FAITH MORURI
Associate Data Scientist
LinkedIn
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Github
SKILLS_______________________________________________________________________
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Python | SQL | R | Power BI | Statistical Analysis| Machine learning | Deep Learning | TensorFlow | Pandas | Keras
| Spark | Hadoop | Docker | Databricks | ETL | Azure
Data Cleaning | Continuous learning | English, Swahili – All professional proficiency
EXPERIENCE__________________________________________________________________
Associate Consultant- Data Science and Machine Learning,
January 2023— Present
Nathan Claire Africa, Remote
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Design and develop the Analytics as a service software creation and oversee its implementation among clients
Create time series prediction model which has increased forecasting accuracy by 6%
Build and deploy production-ready pipelines for data engineering and machine learning using Apache Spark
and Airflow
Volunteer Data Analyst and Scientist,
June 2022 -January
2023
Togetherwell, California.
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Led the implementation of algorithms and models to identify trends and patterns in the social media analytics
team.
● Enriched the analytics team by integrating social analytics tools which increased user’s engagement by 30%.
Virtual Data Analyst
April 2022 - May 2022
Accenture through Forage
● Completed a data analysis project where I was able to come up with insights using SQL, Microsoft Excel and
present them to the client.
● Implemented the K-Mean’s algorithm to segment customers.
Financial Analyst Intern, Zana Africa Group
September 2022— January 2023
● I analyzed the financial documents for the group , created dashboards and therefore helped discover insights
that have led to an increase in marketing by 4%.
● I built data visualizations using SQL and Tableau for business KPIs that reduced manual reporting by 2 hours
weekly
● Contributed to reports on product development and design and created an ETL process that improved data
collection by 10%
EDUCATION AND CERTIFICATION________________________________________________
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Q1 2021 - Certified Investment Financial Analyst (CIFA) - KASNEB, Nairobi
Q1 2022 - Certificate in Data Science - University of Nairobi
Q1 2022 - Data Science for Investment Professionals - CFA Institute
Q2 2022 - Microsoft Game of Learners Clinics AI/ML- Microsoft ADC
Q3 2022 - BSc. Financial Engineering - Jomo Kenyatta University of Agriculture and Technology, Kiambu
Q4 2023- current Msc. Data Science - Strathmore University
PROJECTS____________________________________________________________________
Scraping Airbnb Website and building a prediction model
I scraped data from Airbnb and build a model that predicted the house price using linear regression and decision
trees with a 96% accuracy. In addition, I build visualization using Tableau to show the distribution of house
features relative to the price.
Wine Recommendation Model
I compiled data from 2 independent sources in MySQL database and build a recommendation model using
random forest classifier in scikit-learn with a 92% accuracy. Saved 15 minutes on wine selection relative to
previous methodology.
Deep Learning-based Demand Forecasting for Optimizing Inventory Management
I developed a deep learning model using TensorFlow to forecast demand for a particular product based on
historical sales data. The project demonstrated my expertise in data analysis, machine learning, and deep learning
techniques, and showcased my ability to deliver accurate predictions that can help businesses optimize inventory
management and supply chain operations.
OTHERS____________________________________________________________________
Open-source project-Omdena IFAD Challenge
Collaborated with 30 other selected individuals to work on a project to improve Digital Advisory for Rural Farmers
in Zimbabwe using predictive analytics and satellite imagery.
Professional Development
Undertaking a training IBM Data Engineering-Coursera
