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 ResumeBackground
Work Experience
End-to-End Supply Chain Planning Analyst ( Jul 2024 - Present )
Prague, Czech Republic
Key responsibilities:
- Analyze and report daily Truck operations
- Analyze and calculate best routes to meet the OTIF (On Time in Full) KPI
- Communicating results to key stakeholders
Lecturer ( Sep 2023 - Feb 2024 )
Hawassa, Ethiopia
Key responsibilities:
- Conducting lectures
- Carrying out scholarly researches
- Advising students
- Developing software applications as a community service
Front-End Web Developer ( Sep 2020 - Aug 2021 )
Remote
Key responsibilities:
- Designing UI/UX
- Converting UI designs into Front-End Web Pages
- Customizing website functionalities
- Prepare and run tests
Assistant Lecturer ( Oct 2017 - Aug 2020 )
Hawassa, Ethiopia
Key responsibilities:
- Assisting lecturers during laboratory session
- Controlling laboratory operations
- Advising students as batch advisor
- Mentoring students in need
System and Website Developer ( May 2016 - Feb 2017 )
-
Insilico Technologies
Addis Ababa, Ethiopia
Key responsibilities:
- Designing UI/UX
- Database designing and implementation
- Website development
- Desktop application development
Tools
My Skillset
My skills are not limitted to the list below!
- Python
- JAVA
- C
- C++
- C#
- JavaScript
- PHP
- HTML
- CSS
- SQL
- MySQL
- Sqlite
- Oracle
- Git
- GitLab
- GitHub
- Excel
- CSV
- TSV
- JSON
- HDF5
- Gathering
- Cleansing
- Analyzing
- Visualizing
- Labeling
- Image Processing
- Model Development
- Pandas
- NumPy
- ScikitLearn
- TensorFlow
- OpenCV
- BeautifulSoup
- Selenium
- Requests
- PowerBI
- Tableu
- Matplotlib
- Seaborn
- PyPlot
- 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)
Sep 2021 - Aug 2023
Artificial Intelligence (MSc)
Chungnam National University (Daejeon, South Korea)
Trainings
Certificates
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
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
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
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
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
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.