Core Technologies: Python, MySQL, Spark, Tableau, Pandas, NumPy, Matplotlib, Seaborn, SciKitLearn, Anaconda, Jupyter Notebooks, Git/GitHub
Core Competencies: Data Storytelling, Applied Statistics, Machine Learning, Natural Language Processing, Classification, Regression, Clustering, Time Series Analysis, Anomaly Detection
Primary Focus: Data Analytics
Additional Skills: AWS • Docker • Python • Tableau
I am enthusiastic about advancing my professional journey as a Data Scientist, Data Analyst, or Data Engineer, aiming to refine my existing expertise in Data and Cloud while acquiring new technical skills to generate valuable insights for prospective employers. Known for my punctuality and strong work ethic, I am eager to integrate seamlessly into new professional environments, building connections with employers and colleagues in a fresh setting. I hope to hear from you.
My Capstone Project: Global Disease Outbreak Detection
– Developed a disease prediction model using machine learning, emphasizing the Random Forest classifier with a notable test accuracy of 89.58%.
– Conducted thorough data analysis, leveraging statistical relationships and clinical insights, to establish significant associations between symptoms and diseases.
– Outlined strategic recommendations, including initial deployment of the model, collaboration with healthcare professionals, dataset expansion, and continuous improvement through user feedback and model refinement.