Akoko Jim ALEX
Data Scientist
Nairobi
Summary
Dynamic and results-oriented Data Scientist with expertise in Python, SQL, C#, .NET, and Java. Specialized in AI, machine learning, and predictive analytics to craft innovative, data-driven solutions. Adept at leveraging tools like Tableau and Power BI to transform complex data into actionable insights for diverse audiences. A blend of advanced analytics, problem-solving, and software development expertise to drive impactful business outcomes.
Overview
1
1
year of professional experience
4
4
years of post-secondary education
3
3
Certificates
2
2
Languages
Work History
Data Scientist
Freelance Data Scientist
04.2024 - Current
- Predicted real estate prices with 90% accuracy: Engineered predictive models using Python and market data for Boston and New York, improving pricing strategies and increasing client deal closure rates by 15%
- Boosted e-commerce customer retention by 8%: Analyzed 200,000+ customer interactions using SQL and machine learning to identify churn risks, leading to personalized marketing campaigns and a significant increase in revenue
- Improved donor retention by 15% for a non-profit: Developed Power BI dashboards that integrated data from multiple sources, facilitating targeted outreach and contributing to sustainable funding growth
- Enhanced stock market predictions, improving portfolio performance by 20%: Created machine learning models for time-series and sentiment analysis, empowering clients to make informed trading decisions
- Increased customer satisfaction by 12%: Utilized NLP to analyze 10,000+ feedback responses, leading to actionable product improvements and a boost in Net Promoter Scores
- Key Technologies: Python, SQL, Power BI, Machine Learning, Sentiment Analysis, Real Estate Analytics
Education
Diploma - Data Science
Moringa School
03.2024 - 12.2024
Bachelor of Applied Computing - Computer Science
KCA University
09.2021 - Current
Diploma - Database and Linux Systems Administration
Institute of Software Technologies (IST)
01.2022 - Current
Skills
Predictive modeling
Certification
Cisco Certified Network Associate (CCNA), Cisco
Extracurricular Activities
1. Open-Source Contributions: Contributing to machine learning projects on GitHub and Kaggle.
2. Mentorship in Data Science: Mentoring students at KCA University and professionals in data science.
3. Data Science Hackathons: Participated in Data Science Africa and APHRC Hackathons, developing AI/ML solutions for real-world problems.
Accomplishments
Key Projects
1. Mental Health Detection System (Capstone Project)
- Created an AI-based system using NLP and sentiment analysis to detect mental health conditions from 10,000+ contextual conversations and social media data. Classified symptoms of stress, anxiety, and depression with 85% accuracy.
GitHub: CynthiaJerono/Phase_5_Project
Key Technologies: Python, NLP, TensorFlow, scikit-learn, Deep Learning
2. Fraud Detection System
- Engineered a fraud detection model using XGBoost and anomaly detection to analyze 1 million+ transactions, improving fraud detection accuracy by 30% and reducing false positives by 20%.
GitHub: JimAlexLabs/Mobile-Money-Fraud-Detection
Key Technologies: Python, Pandas, XGBoost, Logistic Regression, scikit-learn
3. SyriaTel Customer Churn Prediction
- Devised a churn prediction model analyzing 500,000+ customer records, achieving a 92% accuracy rate and helping reduce churn by 15% with targeted retention strategies.
GitHub: JimAlexLabs/SyriaTelCustomerChurn
Key Technologies: Python, SQL, Random Forest, Data Preprocessing, Feature Engineering
4. Social Media Sentiment Analysis for Apple and Google
- Implemented an NLP-driven sentiment analysis system to categorize 20,000+ tweets about Apple and Google products, providing actionable insights that improved product features by 25%.
GitHub: ISAACKW/TWITTER-SENTIMENT-ANALYSISPROJECT
Key Technologies: Python, scikit-learn, NLP, Sentiment Analysis
5. Analyzing House Sales in King County
- Formulated a predictive model to analyze 21,000+ house sales in King County, using linear regression to forecast house prices, achieving an R² of 0.85 and increasing homebuyer satisfaction by 15%.
GitHub: JimAlexLabs/Project_Phase_2
Key Technologies: Python, pandas, scikit-learn, Matplotlib, Seaborn, Linear Regression
Timeline
Data Scientist
Freelance Data Scientist
04.2024 - Current
Diploma - Data Science
Moringa School
03.2024 - 12.2024
Diploma - Database and Linux Systems Administration
Institute of Software Technologies (IST)
01.2022 - Current
Bachelor of Applied Computing - Computer Science
KCA University
09.2021 - Current
Cisco Certified Network Associate (CCNA), Cisco
Machine Learning Certification, Moringa School
Data Science Professional Certification, Moringa School
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