Data Scientist
Summary
Designed data analytics curriculum for undergraduate and graduate business students with ranging familiarity with programming, machine learning, data mining and artificial intelligence using only open source frameworks
Taught data science through statistical analysis, statistical modeling, programming, math and computer science concepts for accounting and finance
Expectations
Apply and stay up to date with the latest technology in machine learning, AI and natural language processing
Employment Preferences
Expected Base Salary
**0,000 USD
Academic Degree
Experience
Total Professional Experience
Startup Experience
Big-Tech Companies
Enterprise Experience
Skills
- Python
- SQL
- Bash
- SAS
- R
- Scikit-Learn
- TensorFlow
- Keras
- Gensim
- Spark
- Flask
- Pandas
- BeautifulSoup
- Selenium
- NLTK
- Numpy
- Scipy
- Jupyter Notebook
- JupyterLab
- Git
- Spyder
- AWS
- EC2
- Sampling
- Significance Testing
- Regression
- Classification
- Regularization
- Ensemble Methods
- Clustering
- PCA
- Anomaly Detection
- Feature Engineering
- Missing Data
- Hypothesis Testing
- Confidence Intervals
- T-tests ANOVA
- Neural Networks
- CNN
- RNN
- LSTM
- NLP
- MySQL
- PostgreSQL
- Tableau
- Matplotlib
- Seaborn
- Excel
Contacts are hidden
Send a connection request to the candidate to get their contact details.
Contact Candidate