Open to opportunities

Akalu Anulo

@akaluanulo1

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Dynamic Data Analytics Developer with expertise in AI/ML solutions.

Ethiopia

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What I'm looking for

I am looking for opportunities that allow me to leverage my data analytics skills in a collaborative environment, focusing on innovative AI/ML projects that drive business growth and enhance customer experiences.

I am a dynamic Data Analytics Developer with over 4 years of experience delivering data-driven solutions across diverse industries. My expertise lies in developing advanced predictive models, customer segmentation strategies, and churn prediction, along with building robust ETL pipelines to optimize Customer Value Management (CVM) initiatives. I am skilled in utilizing Python, Spark, SQL, and cutting-edge Big Data tools to drive AI/ML solutions that deliver actionable insights.

Throughout my career, I have collaborated with cross-functional teams to transform complex data into strategic business solutions that improve overall performance and maximize profitability. My academic background includes a PhD in AI/Machine Learning, and I have completed specialized programs in e-Government Application Development. I am passionate about leveraging my knowledge to contribute to the development of advanced computing solutions that drive business success.

Experience

Work history, roles, and key accomplishments

ML Engineer, Churn Prediction and Customer Retention Strategy

Telecom

Jan 2023 - Dec 2024 (1 year 11 months)

Collected and integrated customer data from multiple sources, then cleaned and preprocessed raw data. Developed and validated machine learning models, segmented customers into risk categories, and designed and implemented retention strategies.

Machine Learning data preprocessing Customer Segmentation Retention Strategy Data Integration

AI/ML Engineer, Driving Customer Retention

Ethio-Telecom

Jan 2022 - Dec 2023 (1 year 11 months)

Collected and integrated large-scale customer data, then preprocessed and cleaned data by handling missing values. Developed and validated machine learning models, segmented customers based on churn and revenue contribution, and proposed actionable retention strategies.

Machine Learning data preprocessing Customer Segmentation Data Integration

Business Intelligence Analyst

Banking

Jan 2021 - Dec 2022 (1 year 11 months)

Designed and implemented dashboards and reports using Power BI, and conducted in-depth data analysis. Automated data workflows using ETL processes and maintained data quality, and collaborated with cross-functional teams to translate business needs into BI solutions.

Business Intelligence Power BI Data Analysis ETL Data Quality Predictive Analytics

Machine Learning Engineer Fraud Detection

Online Banking

Jan 2020 - Dec 2022 (2 years 11 months)

Designed and deployed machine learning models to detect fraudulent transactions, and engineered advanced features from transaction data, improving anomaly detection accuracy. Automated fraud detection pipelines using Python, integrated with real-time APIs for instant alerts, and developed dashboards to visualize fraud trends.

Machine Learning Fraud Detection Anomaly Detection Python API Integration Data Visualization

Education

Degrees, certifications, and relevant coursework

Addis Ababa Science & Technology University (AASTU)

PhD, AI/Machine Learning

Grade: 121 ECTS

Currently pursuing a PhD in AI/Machine Learning, focusing on advanced topics and research in the field. This program involves in-depth study and development of AI and machine learning solutions.

Centre for the development of advanced computing, Noida

Specialized Program, e-Government Application Development

Grade: 12 ECTS

Completed a specialized program focused on e-Government Application Development. This program provided practical skills and knowledge in developing applications for e-governance.

Jimma University

MSc., Numerical Analysis

Grade: 35 ECTS

Obtained a Master of Science degree with a focus on Numerical Analysis. The program included a thesis, providing a strong foundation in quantitative analysis and problem-solving.

Jigjiga University

BSc., Applied Mathematics

Grade: 121 ECTS

Completed a Bachelor of Science degree in Applied Mathematics, including coursework and a project. This program provided a comprehensive understanding of mathematical principles and their applications.