Bereket Kibru Wolde
Addis Ababa, Ethiopia
ADAMA SCIENCE AND TECHNOLOGY UNIVERSITY (2021-2023)
MSC, Computer Science and Engineering(Data Science)
Defence University (2015-2020)
Email: bekakibru2@gmail.com
Data Engineering
MySQL, MongoDB, Kafka, Spark, Airflow, Pandas, Numpy, Matplotlib, Seaborn,
Programming Language
Typescript,Python, JavaScript Java, C
Machine Learning
Scikit-learn, Pytorch, TensorFlow, MLFlow, DVC,
Services and Tools
Azure, Aws
Git, Bash ,Travis CI, Docker ,Strapi
About me
A Data engineer with a background in Computer Science and System Engineering. I am proficient in Data Preprocessing, Data Visualization, Exploratory Data Analysis, Machine Learning, designing and developing data models, data pipelines, and ETL tools that meet business requirements. I am a strong team player who enjoys learning and sharing knowledge with colleagues.
Education
Training & Certification
Work Experience
Developed a learning management web application from scratch within 5 months
Developed new user-facing features in a user management platform using react js, redux, ant design, and typescript
Translated designs and wireframes into high-quality code
Used REST and GraphQL APIs for fetching data from multiple systems and providing insights to users
Optimized components for maximum performance and responsiveness across a vast array of web-capable devices and browsers
Set up and managed strapi headless cms as the backend for the system
Mentoring a team of 32 Microsoft Skill lab Scholarship recipients on Microsoft Azure fundamental concepts
Cloud concepts,
Azure services,
Azure workloads, security, and privacy in Azure,
Azure pricing and support.
Analyze solution requirements, Design AI solutions, and Implement and monitor AI solutions in Microsoft Azure, and worked on a final project with a focus on AI Bot.
Projects
USGS Lidar Data Engineering
A python module that can be used to fetch, visualize, and transform publicly available satellite and LIDAR data and interface with USGS 3DEP and fetch data using their API.
Build and serve end-to-end speech data collection pipeline for Amharic using various tools including Kafka, Spark, Airflow, and S3 Bucket.
Used A/B testing to see if the creative ad designed by SmartAd, an advertising company, has performed significantly better than a dummy ad.
Build and serve end-to-end speech recognition systems for Swahili using various deep learning architectures that transcribe Swahili speech to text.
Pharmaceutical Sales Prediction
Built sales forecasting time-series models using facebooks prophet, and Random Forest Regressor to predict incoming sales for Rossmann pharmaceuticals for the next 6 weeks.
Exploratory Analysis of Telecom Data. Descriptive and intuitive plots were generated and used to answer business questions.