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Fordham Data Science M.S. Student | Python, SQL, Data & ML Tutor
Kerwyn J.

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Hourly Rate: $40
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About Kerwyn

Bio

Hi, I'm Kerwyn! I study Computer Science at Fordham University, where I'm on the Dean's List with a 3.72 GPA, and I'm also in Fordham's accelerated M.S. program in Data Science. I'm a Break Through Tech AI Fellow at Cornell Tech, where I earned the Machine Learning Foundations certificate and build LLM applications in Python. This past summer I was a Data Engineering Intern at Guardian Life, building data pipelines with Python, SQL, and PySpark on Databricks, and before that I built Python...

Hi, I'm Kerwyn! I study Computer Science at Fordham University, where I'm on the Dean's List with a 3.72 GPA, and I'm also in Fordham's accelerated M.S. program in Data Science. I'm a Break Through Tech AI Fellow at Cornell Tech, where I earned the Machine Learning Foundations certificate and build LLM applications in Python. This past summer I was a Data Engineering Intern at Guardian Life, building data pipelines with Python, SQL, and PySpark on Databricks, and before that I built Python ETL pipelines for ecological research at the Wildlife Conservation Society. That means I can show you not just how the code works, but how it gets used on the job.

I've been teaching since 2024. As a STEP Tutor Counselor at Fordham, I taught math, computer science, and financial literacy to over 100 students, and as an INSTEP mentor I worked one on one with high school students preparing for college. I also served as a Teaching Assistant for Information & Data Management at Fordham, leading weekly office hours on Python, object-oriented programming, and Jupyter notebooks, and grading NumPy, pandas, and Matplotlib work. I know the mistakes students make most often and how to explain the fix clearly, and I'm used to starting from the basics without making anyone feel behind.

My approach is simple: first I find out exactly where you are and what you need, whether that's a homework assignment, an exam, or a project. Then I explain the concept in plain language, walk through a small example, and have you write the code yourself while I guide you, instead of just handing you answers. For middle and high school students, I keep lessons hands-on with short exercises that build confidence step by step. For college students and anyone learning SQL, Excel, or data science, I focus on real datasets and practical problems.

I tutor online and in person around Brooklyn. Send me a message about what you're working on, and let's get started!

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Education

Fordham University
Computer Science
Fordham University
Masters

Policies

  • Tutor’s lessons: In-person
  • Hourly Rate: $40
  • Travel policy: Within 10 miles of Brooklyn, NY 11230
  • Lesson cancellation: 12 hours notice required

  • No background check

  • Your first lesson is backed by our Good Fit Guarantee

Schedule

Kerwyn hasn’t set a schedule.

Approved Subjects

C++

C++

I'm a Computer Science major at Fordham University with a 3.72 GPA, and C++ is one of the core languages I work in alongside Python, SQL, and JavaScript. I'm comfortable with the fundamentals students need for intro and intermediate courses: types, control flow, functions, arrays and vectors, pointers and references, classes, and debugging compiler and runtime errors. As the Teaching Assistant for Information & Data Management at Fordham, I led weekly office hours on object-oriented programming, explaining classes, objects, inheritance, and encapsulation to students seeing them for the first time. Those same ideas are central to C++, and I'm used to breaking them down in plain language. In C++ lessons I have students write and run small programs every session, read error messages together, and build up to their full assignments one step at a time, so they understand the code instead of just copying it.
Computer Science

Computer Science

I'm a Computer Science major at Fordham University (3.72 GPA, Dean's List) and I'm also enrolled in Fordham's accelerated M.S. in Data Science. My coursework includes Data Mining, Data Communications and Networks (CRC, Hamming codes, sliding window and multiple access protocols), Linear Algebra and Programming for Math and Science, Mathematics for Data Science, and Operating Systems, which I'm taking now. From January to May 2026 I was the Teaching Assistant for CISC 2500, Information & Data Management, at Fordham. I ran weekly office hours for undergraduates on Python, object-oriented programming, and Jupyter, and I graded assignments and quizzes with written feedback, so I know where students usually get stuck. Outside of class I build real systems. I built a full-stack analytics platform for NYC Tree Census data with a spatial MySQL schema, 600K+ records, and a JWT-secured FastAPI backend, and a FastAPI backend with Google OAuth that combines MySQL with a Neo4j graph database. When I tutor Computer Science, I connect theory to working code: we trace an algorithm by hand, then implement and test it together so the concept sticks.
Data Analysis

Data Analysis

I work with data every day. This past summer at Guardian Life I built PySpark and SQL pipelines on Databricks that process 700K+ records and a data quality framework that runs 100K+ automated validations in production. I also built a Python reporting pipeline that batched structured CSV policy data to the Claude API, cutting the time to produce 2,062 annual reports from about 4 hours to 5 minutes. As the Teaching Assistant for Information & Data Management at Fordham, I graded and wrote feedback on student work in NumPy, pandas, and Matplotlib, and helped students debug their analyses in Jupyter during weekly office hours. I also built an analytics platform over NYC Tree Census data from 1995, 2005, and 2015, with 600K+ records in a spatial MySQL database. In lessons I teach how to load, clean, filter, group, join, and visualize data in pandas, SQL, and Excel, and how to turn the results into clear, well-supported conclusions.
Data Science

Data Science

I'm enrolled in Fordham's accelerated M.S. in Data Science and I'm a Break Through Tech AI Fellow at Cornell Tech. In Data Mining (CISC 4631) I worked through Apriori association rules, Naive Bayes classification, decision trees built with information gain, and k-means clustering with normalization, both by hand and in Python. I'm currently taking Mathematics for Data Science. This past summer I was a Data Engineering Intern at Guardian Life, where I built change data capture ETL pipelines in PySpark and SQL on Databricks across 18 staging tables and 700K+ records, and a data quality framework that automates 100K+ validations and is running in production. As a Teaching Assistant for Information & Data Management at Fordham, I helped undergraduates with pandas, NumPy, and Matplotlib and graded their data analysis work. I teach the full data science workflow: asking the right question, cleaning and exploring the data, choosing and fitting a model, and explaining the results clearly. I use real datasets whenever possible so students see how the tools are used on the job.
Machine Learning/ AI

Machine Learning/ AI

I'm a Break Through Tech AI Fellow at Cornell Tech and an M.S. Data Science student at Fordham. My Machine Learning Foundations coursework through the fellowship includes labs on retrieval-augmented generation with LangChain (text splitting, embeddings, a Chroma vector store, and retriever tuning) and an agentic system that uses a routing classifier, an evaluator-optimizer loop, and a FastMCP server. For my capstone I'm building a binary classifier on the Airbnb NYC listings dataset to predict high versus low price, including a two-hidden-layer feedforward neural network. In Data Mining at Fordham I worked through Naive Bayes, decision trees with information gain, k-means clustering, and Apriori association rules, and I use scikit-learn, pandas, and NumPy regularly. At Guardian Life I built a Python pipeline that sent structured policy data to the Claude API to generate reports automatically. I teach machine learning by building intuition first, what the model is learning and why, then implementing it in scikit-learn and evaluating it properly with train/test splits and the right metrics.
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Hourly Rate: $40
Contact Kerwyn