You will get a predictive machine learning model (medical diagnosis, churn, etc.)
Top Rated
Project details
I will deliver a complete machine learning solution, from raw data to a fully validated model.
I bring a unique combination of actuarial rigor and hands-on data science expertise to deliver robust, production-ready classification or regression models. My background in insurance risk modeling ensures a deep understanding of feature engineering, statistical validation, and real-world business constraints. Unlike generic modeling services, I focus on end-to-end clarity: from detailed data exploration and custom preprocessing to algorithm selection, hyperparameter tuning, and interpretability. I prioritize reproducibility and transparency, providing well-documented code, thorough reports, and actionable insights so you can trust and deploy the model with confidence.
I bring a unique combination of actuarial rigor and hands-on data science expertise to deliver robust, production-ready classification or regression models. My background in insurance risk modeling ensures a deep understanding of feature engineering, statistical validation, and real-world business constraints. Unlike generic modeling services, I focus on end-to-end clarity: from detailed data exploration and custom preprocessing to algorithm selection, hyperparameter tuning, and interpretability. I prioritize reproducibility and transparency, providing well-documented code, thorough reports, and actionable insights so you can trust and deploy the model with confidence.
Machine Learning Tools
Microsoft Excel, MLflow, NumPy, pandas, Python, Python Scikit-Learn, SciPy, XGBoostWhat's included $1,000
These options are included with the project scope.
$1,000
- Delivery Time 7 days
- Number of Revisions 1
- Number of Model Variations 2
- Number of Scenarios 7
- Number of Graphs/Charts 7
- Model Documentation
- Source Code
Optional add-ons
You can add these on the next page.
Additional Revision
+$100
Additional Model Variation
(+ 3 Days)
+$200
Additional Graph/Chart
(+ 1 Day)
+$50
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Theo Z.
Jan 27, 2026
Python Data Analyst for Motorsport Telemetry (Plotly + Light ML)
Marina is very professional and a nice person to work with.
I would work with her again.
I would work with her again.
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Marco L.
May 12, 2025
Senior Data Analyst Business Case
AK
Artem K.
Jan 22, 2025
Data Analyst and Data Scientist for Medical Data Analysis
Marina did an excellent job analyzing our medical dataset and delivering actionable insights. She was thorough, detail-oriented, and communicated clearly throughout the project. The visualizations and statistical analyses were exactly what we needed to inform our next steps. Highly recommend her for any data analysis tasks!
About Marina
Data Scientist | Machine Learning | Data Analyst | Python
100%
Job Success
Prague, Czech Republic - 1:22 pm local time
🧠 Expert in building high-accuracy machine learning models
🔢 Skilled in delivering reliable, data-driven solutions
Check out what I offer:
🚀 Machine Learning & Prediction Systems
- Analyze and train machine learning models, including binary classification, linear regression, and multi-class classification
- Apply advanced machine learning techniques like XGBoost, Decision Trees, and Support Vector Machines to create accurate predictions
🚀 Data Analysis & Modelling
- Perform comprehensive Exploratory Data Analysis (EDA) to uncover patterns, detect outliers, and reconcile the data
- Generate insightful reports from large datasets using data visualization tools and statistical analysis
🚀 Data Processing & Transformation
- Data integration, validation, and transformation to ensure quality and consistency
- Expertise in handling missing data, data deduplication, and outlier detection
- Proficient in feature engineering, preparing datasets for robust machine learning applications
🚀 Automation & Workflow Optimization
- Develop Python-based solutions to automate workflows and enhance efficiency
- Provide evaluation and data analysis on Excel, leveraging VBA and advanced formulas
Tools & Skills
🔹 Expertise in AI/Machine Learning:
Linear Regression, Logistic Regression, XGBoost, Decision Tree, Random Forest, Support Vector Machine, PCA, K-mean
🔹 Programming Environment/Tools:
Python (numpy, panda, matplotlib, scikitlearn), SQL, VBA, Excel
🔹 Specialisation:
Data Scientist, Data Analyst, Machine Learning, IT Developer, Python, SQL, Excel
🔹 Communication:
Strong skills to present findings effectively to stakeholders
If you're looking for an expert in Python and SQL, familiar with advanced machine learning and data visualization tools, who can analyze large datasets and deliver actionable insights, let’s connect!
Steps for completing your project
After purchasing the project, send requirements so Marina can start the project.
Delivery time starts when Marina receives requirements from you.
Marina works on your project following the steps below.
Revisions may occur after the delivery date.
Data Analysis & Exploration
Examine and visualize your dataset (distributions, correlations, missing values). Identify key features, outliers, and potential data issues
Data Cleaning & Preprocessing
Handle missing values, inconsistent categories, and invalid entries. Encode categorical variables, scale/normalize numerical features, engineer new predictors. Split data into training/validation/test sets (including stratification if needed)