Yohannes Tesfaye

Yohannes Tesfaye

Data Scientist
Ethiopia
Amharic, English

نبذة عني

Data Scientist with hands‑on experience in machine learning, statistical modeling, and data visualization. Skilled in Python, SQL, Tableau, Power BI, and Azure, with a track record of building predictive models, ETL pipe…

الخبرة

Data Analyst / Data Scientist

Independent

Built predictive models (linear regression, logistic regression, decision trees, random forest, gradient boosting) to analyze housing, earthquake damage, and bankruptcy datasets.
Developed time-series forecasting models (ARMA, GARCH) to predict air quality and financial volatility, improving accuracy through hyperparameter tuning.
Designed ETL pipelines in Python and SQL to clean, transform, and integrate data from CSV, SQLite, and MongoDB sources.
Created interactive dashboards in Tableau, Power BI, and Plotly Dash to visualize customer segmentation, housing trends, and project outcomes.
Applied statistical testing (chi-square, correlation analysis) to evaluate A/B testing results and uncover significant relationships in datasets.
Leveraged cloud technologies (Azure Data Lake, Databricks, PySpark) to process large datasets and optimize workflows.
Communicated insights through professional reports and visualizations, supporting decision-making in diverse domains (real estate, healthcare, finance, environment).

with 1+ years of hands-on experience applying machine learning, statistical modeling, and data visualization to real-world datasets through independent and academic projects

Independent Data Analyst / Data Scientist

Built predictive models (linear regression, logistic regression, decision trees, random forest, gradient boosting) to analyze housing, earthquake damage, and bankruptcy datasets., Developed time-series forecasting models (ARMA, GARCH) to predict air quality and financial volatility, improving accuracy through hyperparameter tuning., Designed ETL pipelines in Python and SQL to clean, transform, and integrate data from CSV, SQLite, and MongoDB sources., Created interactive dashboards in Tableau, Power BI, and Plotly Dash to visualize customer segmentation, housing trends, and project outcomes., Applied statistical testing (chi-square, correlation analysis) to evaluate A/B testing results and uncover significant relationships in datasets., Leveraged cloud technologies (Azure Data Lake, Databricks, PySpark) to process large datasets and optimize workflows., Communicated insights through professional reports and visualizations, supporting decision-making in diverse domains (real estate, healthcare, finance, environment).

المهارات

إكسل ماي إس كيو إل بايثون (لغة برمجة) لغة الاستعلامات الهيكلية (SQL) خادم SQL الإحصاء مايكروسوفت أزور (خدمة حوسبة سحابية) نومباي (مكتبة لغة Python) باي سبارك ساي باي التصور البياني للبيانات تعلم الآلة تابلو PostgreSQL Linear Regression Logistic Regression Decision Trees Random Forest Gradient Boosting ARMA GARCH MongoDB pymongo Linux Resampling Precision Recall SQLite K-means Principal Component Analysis PCA Plotly Dash Chi-square test ETL Hyperparameter Tuning Data Cleaning Data Transformation Data Integration
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