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Master Python, SQL, and Machine Learning with a Columbia CS Tutor
Samyukkta S.

Your first lesson is backed by our Good Fit Guarantee

Hourly Rate: $55

About Samyukkta


Bio

I am a graduate student at Columbia University, pursuing my Master’s degree in Computer Science with a concentration in Machine Learning. My academic background also includes a B.S. in Computer Science from Rutgers University Honors College, where I was recognized with the Outstanding Achievement Scholarship. Through my coursework and projects, I’ve built strong expertise in Python, SQL, data analysis, and machine learning, and I love translating these complex concepts into clear,...

I am a graduate student at Columbia University, pursuing my Master’s degree in Computer Science with a concentration in Machine Learning. My academic background also includes a B.S. in Computer Science from Rutgers University Honors College, where I was recognized with the Outstanding Achievement Scholarship. Through my coursework and projects, I’ve built strong expertise in Python, SQL, data analysis, and machine learning, and I love translating these complex concepts into clear, approachable lessons for students of all backgrounds.

My tutoring experience spans both one-on-one and small group settings. I have worked with high school, undergraduate, and early-career learners, teaching Python programming, SQL querying, data analysis with tools like Pandas and NumPy, and introductory machine learning. I take a hands-on approach, breaking concepts into manageable steps and guiding students through real-world examples and coding exercises. Many of my students have come to me feeling overwhelmed, and I pride myself on helping them build confidence while developing practical skills they can apply immediately to coursework, interviews, or personal projects.

My teaching philosophy is grounded in patience and adaptability. I recognize that each student learns differently, so I adjust my explanations, pace, and examples to meet individual needs. I encourage active problem-solving, ensuring that students not only understand how something works but also why it works that way. Whether you are just starting with coding, preparing for a technical class, or aiming to strengthen your data science foundation, I will provide structured guidance and support. I also offer a free initial consultation to discuss goals and learning styles, and I maintain a 24-hour cancellation policy to ensure fairness and flexibility.


Education

Rutgers University
Computer science
Columbia University
Masters

Policies


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Approved Subjects

Computer Science

Computer Science

I am qualified to tutor Computer Science because of my rigorous academic training at Columbia University, where I am pursuing my M.S. in Computer Science with a concentration in Machine Learning, as well as my B.S. in Computer Science from Rutgers Honors College. I have expertise in core areas such as Python, Java, C++, SQL, algorithms, data structures, and software development. My tutoring and mentoring experience includes helping students at different levels understand programming fundamentals, debug code, and build scalable projects. With a balance of theoretical knowledge and practical application, I make complex concepts accessible and engaging for learners.
Data Analysis

Data Analysis

I am exceptionally qualified to tutor data analysis due to my strong educational foundation with an MS in Computer Science from Columbia University, where I focused on Machine Learning, Data Science, and related coursework. I have extensive hands-on experience with core data analysis tools including Python, Pandas, NumPy, SQL, and visualization libraries like Matplotlib, Seaborn, and Tableau, which I've applied across multiple real-world projects involving complex datasets and machine learning pipelines. My current tutoring experience since May 2024 has allowed me to effectively teach Python, SQL, and data analysis concepts to students with diverse backgrounds, helping them structure raw datasets into usable formats and understand ETL design principles. Additionally, my project experience with processing millions of data points, implementing feature engineering, and building end-to-end ML solutions demonstrates my deep understanding of scalable data workflows that I can translate into practical learning experiences for students.Retry
Data Science

Data Science

I am qualified to tutor Data Science because of my strong academic background, including an M.S. in Computer Science at Columbia University with a focus on Machine Learning and a B.S. in Computer Science from Rutgers Honors College. I have hands-on experience building real-world data science projects, such as anomaly detection systems, predictive maintenance platforms, and AI-powered assistants. In addition, I have tutoring experience teaching Python, SQL, and data analysis with Pandas and NumPy, where I guided students through ETL design, machine learning pipelines, and data preprocessing. My combination of advanced coursework, practical project work, and teaching experience allows me to make data science concepts clear, approachable, and applicable.
Machine Learning/ AI

Machine Learning/ AI

I am qualified to tutor Machine Learning through my M.S. studies in Computer Science at Columbia University, where I specialize in machine learning and AI. I have built advanced projects, including real-time fraud detection systems, predictive maintenance platforms, and AI-powered assistants, using tools like PyTorch, TensorFlow, and Scikit-learn. In my tutoring experience, I’ve guided students through key ML concepts such as supervised and unsupervised learning, feature engineering, and model evaluation, while making the material approachable and hands-on. My combination of academic training, practical project work, and teaching experience ensures that students not only learn the theory but also gain the skills to apply machine learning effectively.
Computer Programming
Python
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