
Overview
As an experienced data science tutor, I am passionate about helping individuals excel in their academic or professional journey. With expertise in Python programming, machine learning, and data analysis, I offer tailored tutoring services for each student's needs. Whether you're a beginner or an advanced learner, I'm here to guide you every step of the way.
Skills
- Data Analysis: Experienced in extracting insights using statistical methods, data visualization, and storytelling. Proficient in SQL and Excel.
- Data Science: Skilled in data preprocessing, exploratory data analysis (EDA), feature engineering, model evaluation, and results interpretation.
- Python Programming: From basics to advanced concepts, including libraries like NumPy, Pandas, and Matplotlib.
- Machine Learning: Versed in algorithms for clustering, classification, regression, and time series analysis. Techniques include decision trees and SVM.
- Deep Learning: Knowledgeable in TensorFlow and Keras for tasks like time series analysis and natural language processing.
- Natural Language Processing (NLP): Techniques include sentiment analysis, text classification, and named entity recognition. Familiar with NLTK and spaCy.
Previous Projects
- Developed a Multinomial Naive Bayes model using NLP to detect spoilers in movie reviews.
- Analyzed e-commerce data to improve customer satisfaction and advised on strategy adjustments.
- Helped a student create a machine learning model for forecasting portfolio trends.
• Instructed and coached over 60 professionals from Fortune 500 companies in building skills in Python, SQL, Data Analysis, EDA, Visua...
• Instructed and coached over 60 professionals from Fortune 500 companies in building skills in Python, SQL, Data Analysis, EDA, Visualization and Machine Learning (Clustering, Classification, Regression and Time Series)
• Led virtual technical workshops on Data Foundations and Data Science for over 50 learners, achieving a 90% satisfaction rate among participants
• Facilitated over 50 hours of project-based consultations contributing to successful implementation of ML models for the learners’ business projects
• Developed technical content on Intro to ML using Scikit-Learn library and Jupyter notebook
• Initiated and developed data dashboard built with Python to provide detailed analytics &
visibility on learners’ progress, resulting in improved learner engagement and retention
• Conducted lectures for more than 100 students and assisted them solving technical challenges, receiving consistent positive feedback...
• Conducted lectures for more than 100 students and assisted them solving technical challenges, receiving consistent positive feedback from students, on the following topics:
o Data Sourcing (API, Web Scraping)
o Decision Science (Statistics and Probability, Linear and Logistic Regression)
o Machine Learning (Loss Functions and Solvers, Performance Metrics, Pipelines) o Deep Learning (Optimizers, Loss & Fitting, Natural Language Processing)
• Guided students through their final projects, providing support and feedback on ideation, project scoping, and execution