You will get an ML model to fit your use case
Project details
You will get a model, documentation, output, and measurement of impact to help you leverage these findings according to your business needs. With 6 years of experience in data science, data engineering, machine learning, and analytics strategy, I possess not only the technical capabilities required to deliver a comprehensive model, but the business acumen to choose the right strategy for your needs and provide the "so what" for your output. I aim to serve as a trusted advisor, and I guarantee that the model type I provide will be tailored to the nature of your business, your data, and your decision-making needs. I will work closely with you throughout the process, providing complete transparency and soliciting feedback every step of the way. In every tier I offer, I will include comprehensive documentation to ensure usability of your model and results.
Machine Learning Tools
Google Data Studio, Microsoft Excel, Microsoft Power BI, pandas, Python, R, scikit-learn, SQL, Tableau, TensorFlowWhat's included
| Service Tiers |
Starter
$2,000
|
Standard
$6,000
|
Advanced
$8,000
|
|---|---|---|---|
| Delivery Time | 5 days | 15 days | 20 days |
Number of Revisions | 0 | 1 | 5 |
Number of Model Variations | 1 | 3 | 5 |
Number of Scenarios | 1 | 2 | 5 |
Number of Graphs/Charts | 1 | 1 | |
Model Validation/Testing | - | ||
Model Documentation | |||
Data Source Connectivity | - | ||
Source Code | - | - |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$200 - $500
Additional Revision
+$100
Additional Model Variation
(+ 5 Days)
+$200
Additional Scenario
(+ 5 Days)
+$200
Additional Graph/Chart
(+ 1 Day)
+$10
Model Validation/Testing
(+ 5 Days)
+$200
Data Source Connectivity
(+ 5 Days)
+$500
Source Code
+$1,000
Strategic Insights
(+ 10 Days)
+$1,000Frequently asked questions
About Madeline
AI/ML Marketing & Analytics Strategist
San Francisco, United States - 8:13 am local time
I am passionate about customer experience: how to quantify it, how to measure its impact, and how to deliver personalization using top of the line recommendation algorithms. Much of my past work has been in marketing analytics, including prospect generation/propensity modeling, identity graphing, A/B testing, and channel optimization. I have a depth of industry experience in retail, media/streaming, and travel.
Examples of Past Projects I could replicate for you:
- Design, deploy, and test impact of a comprehensive model to predict customer disengagement and intervene before significant impact occurs.
- Customer Segmentation algorithms and data-driven journey building for each customer type.
- Attribution and propensity modeling for channel optimization to reduce cost or increase efficiency of marketing efforts.
- Customer 360 generation to standardize and accelerate analytics & reporting
- identity mapping for fraud/free trial spam analysis and prevention.
- Product recommendation engines
- Tools and pipelining to become advanced analytics ready (including integration with existing cloud infrastructure or first time cloud engineering)
- Data visualization and ad hoc analytics for strategic insights.
I am extremely goal driven and team oriented. I love solving challenging problems and learning about the visions of the businesses I consult for. I am committed to not only meeting the specifications for your work, but proving out the impact it has for your organization. I hope not just to deliver models, but to build a relationship as a trusted advisor and champion your organization’s success and values. Looking forward to the opportunity to build something exciting together!
KEY SKILLS SUMMARY
Data Science/AI & ML Engineering * Application Design and Development * Business Analytics and
Insights
* Product Ownership
Steps for completing your project
After purchasing the project, send requirements so Madeline can start the project.
Delivery time starts when Madeline receives requirements from you.
Madeline works on your project following the steps below.
Revisions may occur after the delivery date.
Data Exploration & Model Design
Gain an understanding of the data universe and any existing data quality limitations. Understand the overall behavioral trends in the data. Align on the best approach for the model.
Model inclusion/exclusion criteria
Define who should be included in the training population for the model. Check distribution for individual attributes to determine outlier thresholds.