You will get machine learning models and predictive analytics using Python or R
Top Rated
Project details
Looking for accurate, reliable, and explainable machine learning solutions? I help businesses, researchers, startups, and organizations transform raw data into predictive insights using Python and R.
I develop custom machine learning models for classification, regression, clustering, forecasting, anomaly detection, customer segmentation, risk prediction, and business intelligence. Every project follows a structured workflow including data cleaning, feature engineering, model selection, hyperparameter tuning, validation, performance evaluation, and interpretation.
I work with algorithms including Linear Regression, Logistic Regression, Decision Trees, Random Forest, XGBoost, Gradient Boosting, Support Vector Machines, K-Means Clustering, Naïve Bayes, Neural Networks, and Time Series Forecasting models. Where appropriate, I also develop Natural Language Processing (NLP) and deep learning solutions.
Every delivery includes clean, well-documented code, performance metrics, professional visualizations, and practical recommendations that support confident decision-making since I deliver reproducible, high-quality machine learning solutions tailored to your objectives.
I develop custom machine learning models for classification, regression, clustering, forecasting, anomaly detection, customer segmentation, risk prediction, and business intelligence. Every project follows a structured workflow including data cleaning, feature engineering, model selection, hyperparameter tuning, validation, performance evaluation, and interpretation.
I work with algorithms including Linear Regression, Logistic Regression, Decision Trees, Random Forest, XGBoost, Gradient Boosting, Support Vector Machines, K-Means Clustering, Naïve Bayes, Neural Networks, and Time Series Forecasting models. Where appropriate, I also develop Natural Language Processing (NLP) and deep learning solutions.
Every delivery includes clean, well-documented code, performance metrics, professional visualizations, and practical recommendations that support confident decision-making since I deliver reproducible, high-quality machine learning solutions tailored to your objectives.
Machine Learning Tools
GitHub Copilot, GPT-3, Microsoft Power BI, NLTK, NumPy, pandas, PyMC, Python, Python Scikit-Learn, PyTorch, R, scikit-learn, SciPy, Scrapy, Sonnet, SPSS, TensorFlowWhat's included
| Service Tiers |
Starter
$150
|
Standard
$250
|
Advanced
$550
|
|---|---|---|---|
| Delivery Time | 5 days | 9 days | 14 days |
Number of Revisions | 2 | 3 | Unlimited |
Number of Model Variations | 1 | 3 | 5 |
Number of Scenarios | 1 | 3 | 5 |
Number of Graphs/Charts | 4 | 10 | 20 |
Model Validation/Testing | |||
Model Documentation | |||
Data Source Connectivity | - | ||
Source Code |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$60 - $250
Additional Revision
+$80
Additional Model Variation
(+ 2 Days)
+$150
Additional Scenario
(+ 2 Days)
+$150
Additional Graph/Chart
(+ 1 Day)
+$50
Data Source Connectivity
(+ 2 Days)
+$80
Hyperparameter Tuning
+$180
Model Retraining Pipeline
(+ 2 Days)
+$250
Executive Presentation (Slides)
(+ 2 Days)
+$120Frequently asked questions
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SB
Saskia B.
Dec 2, 2025
60 minute consultation
KK
Kenneth Steven K.
Oct 5, 2025
Support Data Analysis and Report
TV
Tom V.
Mar 21, 2025
Bayesian Statistics & Data Science: R Code Editing for Meta-Analysis, Jags Language
Philip communicated well, and clearly, and performed the task in a timely manner. I needed a hierarchical Bayesian meta-analysis script for R, and Philip created one. As with all such scripts, there is a testing and refinement stage that goes beyond the scope of the assignment I gave Philip. I didn't know how complicated such processes can be at the time, but I do now. He did really well within the scope of the project. Philip also strikes me as someone who cares about what he's doing. He takes the time to get to know the project and requirements and create appropriate deliverables. If you have a complex project that requires a lot of back and forth communication, Philip is good for that.
NP
NIKOLAOS P.
