You will get Data Scientist | AI Performance & Statistical Analysis Expert

Project details
What sets my project apart is a data-driven approach that goes beyond surface analytics to uncover the why behind AI performance outcomes. By combining statistical failure analysis, hypothesis testing, and interactive visualization, I don’t just report metrics—I reveal actionable insights that improve model reliability and business decision-making. With hands-on expertise in Python, SQL, Tableau, and AI/ML evaluation, I deliver solutions that are both technically sound and strategically impactful.
Machine Learning Tools
ChatGPT, NumPy, pandas, Python, PyTorch, scikit-learn, SciPy, SQLWhat's included $100
These options are included with the project scope.
$100
- Delivery Time 7 days
- Number of Revisions 3
- Number of Model Variations 2
- Number of Scenarios 2
Frequently asked questions
About Efa
Data Scientist expert in statistical analysis, AI/ML model evaluation
Lagos, Nigeria - 2:53 pm local time
Innovative Data Scientist with over 5 years of experience transforming raw data into actionable insights
through statistical analysis, exploratory data analysis (EDA), and machine learning evaluation. Skilled in
performing root-cause failure analysis, benchmarking AI/ML models, and developing performance
dashboards to inform strategic decisions. Proficient in Python (pandas, NumPy, SciPy, Matplotlib,
Seaborn), SQL, Excel, Tableau, and Looker Studio. Experienced in deploying, monitoring, and evaluating
AI models at scale to improve operational efficiency. Adept at collaborating with cross-functional teams
to translate complex analytics into clear business value. Passionate about applying data-driven
approaches to solve real-world problems, including in the finance sector.
Steps for completing your project
After purchasing the project, send requirements so Efa can start the project.
Delivery time starts when Efa receives requirements from you.
Efa works on your project following the steps below.
Revisions may occur after the delivery date.
Exploratory Data Analysis (EDA)
Perform statistical analysis and visualization to uncover trends, correlations, and anomalies.
Model Evaluation & Failure Analysis
Analyze AI/ML model performance, identify root causes of failures, and benchmark results across tasks.