Python Developer & AI/ML Engineer

Python Developer

EYOB TESHALE TAKOO

Phone: +251-***-***-*** +251-***-***-***

Email: ( ***********@*****.*** )

Medium Link & Github Link & Linkedin Link:

https://github.com/Eyobgithubc

https://www.linkedin.com/in/eyob-teshale/

Address: Addis Ababa, Ethiopia

Professional Summary

Python Developer and IT professional with experience in banking systems, REST API development, database management, automation, and machine learning applications. Skilled in Python, SQL, PostgreSQL, Git, FastAPI, and data processing. Experienced in developing scalable applications and integrating data-driven solutions. Currently pursuing an MSc in Artificial Intelligence.

Education

Computer Science - Assosa University – Ethiopia - 2015 - 2019

● Master Of Science in artificial intelligence – Addis Abeba University 2022-2026 Skills

Technical Skills

Python:FastAPI, Flask, Pandas,NumPy,

Scikit-learn

SQL/PostgreSQL

REST APIs

Unit Testing

Web Programming

Streamlit

Machine Learning

Software Tools

Git

Jupiter notebook

Vscode

FlexCube

SQL/PL

Docker

Projects

Sentiment-Driven Financial Forecasting Project LINK

Conducted exploratory data analysis (EDA) on news trends and publisher contributions.

Applied sentiment analysis to gauge market entiment (positive, negative, neutral).

Used PyNance and TA-Lib for technical indicators (Moving Averages, RSI, MACD) to analyze stock data.

Implemented exception handling, logging, and input validation to improve API reliability

Correlated news sentiment with stock movements to assess impact on daily returns.

Credit Scoring Model Development LINK

Conducted exploratory data analysis (EDA) and feature engineering.

Defined a proxy variable to categorize users as high or low risk.

Selected observable features predictive of default risk.

Developed models to assign risk probabilities and credit scores for new customers.

Utilized advanced machine learning techniques with scikit-learn for model building and fine-tuning.

Designed and implemented a REST API for real-time predictions. Sales Forecasting Project at Rossmann Pharmaceuticals LINK

Conducted exploratory data analysis (EDA) to identify key factors affecting sales, including promotions, holidays, seasonality, and competition.

Cleaned and preprocessed data to handle outliers and missing values, and performed feature engineering to extract relevant features from datetime columns.

Built regression models using scikit-learn pipelines, focusing on tree-based algorithms like Random Forest Regressor.

Selected and defended a suitable loss function for sales prediction, enhancing model performance and interpretability.

Implemented post-prediction analysis, exploring feature importance and estimating prediction confidence intervals.

Developed a Long Short Term Memory (LSTM) deep learning model for sales prediction

Created a REST API to serve trained models for real-time predictions, implementing robust preprocessing and prediction logic.

TellCo Analysis Project LINK

Conduct a comprehensive analysis of TellCo, a mobile service provider, to identify growth opportunities for investment.

Analyzed customer data using exploratory data analysis (EDA) to identify trends in handset usage and user demographics.

Evaluated user engagement metrics to classify customers and optimize resource allocation.

Assessed user experience based on network performance metrics, utilizing clustering techniques.

Developed an interactive dashboard for visualizing insights and communicating findings.

Analyzed customer satisfaction using engagement and experience scores, implementing regression models for predictions.

Technologies Used: Python, PostgreSQL, Scikit-learn, Streamlit, data visualization tools.

Certifications

● Data Analysis Fundamentals by udacity

● Python for Data Science, AI & Development by Coursera

● Basics of OracleDatabase Administration, SQL and PL/SQL

● Artificial Intelligence Algorithms Models and Limitations by Coursera

● Python Data Structures by sololearn and Introduction to Java by coursera

● Introduction to Cyber security by Cisco Networking Academy

● Certificate of participation and winner of the SolveIT Innovation

● Competition by IcogsLab, the US Embassy, and JICA, held in Assosa

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