Muthomi Nicholus

Data Science, Data Analyst

107-10406 Timau, Kenya muthominicholus22@gmail.com +254 770 600886

PROFILE

Hi_ I am a data scientist with strong skills in Python, SQL, Excel and Power BI. I specialise in transforming unstructured data into meaningful insights that improve business decision-making and drive growth. I work across the data lifecycle, from problem definition and preparation to analysis, modeling and reporting. My goal is to deliver clear, data-driven solutions that connect technical outputs with business impact.

Education

Certificate in Data Science

Africa Leadership Experience 2025

Skills

  • Programming & Analysis: Python (pandas, NumPy, scikit-learn) SQL, Excel
  • Machine Learning: Regression, Classification, Clustering, Model Validation
  • Visualisation & BI Tools: Excel, Power BI, Matplotlib, Seaborn
  • Data Handling: Data cleaning, transformation and exploratory analysis
  • Soft Skills: Problem-solving, teamwork, communication, continuous learning

Awards

2nd Place in Kaggle Competition

ALX Competition ~ 2025

Achieved 2nd place in the ALX Movie Recommendation Project 2025 Kaggle competition by building and optimising a high-performing recommendation model.

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LANGUAGES

  • English
  • Swahili

EXPERIENCE

Data Entry

Mount Kenya Ewaso Water Partnership (MKEWP)

Responsibility: Led farmer outreach, collected data on farming and fuel use, promoted energy-efficient stoves and used soil testing results to guide land use and crop choices for improved productivity.
Achievement: Reduced firewood use by 40% through support for energy-efficient stove adoption. Increased farm productivity by 25% through targeted soil testing and crop planning.

PROJECTS

Segment customers based on purchasing behavior to optimise marketing and reduce return rates.

Personal

Responsibility: Analysed over 70,000 transactions, created features for clustering and used K-means to segment customers into four groups based on recency, frequency and return behavior.
Achievement: Reduced return rates by 18% by targeting high-risk customers with personalised discounts.

Develop a machine learning model to predict flight prices in India and integration it to app

Personal

Responsibility: Cleaned and analysed flight booking data, engineered features, built regression models and deployed a Streamlit web app to deliver real-time ticket price predictions based on user inputs.
Achievement: Improved price prediction accuracy by 15% with Random Forest (R² 0.95), revealed 40% holiday price gaps and cut user search time by 30% through a Streamlit app.

Sentiment analysis of Hilton Hotel reviews in London to measure customer satisfaction

Personal

Responsibility: Performed text preprocessing on 5000+, cleaned TripAdvisor reviews, utilising tokenization and lemmatization, followed by the application of TF-IDF. Multiple models including Logistic Regression, Random Forest, XGBoost and LSTM were trained for sentiment classification.
Achievement: Achieved 89% accuracy with LSTM, identifying 72% positive and 18% negative reviews, while highlighting recurring issues with staff service and room cleanliness and providing insights for hotel management to enhance guest experience.

Analysed Olist e-commerce data to improve efficiency and customer experience

Personal

Responsibility: Cleaning data, analysing customer behavior, regional performance and building RFM segments to guide retention and logistics strategies.
Achievement: Drove regional marketing and logistics changes by revealing São Paulo 41.9% revenue share and key delivery, payment and product trends.

Monitoring SLA performance and improving service case resolution and satisfaction in UK.

Personal

Responsibility: Processed 30,000+ service cases, segmented data, built SLA dashboards, tracked trends and integrated CSAT/CES metrics.
Achievement: Identified 90% of pending cases met SLA, tracked 92% resolution, flagged spikes in failed transactions and fraud and mapped branch performance across six cities.

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Certificates

Professional Skills for the Digital Workforce.

Builds essential skills for the digital job market. Focuses on communication, leadership and career readiness for high-demand roles across industries.

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Data Science.

Developed practical skills in data analysis and visualization on Power BI, Excel, Python, SQL, Statistics, Machine Learning and Deep Learning and its implementation.

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References

Kimathi Gikunda Dennis

Mount Kenya Ewaso Water Partnership (MKEWP)

  • (+254) 703 122151
  • dennis.gikunda@mkewp.org