Eyasu (Berhane) Habte-Data Scientist
Check rate
Experience
Data Scientist
Deutsche Bundesbank
- Developed web scraping scripts to extract and parse over 5000 product data from the Zalando website.
- Performed ETL processes using Apache Spark in CDSW, loaded the data into the Hadoop ecosystem (HDFS), and managed data using Hive and Impala.
- Implemented machine learning algorithms, achieving 85–90% accuracy on multi-class product classification.
- Integrated Zalando's product and price data into the dashboard with Otto and Takko for interactive visuals.
Data Analyst
Tekle Car Spare Part Shop
- Analyzed 10k+ datasets related to engine components, tires, filters, and lubricants to identify trends and patterns, guiding strategic decision-making.
- Used statistical techniques to track profitability, identifying the top 15% high-margin products in revenue.
- Developed inventory strategies that cut seasonal losses by ~20% and optimized stock allocation.
Industry Experience
See where this freelancer has spent most of their professional time.
Experienced in Automotive, Banking and Finance, and Government and Administration.
Business Area Experience
See which departments and functions this freelancer has contributed to most.
Experienced in Business Intelligence, Operations, and Supply Chain Management.
Summary
Data Scientist with around 2 years of experience in data analytics, machine learning, and big data systems. Skilled in Python, SQL, R, Spark, Kafka, and cloud platforms (Azure). Experienced in building data pipelines, deploying ML models, RAG and developing interactive dashboards for data-driven insights.
Skills
- Programming Languages: Python, R, Matlab, Java, Bash, Latex
- Data Science: Numpy, Pandas, Matplotlib, Seaborn, Scipy, Scikit-Learn, Web Scraping
- Ml & Nlp: Tensorflow, Keras, Pytorch, Nltk, Gensim, Transformers, Langchain, Vector Database
- Databases & Warehousing: Postgresql, Mysql, Mongodb, Snowflake, Redshift
- Data Visualization: Power Bi, Plotly, Ggplot2
- Big Data: Sql, Hive, Impala, Hadoop Ecosystem
- Etl & Pipelines: Azure, Spark, Airflow Dags, Kafka
- Cloud Platforms: Aws (S3), Gcp (Bigquery)
Languages
Education
Bauhaus University
Digital Engineering (Computer Science) · Digital Engineering (Computer Science) · Weimar, Germany
Certifications & licenses
Data Analysis With R
Stanford University, DeepLearning.AI, and IBM
Data Science
Stanford University, DeepLearning.AI, and IBM
Deep Learning Specialization
Stanford University, DeepLearning.AI, and IBM
ETL And Data Pipelines With Shell, Airflow And Kafka
Stanford University, DeepLearning.AI, and IBM
Generative AI With LLM
Stanford University, DeepLearning.AI, and IBM
Machine Learning Specialization
Stanford University, DeepLearning.AI, and IBM
Managing Big Data
Stanford University, DeepLearning.AI, and IBM
NLP
Stanford University, DeepLearning.AI, and IBM
Statistics
Experience
Global Experience
Expertise
Qualifications
Profile
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Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
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