You will get powerful data insights from an expert in predictive analytics
Project details
I will unlock the full potential of your data. In the Basic package, I'll clean and preprocess your data, providing key metrics in just 3 days. Upgrade to the Standard package for detailed statistical analysis, data visualization, and a comprehensive report within 5 days. For unparalleled insights, choose the Premium package, enjoy advanced statistical analysis, machine learning for predictive modeling, custom data dashboards, and priority support in 7 days. I bring 3 years of expertise in time-series analysis and statistical modelling to ensure accurate, precise, and actionable insights. Empower your decision-making with data-driven strategies. Let's transform your data into a strategic asset.
Machine Learning Tools
Keras, Microsoft Excel, NumPy, pandas, Python, Python Scikit-Learn, PyTorch, R, SAS, scikit-learn, SciPy, SQL, Tableau, TensorFlowWhat's included
| Service Tiers |
Starter
$150
|
Standard
$250
|
Advanced
$400
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 7 days |
Number of Revisions | 2 | 3 | Unlimited |
Number of Model Variations | 0 | 2 | 3 |
Number of Scenarios | 0 | 2 | 3 |
Number of Graphs/Charts | 1 | 3 | 10 |
Model Validation/Testing | - | ||
Model Documentation | - | ||
Data Source Connectivity | - | - | |
Source Code | - | - |
About Ariel
Data Scientist | Data Analyst | ML Engineer Specializing in Finance
Millis, United States - 3:56 pm local time
Key Accomplishments:
• Developed a high-performing Bitcoin trading algorithm using statistical models, achieving an 11% return over three months, and accurately predicting volatility through a rolling window forecast with a one-second horizon.
• Developed and deployed real-time trading algorithms using Python, resulting in automated, profitable trading decisions.
• Optimized a Machine Learning ETL pipeline, automating the ingestion and cleaning of 17 million rows with Python scripts, resulting in a remarkable 68% efficiency boost.
• Applied time series analysis(rolling window forecast) to predict Bitcoin stock returns for the six months following July 2021, achieving a forecast accuracy with an MSE of 1.3% and RMSE of less than 1%.
• Led pattern recognition in social media discourse, addressing challenges in Twitter data scraping and enhancing analytical precision through event correlation and sentiment analysis techniques.
Technical Skills
Programming Languages: Python, Java, R, SQL, MongoDB, SAS
Python Libraries: Django, NumPy, SciKit Learn, Seaborn, Statsmodels, Pandas, PyTorch, TensorFlow, Keras
BI Software: PowerBI, Tableau, Excel, SAP
ML Model: Supervised, Unsupervised, KNN, K-Means, Neural Networks, Logistic Regression, Random Forest
DevOps Tools: Docker, Redis ; Scripting Languages: Bash
Databases: SQL, MongoDB, InfluxDB, and Neo4j
Markdown Languages: HTML, Markdown, LaTeX
Command Languages: Bash, Linux/UNIX, Git
Steps for completing your project
After purchasing the project, send requirements so Ariel can start the project.
Delivery time starts when Ariel receives requirements from you.
Ariel works on your project following the steps below.
Revisions may occur after the delivery date.
Introductory Call
Here we go over your specific needs for the project, the timeline, and the final deliverables.
Follow Ups and Revision
I will follow up with you on project progress, address additional questions and feedback you may have, and update you on additional requirements as needed.