116 hours of self paced project based learning about Python starting from basics up until advanced concepts like Object Orientation.

  • Python
  • BeautifulSoup
  • Requests
  • Code Quality
  • Django
Certificate of Alx-Data Analyst Nanodegree from Udacity

Data Analyst training to gather data, clean up, uncover patterns and insights, make predictions using machine learning, and clearly communicate your findings.

  • Python
  • Pandas
  • Numpy
  • Seaborn
  • BeautifulSoup
  • Requests
  • Selenium
Certificate of Data Analysis with Python from FreeCodeCamp

An approximate of 300 hours of self paced training on Data Analysis. The training starts from the fundamentals of data analysis with Python all the way up to reading data from sources like CSVs and SQL, and how to use libraries like Numpy, Pandas, Matplotlib, and Seaborn to process and visualize data.

  • SQL
  • CSV
  • Numpy
  • Pandas
  • Matplotlib
  • Seaborn
Certificate of IBM Data Science Professional Certificate from Coursera

Professional practical Data Science training practicing Data Science skills, tools, languages, and libraries like Python and SQL. Includes training of importing and cleaning, analyzing and visualizing, and building machine learning models and pipelines.

  • Python
  • Pandas
  • Numpy
  • SQL
  • Scikit-Learn
  • Machine Learning

Contact

Get in Touch

My inbox is open in case you have any questions or just wanna say a hello!

If you have any relevant roles for me, E-mail me or reach out via your preferred social media.