You will get Machine Learning-Based Prediction Models
Project details
Build accurate, customized machine learning models that deliver real results.
I specialize in predictive modeling using Python and scikit-learn, whether you're forecasting survival time, customer churn, sales trends, or classification outcomes. What sets me apart is my ability to not just build technically sound models — but to translate those results into clear, decision-ready insights. You'll get clean code, visual reports, and practical recommendations tailored to your data and business goals.
I specialize in predictive modeling using Python and scikit-learn, whether you're forecasting survival time, customer churn, sales trends, or classification outcomes. What sets me apart is my ability to not just build technically sound models — but to translate those results into clear, decision-ready insights. You'll get clean code, visual reports, and practical recommendations tailored to your data and business goals.
Machine Learning Tools
pandas, Python, Python Scikit-Learn, PyTorch, scikit-learn, SQL, TextBlob, XGBoostWhat's included
| Service Tiers |
Starter
$70
|
Standard
$140
|
Advanced
$220
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 7 days |
Number of Revisions | 1 | 2 | 3 |
Number of Model Variations | 1 | 2 | 3 |
Number of Scenarios | 0 | 1 | 2 |
Number of Graphs/Charts | 0 | 1 | 0 |
Model Validation/Testing | - | - | |
Model Documentation | - | - | |
Data Source Connectivity | - | ||
Source Code |
Frequently asked questions
About Mahnoor
Data Analyst & ML Modeler | Python, Scikit-learn, SQL, NLP, Power BI
London, United Kingdom - 12:42 pm local time
I blend machine learning, storytelling, and strategy to help teams get real insights that drive action. Whether it’s dashboards, predictive models, or scraping chaotic text data off the internet, I love diving in and building something valuable.
What I’m good at:
Predictive modeling — classification, clustering, survival analysis
Text mining & NLP — Reddit scraping, sentiment detection, emotional themes
Visual storytelling — Power BI, Python dashboards, SQL reports
Cleaning & pipelines — ETL workflows, OLAP cubes, API integration
Projects I’ve tackled recently include:
Predicting cancer survival time with regression models
Segmenting 1M+ banking transactions using K-means
Scraping and analyzing 4K+ Reddit comments for emotional trends
Building a calculation engine for carbon points via C02 emmissions
I spent years in B2B marketing before transitioning into data science, so I’m fluent in both technical and business. If you need someone who can write clean code and connect the dots to real-world impact, that’s where I come in.
Let’s chat about what you’re building. I’d love to help.
Steps for completing your project
After purchasing the project, send requirements so Mahnoor can start the project.
Delivery time starts when Mahnoor receives requirements from you.
Mahnoor works on your project following the steps below.
Revisions may occur after the delivery date.
Step 1: Review and Explore Your Dataset
I examine your dataset to understand its structure, clean missing or inconsistent values, and prepare it for modeling.
Step 2: Build and Train ML Model(s)
I build and train one or more machine learning models (e.g., regression, classification, survival), evaluate performance using appropriate metrics, and select the best approach.