Business Analyst, Data Analyst, Data Science, Machine Learning

MARYANNE KIARIE

Dallas, Texas 469-***-**** ****************@*****.***

LinkedIn GitHub Portfolio

SUMMARY

Business analyst with expertise in business intelligence, predictive analytics, statistical analysis, and machine learning.

Skilled at transforming complex data into clear, actionable insights to drive strategic decision-making. Proven experience

in data storytelling, developing insightful dashboards, building predictive models, cross-functional collaboration, and

delivering data-driven business solutions across diverse industries.

SKILLS

Technical: Python, R, PostgreSQL, Power BI, Tableau, Snowflake, ETL, DBT, SSIS, SAP, SAS, Azure, Linux, VBA, MS Excel.

Soft: Collaboration, Leadership, Adaptability, Communication, Accountability, Coachability, Timeliness.

CERTIFICATION

• Business Decision Analytics Graduate Certificate.

• Applied Machine Learning Graduate Certificate

• Oracle Cloud Infrastructure Generative AI Certificate.

EDUCATION

The University of Texas at Dallas December 2024

Master of Science, Business Analytics and Artificial Intelligence GPA 3.75

• Relevant Coursework: Advanced Statistics, Database Systems, Applied Machine Learning, Time Series Analysis,

Predictive Analytics, Prescriptive Analytics, Data Visualization, Data Warehousing, Data Modelling, Big Data,

Operations Analytics, Cloud Computing, Natural Language Processing (RAG, LLM, Pytorch, Generative AI).

Kenyatta University July 2021

Bachelor of Science, Industrial Chemistry with Management GPA 3.70

PROFESSIONAL EXPERIENCE

VCM Healthcare, Dallas, TX April 2025 – Present

Business Analyst

• Leveraged SQL and Excel for advanced data analysis on patient intake, discharge timelines, and service delivery

metrics, driving a 15% reduction in admission-to-service lag time.

• Designed and maintained interactive dashboards in Power BI to monitor key operational KPIs (e.g., visit

adherence rates, patient satisfaction, and nurse workload), enabling 20% improvement in case allocation

efficiency.

• Built predictive models using Python to forecast claim denial likelihood based on payer type, EHR

documentation completeness, and claim history, enabling targeted intervention and contributing to an 18%

reduction in insurance claim denials

Vox Technologies, Richardson, TX June 2024 – November 2024

Business Analyst

• Developed interactive Tableau dashboards to provide crucial, actionable insights to senior managers, enabling a

20% acceleration in executive decision making.

• Applied unsupervised machine learning algorithms (e.g. k-means clustering) and demographic feature

engineering to segment customers, improving targeted marketing campaign effectiveness by 15%.

• Performed statistically rigorous A/B tests, utilizing hypothesis testing and post-campaign KPI analytics to

identify high-impact strategies, improving campaign ROI by $ 22,700.

Neuce Corporation, Nairobi, KE July 2020 – August 2023

Supply Chain Analyst

• Utilized ERP system and SQL queries to analyze inventory metrics, optimize stock levels, and forecast demand,

improving supply chain efficiency by 10%.

• Built predictive models using Python (Scikit-Learn) and Excel’s Analytic Solver to forecast raw material

consumption, driving data-driven resource allocation and achieving $31,000 in annual savings.

• Implemented advanced time series forecasting techniques, using historical and seasonal data to predict order

surges, resulting in a 25% improvement in order fulfillment speed.

PROJECT EXPERIENCE

HOME LOAN APPROVAL PREDICTION MODEL

• Automated home loan approval process by developing machine learning models (Logistic Regression, Decision

Tree, KNN, and Random Forest) in Python using Scikit-Learn. Conducted EDA, hypothesis testing, and

visualization. Optimized model performance with hyperparameter tuning, selecting the best model based on F1

score.

• To view my projects, please visit ( GitHub or Portfolio )

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