You will get an ML-powered business insights dashboard (churn, LTV, etc.)
Rising Talent
Project details
Which customers will churn next?
How much revenue is at risk from churn & cancellations?
What will demand look like next quarter?
If you need these answers now, you've come to the right place!
We train predictive ML models on YOUR data to accurately predict/forecast the metric that matters most to you:
Churn, Conversion, Revenue, Demand & more.
Then we turn the results into a clear comprehensive dashboard showing exactly where your business is impacted, so you can act early and maximize revenue.
IDEAL FOR: SaaS, fintech, logistics & e-commerce orgs with data they want to utilize now.
DELIVERABLES:
Offline dashboard: static HTML snapshot built on the data you share (not a live app),
PDF insights report,
Model performance charts & reports
Tier-wise deliverables explained in the FAQs.
DISCLAIMER: The trained model files (pkl/joblib etc) are NOT part of any delivery. They are our confidential, proprietary tooling, used to produce your predictions & dashboards, and retained by us to run your future orders efficiently. Need refreshed predictions on new data? Just place a new order in the lowest (cheapest) tier of this service & we'll run your now-ready models on your new data.
How much revenue is at risk from churn & cancellations?
What will demand look like next quarter?
If you need these answers now, you've come to the right place!
We train predictive ML models on YOUR data to accurately predict/forecast the metric that matters most to you:
Churn, Conversion, Revenue, Demand & more.
Then we turn the results into a clear comprehensive dashboard showing exactly where your business is impacted, so you can act early and maximize revenue.
IDEAL FOR: SaaS, fintech, logistics & e-commerce orgs with data they want to utilize now.
DELIVERABLES:
Offline dashboard: static HTML snapshot built on the data you share (not a live app),
PDF insights report,
Model performance charts & reports
Tier-wise deliverables explained in the FAQs.
DISCLAIMER: The trained model files (pkl/joblib etc) are NOT part of any delivery. They are our confidential, proprietary tooling, used to produce your predictions & dashboards, and retained by us to run your future orders efficiently. Need refreshed predictions on new data? Just place a new order in the lowest (cheapest) tier of this service & we'll run your now-ready models on your new data.
Machine Learning Tools
Microsoft Excel, NumPy, pandas, Python, Python Scikit-Learn, scikit-learn, SciPy, XGBoostWhat's included
| Service Tiers |
Starter
$300
|
Standard
$600
|
Advanced
$900
|
|---|---|---|---|
| Delivery Time | 3 days | 4 days | 6 days |
Number of Revisions | 1 | 2 | 3 |
Number of Model Variations | 1 | 1 | 1 |
Number of Scenarios | 1 | 1 | 1 |
Number of Graphs/Charts | 8 | 15 | 20 |
Model Validation/Testing | |||
Model Documentation | |||
Data Source Connectivity | - | - | - |
Source Code | - | - | - |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$100 - $300
Additional Revision
+$100Frequently asked questions
About Hammad
Data Scientist | Machine Learning & Data Services
Rawalpindi, Pakistan - 12:39 pm local time
• Exploratory Data Analysis including Correlation heat-maps, data distribution charts (hist, scatter, bar), Missing data & Box plots and summary of findings.
• Time-Series Analysis including Autocorrelation test plots (ACF, PACF), Stationarity tests (ADF, KPSS) and Trend Decomposition.
• Data Drift detection via KS_Statistic and p_values.
• Building of Machine Learning models. Training multiple models using different algorithms and comparing the results. Hyper-parameter Tuning. And building Dashboards & Reports from the trained models to provide Business Insights.
I've worked as a data scientist at multinational corporations such as AkzoNobel and British American Tobacco. I worked in a data analysis capacity in both of these roles, as well as building machine learning models using Python for various predictive tasks.
Specific examples of these tasks:
Using Neural Networks to build a model that predicts the quality of a type of paint based on the chemical composition. Then building a Genetic Algorithm based system that uses said neural network model to generate new paints as chemical compositions, that are predicted to be high quality.
Improving a machine learning model used to predict price elasticities for cigarette products, iterating upon original Linear Regression version by instead using XGB Regressor, Random Forests, ARIMA & SARIMAX etc. Then using the models to build a price scenario tool in Excel to make sales forecasts and predict revenue based on different price scenarios.
If you feel you might be in need of any of my services, please feel free to drop me a message so we can discuss. I've also uploaded services that I offer here on Upwork in my Project Catalog, each of which has a relevant item in my portfolio. Please check these out for an idea of what exactly I offer as final deliverables for each service.
Thanks for reading this, and I hope you'll reach out. Have a nice day!
Steps for completing your project
After purchasing the project, send requirements so Hammad can start the project.
Delivery time starts when Hammad receives requirements from you.
Hammad works on your project following the steps below.
Revisions may occur after the delivery date.
Data & Requirements Review
We will analyze the client's data & any info provided by them, and thereby plan out a design & configuration for model building and dashboard construction etc.
Model Building & Insights Construction
We will proceed to train multiple models (depending on tier & order), select the best one, generate predictions on the data, and build the insights dashboard & report etc.