Principle Data Scientist
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- 01.02.2024
Kurzvorstellung
Principle Data Scientist in Finance, BI with ML and Mathematical Modeling.
Have full experience in Data Cleaning, Processing, Analysis.
-Build suitable ML Model
-Genetic Algorithm for Fine-Tuning
-PySpark, Apache Hadoop
Auszug Referenzen (2)
"Worked with S. B."
12/2021 – 2/2023
Tätigkeitsbeschreibung
• Own a domain end-to-end, understand the business problems, define and monitor key metrics, identify opportunities and drive conversations around where to invest engineering resources.
• Measure business performance, develop core metrics and create dashboards to track and understand them.
• Identify data and metrics and analyze needs for business partners.
• Initiate, develop and maintain data pipelines and data models that powers dashboards and data products with outstanding craftsmanship.
• Communicate the state of business, experiments results and recommendations to a broad team and senior leadership.
• Partner with the business to provide consultancy.
• Build scalable automation solutions utilizing SQL, Tableau, and other tools.
• Use ML Framework with Anaconda, PySpark, Power BI and MYSQL.
Data Science, Statistik (allg.), Big Data, SQL, PyTorch, Support Vector Machine (SVM), Natural Language Processing (NLP)
"He was brilliant candidate.
Have full experience in Stock Price Modeling with ML and Stochastic Theory.
I regret to allow him to worked in Facebook"
3/2021 – 10/2022
Tätigkeitsbeschreibung
• Built the Trading Strategy based on observation and Statistical Analysis(This was my task), and found the optimized parameters of indicators with machine learning.(XGBoost and Genetic Algorithm)
• Use Scikit-Learn, Tensorflow and PyTorch as ML framework.
Corporate Finance, Maschinelles Lernen, Mathematik, Python
Qualifikationen
Projekt‐ & Berufserfahrung
12/2021 – 2/2023
Tätigkeitsbeschreibung
• Own a domain end-to-end, understand the business problems, define and monitor key metrics, identify opportunities and drive conversations around where to invest engineering resources.
• Measure business performance, develop core metrics and create dashboards to track and understand them.
• Identify data and metrics and analyze needs for business partners.
• Initiate, develop and maintain data pipelines and data models that powers dashboards and data products with outstanding craftsmanship.
• Communicate the state of business, experiments results and recommendations to a broad team and senior leadership.
• Partner with the business to provide consultancy.
• Build scalable automation solutions utilizing SQL, Tableau, and other tools.
• Use ML Framework with Anaconda, PySpark, Power BI and MYSQL.
Data Science, Statistik (allg.), Big Data, SQL, PyTorch, Support Vector Machine (SVM), Natural Language Processing (NLP)
3/2021 – 10/2022
Tätigkeitsbeschreibung
• Built the Trading Strategy based on observation and Statistical Analysis(This was my task), and found the optimized parameters of indicators with machine learning.(XGBoost and Genetic Algorithm)
• Use Scikit-Learn, Tensorflow and PyTorch as ML framework.
Corporate Finance, Maschinelles Lernen, Mathematik, Python
Ausbildung
Toronto
Über mich
My name is B. from the US and I am a Data Scientist with Machine Learning & NLP in Business intelligence.
First, I am sure I am good at correlation analysis between features and target
Then, I have full experience in Financial Trading with yfinance, Tensorflow and PyTorch.
But my main stack is detect important financial events and trading news from social site using NLP for financial traidng
Please invite me if you need my assistant.
Thank you.
S. B.
Weitere Kenntnisse
Persönliche Daten
- Englisch (Muttersprache)
- Europäische Union
- Schweiz
- Vereinigte Staaten von Amerika
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