Kalkidan Gezahegn

Full Stack Developer at Mentally.ai
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Contact Information
us****@****om
(386) 825-5501
Location
Addis Ababa, Addis Ababa, Ethiopia, ET
Languages
  • English Full professional proficiency
  • Amharic Native or bilingual proficiency

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Bio

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Credentials

  • Apache PySpark by Example
    LinkedIn
    Mar, 2022
    - Nov, 2024
  • Data Engineering Foundations
    LinkedIn
    Mar, 2022
    - Nov, 2024
  • SQL Data Science Code Challenges
    LinkedIn
    Mar, 2022
    - Nov, 2024
  • Deep Learning A-Z: Hands-On Artificial Neural Networks
    Udemy
    Feb, 2020
    - Nov, 2024
  • Research symposium
    CETPA Infotech Pvt. ltd.
    Apr, 2019
    - Nov, 2024
  • CYBERSURAKSHA AWARENESS CAMPAIGN
    Microsoft
    Mar, 2018
    - Nov, 2024

Experience

    • United States
    • Technology, Information and Internet
    • 1 - 100 Employee
    • Full Stack Developer
      • Jun 2023 - Present

    • United States
    • Non-profit Organizations
    • 700 & Above Employee
    • Back End Developer
      • Jun 2022 - Oct 2023

      Mainly working on two projects as a Backend Developer. 1, Ethiopian OpenMRS HIV Reference Implementation. • Working on an Electronic Medical Record system for 700 health facilities located in Ethiopia. • Working mainly as a backend developer, Develop Reporting Module using Java, Hibernate, MySQL, design an ETL pipeline, CI/CD engineer, and AWS EC2 administrator. • Designed and developed reporting module based on stakeholders requirement • Java to develop these reports from MySQL database. • Implemented Git action to set up CI/CD on GitHub to deploy the latest merges on an EC2 instance. • Worked on performance, functional, and scalability testing to improve efficiency. • Tech stack used is Java, DevOps, Kubernetes, MySQL, Python, Docker, Scrum, Hibernate, JSF, Git, JavaScript, Airflow, Agile, AWS, EC2, Data Engineering, Data Migration, AWS Solutions Architecture, and SSH. 2, NEW HIV Case Reporting Surveillance System in Ethiopia. • Design and develop new HIV Case Reporting Surveillance platform for collecting and monitoring new HIV cases. • Tech stack used - Python, PHP, JavaScript, MySQL, Apache2, Docker, AWS, EC2, AWS Security, Apache, Shell Scripting Show less

    • United States
    • Information Technology & Services
    • 200 - 300 Employee
    • Senior Data Scientist
      • Oct 2022 - Dec 2022

      - Build an ETL pipeline using tools like DBT, FiveTran, PySpark, Airflow. - Mainly working on Extracting and Transforming data from Azure blob storage using Python libraries Pandas, Numpy and workflow management tool like Airflow. I used Azure Kubernetes service to deploy updated Python scripts on Azure kubernetes pods. - Analyzing data for trends and patterns and to find solution to specific requirements. - Setting up cloud data infrastructure. - Build an ETL pipeline using tools like DBT, FiveTran, PySpark, Airflow. - Mainly working on Extracting and Transforming data from Azure blob storage using Python libraries Pandas, Numpy and workflow management tool like Airflow. I used Azure Kubernetes service to deploy updated Python scripts on Azure kubernetes pods. - Analyzing data for trends and patterns and to find solution to specific requirements. - Setting up cloud data infrastructure.

    • Ethiopia
    • IT Services and IT Consulting
    • 1 - 100 Employee
    • Data Analyst
      • Mar 2022 - May 2022

      • Worked as Python Backend Developer and Senior Data Analyst • Used automated tools like Python and PowerBI to extract data from primary and secondary sources. • Implemented data cleaning. • Removed corrupted data. • Applied automated fixing for data coding errors and related problems. • Developed custom data models and algorithms to apply to data sets. • Performed different analyses like cohort analysis, customer lifetime value, retention rate, customer segmentation, and behavior analysis. • Filtered data by reviewing reports and performance indicators to identify the best working marketing strategies. • Worked by collaborating with stuffs from marketing team, business development team, and management heads. • Identified process improvement opportunities, proposed system modifications, and devised data governance strategies. • Prepared weekly presentations for higher managers and daily, weekly, and monthly analysis reports for all departments in the company. • Used tools like Python, AWS RDS, MySQL, SQL, Data Analysis, ETL, Data Science, Cloud, Data Migration, and PowerBI to visualize data from primary and secondary sources. Show less

