I am a data professional proficient in modern data tools and methodologies, with hands-on expertise in data collection, cleaning, analysis, and visualization. I excel at working with complex datasets, deriving meaningful patterns, and presenting them in an impactful manner to support strategic decision-making. My combination of technical skills, attention to detail, and effective communication allows me to thrive in data-driven environments. I am passionate about using data to solve real-world problems and am eager to grow as an aspiring Data Scientist, staying updated with advancements in AI and machine learning.

Olieng’o Ronald

I am a data professional proficient in modern data tools and methodologies, with hands-on expertise in data collection, cleaning, analysis, and visualization. I excel at working with complex datasets, deriving meaningful patterns, and presenting them in an impactful manner to support strategic decision-making. My combination of technical skills, attention to detail, and effective communication allows me to thrive in data-driven environments. I am passionate about using data to solve real-world problems and am eager to grow as an aspiring Data Scientist, staying updated with advancements in AI and machine learning.

Available to hire

I am a data professional proficient in modern data tools and methodologies, with hands-on expertise in data collection, cleaning, analysis, and visualization. I excel at working with complex datasets, deriving meaningful patterns, and presenting them in an impactful manner to support strategic decision-making. My combination of technical skills, attention to detail, and effective communication allows me to thrive in data-driven environments. I am passionate about using data to solve real-world problems and am eager to grow as an aspiring Data Scientist, staying updated with advancements in AI and machine learning.

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Experience Level

Expert
Intermediate
Intermediate
Intermediate

Language

English
Fluent
Swahili
Fluent

Work Experience

Data clerk at Action for child neurodevelopment(ACND)
May 10, 2023 - October 8, 2023
- Collected and validated data from primary & secondary sources, improving dataset accuracy by 15%. - Cleaned and transformed large datasets in Excel, reducing analysis time by 20%. - Conducted statistical analysis and created visualizations in R, generating insights that guided project recommendations. - Enhanced data collection workflows, improving efficiency by 25%. - Presented key findings to stakeholders, supporting data-driven decisions.
Research and Data Entry Clerk
September 1, 2023 - August 13, 2025
Conducted extensive data collection from primary and secondary sources, ensuring accuracy and consistency. Performed data entry and cleaning using advanced MS Excel features to prepare datasets for analysis. Utilized R Studio to analyze complex datasets, generating detailed visualizations and reports to inform organizational decision-making. Collaborated with team members to refine data collection processes, enhancing project efficiency. Prepared presentations and reports for stakeholders showcasing key findings and actionable recommendations.

Education

Bachelors of Science at Kirinyaga University
August 13, 2023 - August 13, 2024
Time Series Analysis (Python, R): Forecasted asset prices using ARIMA & SARIMA; identified seasonal trends for better financial planning. - Predictive Modelling in R: Built a revenue growth forecast model with 90% accuracy, enabling informed strategy recommendations. - Inventory Optimization (Python): Analyzed stock data, identifying overstocked items and reducing holding costs by 20%.
Bachelor of Science in Applied Statistics at Kirinyaga University
January 1, 2020 - September 1, 2024
Kenya Certificate of Secondary Education (KCSE) at Our Lady of Fatima Secondary School
January 1, 2014 - December 1, 2018
Diploma in Data Analytics at UniAthena
January 1, 2024 - July 1, 2024

Qualifications

Degree certificate
August 28, 2019 - August 13, 2024
Time Series Analysis (Python, R): Forecasted asset prices using ARIMA & SARIMA; identified seasonal trends for better financial planning. - Predictive Modelling in R: Built a revenue growth forecast model with 90% accuracy, enabling informed strategy recommendations. - Inventory Optimization (Python): Analyzed stock data, identifying overstocked items and reducing holding costs by 20%.
BSc Applied Statistics (Kirinyaga University)
January 1, 2020 - September 1, 2024
Power BI for Data Analytics | Coursera/UniAthena
January 1, 2024 - July 1, 2024
Foundations of Data Science
January 1, 2024 - August 13, 2025

Industry Experience

Education, Professional Services, Financial Services, Software & Internet, Other
    paper Data analysis projects
    📊 Loan Risk & Market Data Analysis Analyzed loan datasets and World Bank economic indicators to deliver actionable insights. Loan Analysis: Cleaned and preprocessed real-world loan data, handled missing values, encoded categorical variables, and addressed class imbalance with SMOTE. Conducted exploratory data analysis (EDA) using Pandas, Seaborn, and Matplotlib, creating correlation heatmaps and distribution plots to reveal patterns in loan repayment behavior. Market & Connectivity Analysis: Collected and analyzed internet and mobile usage data across African countries using the wbdata API. Performed data wrangling, imputation, and visualization to compare technology adoption rates and assess opportunities for civic tech solutions. Impact: Produced clear, data-driven visual reports that informed decision-making and strategic planning. Skills Used: Python, Pandas, Seaborn, Matplotlib, Plotly, Data Cleaning, EDA, API Data Extraction, SMOTE, Data Visualization