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You will get End-to-End Data Workflow: Cleaning, EDA, and Predictions

Denise R.Status: Offline
Denise R.
Play video

Let a pro handle the details

Buy Machine Learning services from Denise, priced and ready to go.
Denise R.Status: Offline
Denise R.
Play video

Let a pro handle the details

Buy Machine Learning services from Denise, priced and ready to go.

Project details

You will get a complete data science workflow—from cleaning and analysis to prediction—delivered in a well-documented notebook. I help businesses and individuals uncover insights, solve problems, and forecast outcomes using Python, EDA, and machine learning. My process is transparent, reproducible, and tailored to your needs.
Machine Learning Tools
NumPy, pandas, Python, Python Scikit-Learn, XGBoost
What's included
Service Tiers Starter
$43
Standard
$77
Advanced
$125
Delivery Time 7 days 7 days 7 days
Number of Revisions
123
Number of Model Variations
123
Number of Graphs/Charts
4610
Model Validation/Testing
-
-
Model Documentation
-
-
Data Source Connectivity
-
-
-
Source Code
-
-
Optional add-ons You can add these on the next page.
Fast Delivery
+$30 - $50
Additional Revision
+$10
Additional Model Variation
+$30
Additional Scenario
+$25
Additional Graph/Chart
+$13
Model Validation/Testing
+$25
Model Documentation
+$33
Data Source Connectivity
+$20
Source Code
+$20
Insight Presentation Slide (+ 1 Day)
+$40
Deliverabale in PDF or HTML Format (+ 1 Day)
+$15
Error Analysis/Bias Diagnostics (+ 1 Day)
+$35
Denise R.Status: Offline

About Denise

Denise R.Status: Offline
Data Consultant | Cleaning, Statistical Testing & Predictive Modeling
Tangerang, Indonesia - 12:41 am local time
I'm a data analyst who turns raw data into meaningful insights through structured, hands-on workflows. I may be new to Upwork, but I'm not new to solving problems with data. With Python and Jupyter Notebook as my main tools, I handle projects from data extraction to modeling with care and clarity.

What I can help you with:
- Data extraction & cleaning
- Exploratory Data Analysis with Python
- ETL workflows and structured pipelines
- Time series forecasting & trend analysis
- Statistical testing & model evaluation
- Visual storytelling in Jupyter Notebook

Steps for completing your project

After purchasing the project, send requirements so Denise can start the project.

Delivery time starts when Denise receives requirements from you.

Denise works on your project following the steps below.

Revisions may occur after the delivery date.

🔸 Step 1 – Review Dataset

I’ll examine your dataset to understand its structure, size, missing values, and data types before proceeding.

🔸 Step 2 – Data Cleaning

I’ll clean the dataset by handling null values, removing duplicates, fixing inconsistent formats, and preparing the data for analysis.

Review the work, release payment, and leave feedback to Denise.