Data Scientist

Summary

Results-Driven Data Scientist with 4 years of expertise in product innovation and business intelligence. Specializes in transforming complex data into actionable insights for SMBs using NLP and machine learning techniques. Demonstrated success in developing AI-powered solutions that significantly reduce operational costs and enhance customer satisfaction.

Expectations

Expectations from my new job include opportunities for growth, challenging projects that leverage my data science skills, a collaborative team environment, and the ability to make a tangible impact through innovative solutions. I also value continuous learning and a culture that supports professional development and work-life balance.

Employment Preferences

Expected Base Salary

**,000 CAD

Expected Hourly Rate

** CAD/hr

Academic Degree

Experience

Skills

• Programming
• Python
• NumPy
• Pandas
• Scikit-learn
• NLTK
• TensorFlow
• Keras
• PyTorch
• R Programming
• Glmnet
• Tidyverse
• Caret
• Markdown
• SQL
• C
• Flask
• REST API
• Machine Learning
• Regression Modeling
• Random Forest
• XGBoost
• KNN Classifier
• K-means Clustering
• Feature Extraction
• PCA
• Factor Analysis
• Deep Learning
• Feed-forward NNs
• CNN
• RNN
• LSTMs
• BERT
• LLMs
• Natural Language Processing
• Natural Language Understanding With Traditional
• Deep Learning Methods
• Such As Text Classification
• Text Generation
• Topic Modeling
• Text Summarization
• Etc
• Data Visualization
• BI Tools
• Tableau
• Power BI
• D3.js
• Ggplot2
• Matplotlib
• RShiny
• Cloud Services
• Azure DevOps
• Boards
• Pipelines
• Repos
• TestPlans
• AWS
• EC2
• Lambda
• S3
• SageMaker
• Elastic Stack
• Statistics
• Inferential Statistics
• Experimental Design
• Hypothesis Testing
• A
• B Testing
• Regression Analysis
• VCS
• DevOps
• Misc Tools
• JupyterLab
• Rstudio
• Github
• Jira