Experienced Data Scientist specializing in machine learning, cloud data systems, and data dashboards. Proven track record of boosting user engagement by 10% and streamlining data processes by 25%. Instrumental in a high-impact project projected to generate over $321 million in profits. Proficient in Python, R, SQL, and AWS. Skilled at creating interactive dashboards with Tableau and Metabase. Effective communicator dedicated to leveraging data for solving complex real-world challenges.
Programming Languages: Python, R, SQL
Machine Learning & AI: Supervised & Unsupervised Learning, Deep Learning (ANN, CNN), NLP, Predictive Modeling, Model Evaluation, MLOps, Model Deployment
Data Science & Analytics: Big Data Analytics, Statistical Modeling, A/B Testing, Data Wrangling, Feature Engineering, Time Series Forecasting, Data Mining
Data Engineering & Cloud Tools: ETL Pipelines, AWS Glue, Amazon S3, Amazon RDS, Redshift, Athena, Hadoop
Libraries & Frameworks: Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, Matplotlib, Seaborn, ggplot2, dplyr, caret
Data Visualization & BI Tools: Power BI, Tableau, Excel, Metabase, SPSS, PowerPoint
Databases & Tools: MySQL, SQL Server, Git, GitHub, JIRA
Development Environments: Jupyter Notebook, PyCharm, Visual Studio Code, Google Colab, RStudio, AWS Cloud
Soft Skills: Excellent Communication, Stakeholder Management, People Management, Team Collaboration, Rapport Building