Enthusiast Data Scientist || R || Statistics Tutor

Data Science Lab for 8 portfolio projects relating to data science and machine learning. The following are the projects that I have worked on: 1. Predicting Earthquake damages in Nepal using decision tree model. 2. Evaluating housing of properties in Mexico using simple linear regression model. 3. Using ARMA time-series model to measure air quality in Nairobi, Kenya (data extracted from MongoDB using py-mongo). 4. Determine the price of apartments in Buenos Aires, Argentina. 5. Predict the likelihood of company bankruptcy in Poland using random forest and gradient boosting models. 6. Using K-means models for customer segmentation in the United States. 7. Determine whether sending an email to WQU faculty increases the chances of program enrolment using chi-square test. 8. Building a time-series model that can predict asset volatility in India.

As a biostatistics graduate and statistical analyst expert, I gained comprehensive expertise in analyzing complex datasets and deriving actionable insights using advanced statistical methods. Proficiency in R, Python, SPSS, and Jamovi enabled me to efficiently manage, model, and visualize data, enhancing my ability to tackle diverse analytical challenges. My background in biostatistics provided a solid foundation in understanding and applying statistical theories and methodologies in real-world scenarios. This blend of technical skills and statistical knowledge has equipped me to contribute effectively to research and data-driven decision-making processes.