  • Orael IT Solution
    • Addis Ababa, Ethiopia
    • Software Developer
      • Feb 2021 - Feb 2022

      1- MyPharma E-commerce System • Developed an online business-to-business e-commerce system for pharmaceutical equipment. • Allowed pharmacists to order items from wholesalers and wholesalers to order from importers. • Developed with DJango, Django Rest Framework , MySQL, AWS S3, AWS RDS, AWS EC2, Git 2- Event-Driven Data Processing Pipeline for a Restaurant Celavi • I used AWS Lambda, Glue, S3, CloudWatch, and AWS Redshift to ingests Point of Sale (POS) data from multiple Celavi branches. 3 - RealTech Inventory Management System • An inventory management system for an electronic sale shop. Developed with Laravel, PHP, JavaScript, jQuery, SQL, Kubernetes, and MySQL. 4 - Provided end-to-end service and was involved in database design and building a user-facing website. 5 -Met with the software development team to define the scope and scale of software projects. 6 - Design software and system architecture. 7 - Adopt optimal data structures and design patterns. Show less

    • Data Analyst, Researcher
      • Sep 2019 - Jan 2022

      1 - Developed a Client-Server Smart Employee Attendance System using Python ML tools and a web app using Django, Django Rest Framework and MySQL. • Tools - Python, OpenCV, Dlib, ImageZMQ, pickle, SQLAlchemy, Flask (to host live video feed for the web application) Tkinter and a web application using Django to develop a web app that used to live monitor the attendance and get attendance reports. • Collected and interpreted data, Analyzed results. • Defined new data collection and analysis processes. • Consult companies on Data Analysis, Data Engineering, AI and ML projects. 2 - End-to-End Multilingual Machine Translation Pipeline using Transformer for 3 Ethiopian Local Languages and English - • Different techniques were used to collect parallel corpora from different sources. The collected data fall under the religious, historical, conversational, and legal domains. • ETL pipeline to collect training and testing data from multiple sources. • Python, Beautifulsoup (web scraping and crawling), pandas, numpy • We use Transformer : is the principal transduction model that compute representation of its input and output by depending totally on Self-attention,which is an attention mechanism relating different positions of a single sequence in order to compute a representation of the sequence. As most common transduction models the Transformer have an encoder-decoder structure • We used a NVIDIA QUADRO RTX 6000 machine with 24 GB GDDR6 GPU memory. We trained our model with 25 epochs for a total of 3 days or 70 hours. • Collecting data sets is a huge challenge for underdeveloped African languages, specifically Ethiopic languages; the available resources are not easily accessible, published in non-public journals, undigitized, or stacked for private use only. Show less

    • Assistant System Engineer
      • Jun 2015 - Oct 2017

      Projects I was working were: 1, University Industry Linkage System 2, Enterprise Resource Planning (ERP) 3, Inventory Management System 4, Letter Management System 5, Human Resource Management Tech stack I used were - Java, Python, PHP, sqlalchemy, schema, Apache, AJAX, MVC, Hibernate, SQLite, Git, GitHub, XML, JavaScript, jQuery, WordPress, HTML5, CSS3, JSON, JSF, SQL, and MySQL. Projects I was working were: 1, University Industry Linkage System 2, Enterprise Resource Planning (ERP) 3, Inventory Management System 4, Letter Management System 5, Human Resource Management Tech stack I used were - Java, Python, PHP, sqlalchemy, schema, Apache, AJAX, MVC, Hibernate, SQLite, Git, GitHub, XML, JavaScript, jQuery, WordPress, HTML5, CSS3, JSON, JSF, SQL, and MySQL.

Education

  • Sharda University
    Master of Technology, Data Science
    2017 - 2019
  • Wollega University
    Bachelor of Science - BSc, Information Technology
    2009 - 2013
  • Udacity
    NanoDegree, Computer Science
    2022 - 2022

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