Real-Estate Workforce HR Dashboard
Built HR dashboard visualising headcount, gender mix and seniority. Revealed payroll and staffing trends, cutting project turnaround to 61 hours with 97.45% task completion.
Nicholus Muthomi_
Data Scientist, Data analyst
- PHONE:
- +254 770 600886
- EMAIL:
- muthominicholus22@gmail.com
- ADDRESS:
- 107-10406 Timau, Kenya
Hi_
I'm a data scientist specialised in transforming unstructured data into useful information that inturn will increase organisations revenue. I handle the full process from defining problems and preparing data to developing models and delivering business recommendations. I combine technical expertise with business understanding to create practical data solutions. I work with Excel, Statistics, Power BI, Python and SQL to clean, analyse and visualise data to uncovering trends and building machine learning models that align with business goals.
I value clear communication and translate intricate analysis into dashboards, reports and presentations that support decision-making. I approach work with an eye of reason, commitment to quality and focus on business problem solving. I value collaboration in team environments and maintain a strong commitment to continuous learning.
DOWNLOAD CVServices_
PREPROCESSING DATA
Handling missing values, outliers, encoding, normalisation and ensuring data quality for trustworthy analysis in order to clean and prepare raw data.
VISUALIZATION
Utilising Matplotlib, Seaborn, Plotly, Power BI and Excel to create interactive dashboards and lucid charts that facilitate decision-making and reveal insights.
MODELLING
Deep Learning and Machine Learning tools for constructing and training ML and DL neural networks I design systems that can mimic human intelligence.
FEATURE ENGINEERING
Enhancing model performance by creating meaningful variables from existing data through transformations, aggregations and domain-specific computations.
COMMUNICATION
Composing concise reports and making presentations that inform stakeholders, both technical and non-technical of findings and suggestions.
24/7 SUPPORT
Delivering continuous support for urgent data requirements across time zones, dashboard maintenance, model updates and data bug issues.
Resume_
2023 - 2024
Data Entry
Mount Kenya Ewaso Water Partnership
Conducted a rural water access project, gathering data on household water use, interviewing community members and promoting sustainable usage and resilience in water-scarce areas.
2025
Certificate in Data Science
African Leadership Experience
Developed practical skills in statistical analysis, machine learning and data visualisation using Python, SQL, Excel and Power Bi that have enhanced my analytical and problem-solving abilities for practical projects.
Skills_
DATA ANALYSIS
Excel
80%SQL
90%PowerBI
80%Python
85%DATA SCIENTIST
Python
90%NLP
80%Machine Learning
85%Deep Learning
85%Work_
Market Volatility
Developed LSTM model for GOOG stock prediction using 20-year data, technical indicators and volatility analysis. Deployed in Streamlit dashboard for accurate forecasts.
Spotify Analysis
Analysed 20k+ tracks to identify audio features driving popularity. Found energy, danceability and loudness key for viral success. Compared Spotify/YouTube to guide release strategy.
Retail Store Analysis
Analysed 2,000+ US retail transactions to optimise sales strategy. Electronics drove revenue, Beauty gave top margins and seasonal peaks plus high-value customer segments informed targeted campaigns
Brazil Olist
Analysed 100k+ Olist orders to boost sales and logistics. Found regional growth, flagged delivery delays and segmented customers for targeted retention campaigns.
E-commerce Sales Analysis
Used K-means clustering to analyse e-commerce customers by spending, returns and behavior. Identified high-value customers to improve targeted marketing and boost retention and enhancing overall sales.
Fifa Cup 22 Analysis
Processed data on 16k+ players to identify performance patterns. Built similarity algorithms using K-Means and hierarchical clustering to support scouting and team selection.
Transportation Logistics Dashboard
Built a dashboard to track driver income, trips, expenses, cargo types and compliance. Enabling managers to optimise routes and schedules through monthly cost and performance insights.
Customer Support & Banking Services Dashboard
Built dashboard tracking service KPIs across banking products, raising SLA compliance to 94% and enabling teams to prioritise issues through dynamic trend analytics.
Movie Recommendation System
Developed a collaborative filtering recommendation system that predicts user preferences by evaluating user ratings. Implemented as a customised recommendation web application with Streamlit.
Hilton Hotel Sentiment
Analysed 5,000 Hilton London reviews with NLP and machine learning, built Logistic Regression, Random Forest, XGBoost and LSTM models, revealed 72% positive sentiment and flagged service and cleanliness issues.
Telco Customer Churns
Developed a machine learning model that can forecast telecom customer attrition, allowing for proactive retention tactics to lower attrition and boost income.
Flight Price Predictions
Developed a model predicting Indian flight ticket prices from historical data. Deployed a Streamlit app enabling users to estimate costs for different travel scenarios.
Saudi Service-Request & Payout Portal
Developed a dashboard that shows 562K+ SAR payouts for 560 requests broken down by service type, region and month. Riyadh's 23% share was flagged and daily requests were reduced to 4.38.
UK Online E-commerce
Conducted RFM and market basket analysis on 500K+ transactions to segment customers and recommend products. Identified segments driving 80% of revenue and uncovered product affinities for cross-selling.
Latest Posts_
October 30, 2025
DATA QUALITY FOR BIAS RESULTS: PREVENTING AI-INDUCED HALLUCINATIONS
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UTILIZE MACHINE LEARNING TO IMPROVE EMPLOYEES RETENTION RATES
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WHY GOOD DATA DOES'T GUARANTEE GOOD DECISION
It’s easy to assume that more data or cleaner dashboards will...