Data Scientist/ Data Processing Specialist/ Data Analyst

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ID : 1801

Education level : Master's degree

Work experience level : Intermediate- (2-4 year experience)

Work experience in total : Years

Job type : Online

Job time : Maandelijks

Last date of registration :

2022-12-29

Well-organized and talented data science professional capable of gathering, analysing, authenticating, creating machine learning algorithms & using predictive data modeling to deliver insights and implement action-oriented solutions to complex business problems, thus improving organizational productivity. Highly skilled in conducting market research and identifying patterns and trends using statistical analysis.

Data Scientist February - NCBA Bank Kenya PLC - (2022 - Present)

Worked with stakeholders to develop quarterly roadmaps based on impact, effort and test co-ordinations.
Utilized advanced querying, visualization and analytic tools to analyse and process complex datasets.
Created and implemented recommendation engine, and credit score card to increase company productivity.
Discovered stories told by data to present information to scientists and business managers.
Coached and mentored junior data scientists on credit scoring and data mining techniques.
Developed intricate algorithms based on deep-dive statistical analysis and predictive data modeling.
Identified, measured & recommended improvement strategies for KPIs across business areas.
Developed polished MS Power BI visualizations to share results of data analyses.
Compiled, cleaned & manipulated data for modelling customer segmentation.
Tested and validated models for accuracy of churn predictions in outcomes of interest.

Data Processing Specialist - Dalberg Research Limited - (November 2021 - February 2022)

Developed R Shiny dashboard for primary research.
Worked closely with field quality control team to ensure that they are familiar with dashboard and can easily use it for daily project delivery.
Developed credit scorecard for scoring customers who takes loans using machine learning algorithms.
Leveraged mathematical techniques to develop engineering and scientific solutions.
Implemented randomized sampling techniques for optimized surveys.
AIMS ESMT Industry Immersion Program July 2021 - August 2021
- European School of Management and Technology (ESMT) in Berlin.
- The program was conceived as a mixture of academic and practical learning and skill development which allowed the transition from a scientific environment to an applied industry setting. The program also fostered in development of managerial and organizational skills and business behavioural competencies demanded by employers.

Data Analyst - RBL Partners PLC - (April 2019 - June 2020)

Used statistical methods to analyse data and generate useful business reports.
Identified, analysed and interpreted trends & patterns in complex data sets.
Participated in requirements meetings to understand business needs.
Worked with business intelligence software and various reports to glean insights into trends and prospects.
Created various Excel documents to assist with pulling metrics data and presenting information to stakeholders for concise explanations of best placement for needed resources.

Excellent
- Python, R, Power BI, HTML, SQL, CSS, Flask API, Hadoop, Microsoft Office
Basic level
- GitHub, JavaScript, HDFS, Spark, Kafka

Certifications, Awards and Honors
- Analytics Vidhya certification in Natural Language Processing.
- IBM Certification in Data Science Fundamentals
- Udemy Certification in Correlations, Associations and Hypothesis testing (with R)
- NASBA Excel Statistics Essential Training
Skills and Competences
- Proficiency in all areas of advanced Microsoft Office, Libre Office Microsoft operating systems, Ubuntu, and Latex that enhances high-quality typesetting for technical or scientific documents.
- Data collection, entry, and analysis using statistical software such as R, Python, SPSS, SQL, HTML, CSS, Java Script, and Microsoft Excel to visualize an organization’s performance and provide data-based insights that offer solutions to some of the challenges being faced.
- Understanding of machine learning techniques and algorithms, such as regression, k-NN, tree ensemble methods, naive bayes, SVM, decision trees and neural networks.
- Applied statistical skills, such as distributions, statistical testing, inferential and Bayesian statistics.
Publication
- Kasomo, J. M. and E. Gayawan (2021). Spatial location, temperature and rainfall diversity affect the double burden of malnutrition among women in kenya.SSM - Population Health 16, 100939. https://www.sciencedirect.com/science/article/pii/S2352827321002147

Excellent skills: Python, R, Power BI, HTML, SQL, CSS, Flask API, Hadoop, Microsoft Office | Basic level skills: GitHub, JavaScript, HDFS, Spark, Kafka