FAITH MORURI

LinkedIn +254********* ad4uov@r.postjobfree.com Github

SKILLS

● Python Excel Financial Analysis Portfolio Optimization Risk Analysis Credit Risk Models Stress Testing SQL R Power BI Statistical Analysis Machine learning Stochastic Calculus Time Series Analysis

EXPERIENCE

Consultant-Data and Machine Learning, Nathan Claire Africa (Remote) January 2023 — Present

● Implemented machine learning algorithms in Python to classify our customers and predict churn analysis.

● Create a time series prediction model that has increased forecasting accuracy by 6%

● Develop mathematical models to analyze the software issues clients are facing Volunteer Data Analyst and Scientist, Togetherwell, California (Remotely) January 2022 — January 2023

● Led implementation of algorithms and models for social media analytics, identifying trends and patterns.

● Integrated social analytics tools, increasing user engagement by 30%. Financial Analyst Intern, Zana Africa Group

September 2022 — January 2023

● Analyzed financial documents, and created dashboards, leading to a 4% increase in marketing

● Developed data visualizations using SQL and Tableau, reducing manual reporting time by 2 hours weekly.

● Contributed to reports on product development and design, implementing an ETL process that improved data collection by 10%.

EDUCATION AND CERTIFICATION

● 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. Financial Engineering - Strathmore University PROJECTS

Portfolio optimization in NSE 25 index

● Researched downside risk framework versus the Markowitz mean-variance framework for the volatile Nairobi Stock Exchange (NSE) 25-index.

Deep Learning-based Demand Forecasting for Optimizing Inventory Management

● Developed a deep learning model using TensorFlow to forecast demand, resulting in a 13% improvement in inventory management.

OTHERS- Volunteer

Open-source project IFAD Challenge

● Collaborated on a project improving Digital Advisory for Rural Farmers in Zimbabwe, leading to a 70% increase in harvests.

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