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Yisak

About Me

Education

IT 2022

hossana poly technic collage

advanced diploma

Applied biology 2022

Wachem university

MSC applied micriobiolgy 2024

Wachemo university

Work & Experience

machine learning engineer and web developer

personal

2022 - 2023

Built and deployed a Django-based web application for efficient family task management and activity prediction. Leveraged an RF model to analyze historical data and forecast future activities with an accuracy of 85%, enabling informed resource allocation and planning. Designed a user-friendly interface for daily data entry, grade-specific quizzes, and personalized scorecards, boosting engagement and promoting goal achievement. Streamlined family collaboration and scheduling, reducing task assignment time by 20%.

Data analyst

data camp project

2022 - 2023

Unveiled 6 customer segments using ML analysis, driving actionable insights for targeted marketing strategies. Key drivers: Satisfaction (0.45) & Purchases (0.38). Tailored recommendations for high-value segments and satisfaction improvement. (Python, sklearn)

Skills

patyhon
70%
machine learning
90%
deep learning
70%
data cleaning
96%

Awards

●Zindi New User Engagement Prediction Challenge, 1st place 2023
developed a stacking model that improved user retention prediction f1 score by 15%, aiding Zindi in optimizing user engagement strategies.
ITU Fault Impact Analysis Challenge (3rd place from more than 140) 2023
Implemented LightGBM and CatBoost ensemble to achieve a significant improvement in F1 score from 60 to 75, aiding network service providers in prioritizing fault resolution.
RMB CPI Nowcasting Challenge (13th place) 2023
Analyzed diverse data sources (historical CPI, air quality, trade) using XGBoost and Prophet models to predict South Africa's monthly inflation rate, gaining valuable experience in real-world time series forecasting.

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