Apr 24, 2024
[SPSS] Statistics 7 tasks
Philip is one of the most competitive and knowledgable experts in his field.. 100% professional, effective and responsible. He delivered quality work in time, gave valuable insights, and was there afterthe delivery for supporting me. Very intelligent.. A true gem. Recommended. Hope to work with him again soon.
SS
Suzanne S.
Apr 15, 2024
Statistical Analysis
About Philip
Statistician & Data Analyst | Python, R, SQL | Machine Learning
100%
Job Success
Nairobi, Kenya - 11:20 am local time
Data only becomes valuable when it answers the right question. I am a certified statistician and data analyst with 5+ years of experience turning complex data into actionable insights. I begin by understanding your challenge, then design a clear, structured approach focused on finding the answers your data can genuinely support. Every conclusion is grounded in careful reasoning and reliable analysis, giving you clear, dependable results you can trust and the confidence to make informed decisions.
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WHAT I HELP YOU DO
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✔ Find what's actually driving your numbers, not just what they show
✔ Replace assumptions with reliable, evidence-based answers
✔ Identify patterns, relationships, and emerging trends in your data
✔ Test ideas and validate results with appropriate statistical analysis
✔ Build dashboards and reports that highlight what matters most
✔ Turn messy or complex data into clear, actionable answers
✔ Support confident decisions with analysis you can trust
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SERVICES
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📊 Statistical Analysis
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Regression, ANOVA/ANCOVA/MANOVA, hypothesis testing, Bayesian statistics, time series and forecasting, survival analysis, mixed models, factor analysis (EFA/CFA), SEM, meta-analysis, experimental design.
🤖 Data Science & Machine Learning
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Predictive modeling, classification, clustering and segmentation, NLP, feature engineering, model validation, explainable ML.
📈 Business Intelligence & Data Visualization
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KPI design, Power BI and Tableau dashboards, executive reporting, A/B testing, marketing and financial analysis, operational analytics.
🎓 Survey & Research Analysis
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Survey design and analysis, questionnaire validation, reliability and validity testing, sampling design, mixed-methods analysis, publication-ready statistical reporting.
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INDUSTRIES
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Business, startups, healthcare, finance, government, NGOs, manufacturing, marketing, engineering, and academic research. Anywhere a decision depends on the data being right.
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HOW I WORK
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1️⃣ Define the goal and what a good answer looks like
2️⃣ Review, clean, and validate the data
3️⃣ Choose the method that fits the problem
4️⃣ Build, test, and validate the model
5️⃣ Deliver clear insights, visualizations, recommendations, and reproducible outputs
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WHY CLIENTS HIRE ME
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✔ I have 5+ years of experience turning complex data into clear, actionable decisions
✔ I am ⭐Top Rated⭐ with 100% Job Success across all completed projects
✔ I have a Master's in Data Science and a degree in Statistics
✔ I am Skilled in Python, R, SPSS, Stata, SQL, Power BI, and Excel
✔ I combine statistical expertise with real-world experience across diverse industries
✔ I provide end-to-end data analysis, modelling, and reporting.
✔ I choose the right statistical methods for your data and objectives.
✔ I explain every result clearly so that you can use it with confidence.
✔ I communicate clearly, deliver on time, and provide practical insights.
✔ I deliver high-quality work that provides real value for your investment.
My goal isn't to produce more analysis. It's to help you turn raw data into reliable evidence, practical insights, and decisions you can act on with confidence.
If you're looking for analysis you can build real decisions on, let's talk about your project.
Steps for completing your project
After purchasing the project, send requirements so Philip can start the project.
Delivery time starts when Philip receives requirements from you.
Philip works on your project following the steps below.
Revisions may occur after the delivery date.
Understand the Problem
I will review your objectives, dataset, target variable, and success criteria to design the most suitable machine learning approach.
Prepare the Dataset
I will clean the data, engineer features, handle missing values, detect outliers, and prepare the dataset for modelling.