Data Scientist
I am a data scientist with 2 years experience in Python, SQL, R and machine learning. I believe that data is the new oil and when used appropriately in generating insights can lead to business success. In my 2 years experience i have worked with different clients in the roles below:
- I do projects and visualization in tableau and using different python libraries and provide insights to data.
- Extensively use the following python libraries and packages in data science-related projects; Pandas, Numpy, Scipy, Scikit-Learn, MatplotLib, Bokeh, SQLAlchemy, NLTK, Beautiful Soup, Keras, Tensor Flow, and PyTorch among others.
- Extract data using SQL and analyze massive amounts of health, social, and crime data to mine useful insights applying the following statistical steps (Problem framing, data understanding, data cleaning, data selection, data preparation, model evaluation, model configuration, model classification/prediction on testing data, model selection, and model deployment).
- Participate diligently on remote projects that involve modeling, predictions, and providing insights using models like decision trees, SVM, and regression models.
- Use Weka data-mining software to extract informative data patterns by applying supervised and unsupervised algorithms such as J-48, Naïve Bayes, Random Tree, RandomForest, PART, Logistic regression, KNN, SVM, K-Means, and Decision tables in classification, regression and cluster analysis problems on Web Traffic for detecting DDoS Attack.
- Use R programming language and Weka data-mining software to extract informative data patterns by applying supervised and unsupervised algorithms in chronic disease patients’ recommendation systems, which help chronic disease patients
- Use python and R languages for exploratory data analysis to provide excellent visual information on health-related data projects.
- Prepare visually informative dashboards and reports on diverse data using the Power BI tool, R -Shiny App, and Plotly.
Work Terms
30$ Per hour