Asha Anab
Nairobi
Summary
Seasoned Data Scientist with extensive experience in developing advanced machine learning models and data-driven solutions. Expertise in big data technologies, predictive analytics, and deploying scalable systems. Demonstrated success in leading cross-functional teams and delivering impactful insights to drive strategic decision-making.
Overview
7
7
years of professional experience
Work History
Data Scientist
I&M BANK
08.2022 - Current
- Designed and built robust ETL pipelines to support data warehousing and analytics needs
- Oversaw a team of 4 data scientists and collaborated with product, engineering, and business teams to implement data-driven strategies
- Automated repetitive tasks using scripting languages such as Python or R, saving time during the analytical process significantly.
- Established rigorous validation procedures for model accuracy assessment, ensuring the reliability of predictions generated by machine learning algorithms.
- Conducted comprehensive predictive analytics to enhance customer segmentation and personalized financial products
- Built survival analysis models to predict customer behavior and lifecycle
- Developed Customer Lifetime Value (CLTV) and churn prediction models to optimize customer retention strategies
- Maintained detailed technical documentation for machine learning models and data processes to ensure clarity and reproducibility.
Data Scientist
NCBA Group
05.2020 - 07.2022
- Developed and deployed predictive models for customer behavior analysis, fraud detection, risk, and credit scoring, reducing default rates by 20%
- Built Customer Lifetime Value (CLTV), churn prediction, and survival analysis models to enhance customer relationship management
- Performed market modeling analysis to support the introduction of new financial products
- Developed reward systems and recommendation models to drive customer engagement and loyalty
- Implemented A/B testing frameworks to optimize marketing strategies and product offerings.
- Cleaned transformed, and analyzed large datasets to uncover hidden trends and patterns for actionable insights.
Data Scientist
GloBIVA
02.2019 - 03.2020
- Designed and optimized algorithms for consumer lending, increasing loan originations by 10%
- Integrated diverse data sources, including transactional, behavioral, and third-party data, to build comprehensive datasets for analysis
- Deployed machine learning models into production environments, ensuring scalability and reliability
- Managed end-to-end data science projects, from ideation to deployment, aligning with business objectives.
Database Administrator
Powerhive
04.2017 - 01.2019
- Engineered and maintained complex database architectures to support high-availability systems
- Optimized database performance through indexing, query optimization, and regular maintenance
- Developed automated processes for data backup, recovery, and integrity checks to enhance system reliability.
Education
Master of Science - Data Analytics
KCA University
Bachelor of Science - Bachelor of Applied Science - BASc
Egerton University
Skills
- Python
- R
- SQL
- NoSQL (MongoDB, Cassandra)
- Technical Documentation
- Process Documentation
- Best Practices
- Strategic Thinking
- Leadership
- Communication
- Problem-solving
- Quick problem-solving and critical thinking abilities
- Hadoop
- Spark
- Hive
- Kafka
- Agile
- Scrum
- JIRA
- Quantitative & Qualitative Research
- Academic Writing
- Literature Review
Personal Information
Title: Data Scientist
Timeline
Data Scientist
I&M BANK
08.2022 - Current
Data Scientist
NCBA Group
05.2020 - 07.2022
Data Scientist
GloBIVA
02.2019 - 03.2020
Database Administrator
Powerhive
04.2017 - 01.2019
Master of Science - Data Analytics
KCA University
Bachelor of Science - Bachelor of Applied Science - BASc
Egerton University
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