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Adjunct Lecturer from The London School of Economics
Neil A.

5.0 (34 ratings)

103 hours tutoring

Your first lesson is backed by our Good Fit Guarantee
Hourly Rate: $82
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Response time: 32 minutes

About Neil

Bio

I'm a seasoned analyst and adjunct lecturer with three years of teaching experience at the London School of Economics & Political Science. Throughout my career, I've provided statistical and programming expertise across various public-sector projects. In my role as an analyst, I developed price forecasts for domestic oil and petroleum products, applying principles from macroeconomics and statistics to link supply-demand dynamics with future projections. As a data scientist, I crafted...

I'm a seasoned analyst and adjunct lecturer with three years of teaching experience at the London School of Economics & Political Science. Throughout my career, I've provided statistical and programming expertise across various public-sector projects. In my role as an analyst, I developed price forecasts for domestic oil and petroleum products, applying principles from macroeconomics and statistics to link supply-demand dynamics with future projections. As a data scientist, I crafted innovative time series regression models to forecast aviation ridership demand, effectively using historical data to inform future trends.

As a lecturer, I routinely teach classes of 10-15 students, where I emphasize real-world applications to bridge theoretical concepts in statistics, econometrics, applied mathematics, and data science. I believe that relating practical examples to theory is key to fostering students’ understanding and engagement.

My teaching experience includes serving as a tutor and teaching assistant from 2014 to 2016, where I co-instructed Chemical Process Development at UMBC and privately tutored diverse mathematics levels, from elementary concepts to advanced Kaggle/Olympiad-style challenges. My classes attract a variety of students, but I specialize in teaching high school and college students core topics in statistics, calculus, and data science.

Additionally, I provide microconsulting services in statistics, machine learning, data science, and programming. This consulting work involves delivering targeted, actionable insights and custom solutions, empowering clients to leverage data-driven decision-making efficiently without requiring extensive engagements.

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Education

University of Maryland Baltimore County
Mathematics
University of Maryland Baltimore County
Masters

Policies

  • Hourly Rate: $82
  • Rate details: For coding students, I charge 1/4 to 1/2 of the rate for prep, depending on complexity. Prep usually takes an hour and costs around 30% of the full rate, ensuring tailored, high-quality guidance.
  • Lesson cancellation: 12 hours notice required

  • Background check passed on 9/2/2024

  • Your first lesson is backed by our Good Fit Guarantee

Schedule

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Approved Subjects

Data Analysis

Data Analysis

I am a Data Scientist with experience at the FDIC, FAA, and Department of Energy, where I build predictive models, perform data cleaning, and analyze large datasets using Python, RStudio, and Excel. I also teach university-level courses in Data Science (MN2196) and Business Analytics (ST2187), emphasizing statistical analysis, regression, and data visualization using tools like Tableau and R. My professional work includes regulatory risk modeling, econometrics, and real-world business intelligence. I specialize in helping students and professionals apply data analysis concepts to solve practical problems with confidence.
Data Science

Data Science

I have extensive experience as a Data Scientist and Operations Research Analyst, working for multiple government agencies including the FAA and Department of Energy. I regularly use Python and RStudio to develop predictive models, analyze large datasets, and implement machine learning algorithms. Additionally, I serve as an Adjunct Lecturer, where I teach Data Science (MN2196) and Business Analytics (ST2187), focusing on regression analysis, predictive modeling, and data visualization using tools like Tableau and RStudio.
Machine Learning/ AI

Machine Learning/ AI

I routinely apply machine learning in my work as a Data Scientist at the FDIC and previously at the FAA and Department of Energy. I specialize in supervised learning methods including XGBoost, decision trees, ridge/lasso regression, and logistic regression, with applications in forecasting, classification, and anomaly detection. I teach Business Analytics and Data Science at the university level, where I guide students through model building, tuning, and evaluation using Python and R. Whether you're tackling a homework assignment or building a predictive model, I focus on clarity, intuition, and hands-on application.
Algebra 1
Algebra 2
Calculus
Computer Programming
Differential Equations
GED
GRE
Probability
Python
R
SAT Math
Statistics

Examples of Expertise

Neil has provided examples of their subject expertise by answering 2 questions submitted by students on Wyzant’s Ask an Expert.

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Neil A.'s Photo

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Response time: 32 minutes

Ratings and Reviews

Rating

5.0 (34 ratings)
5 star
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Reviews

Extremely Knowledgable and Supportive Tutor

Neil helped me a lot while I was in the process of writing my research paper, teaching me about statistical techniques including OLS, GLS and autoregression, hypothesis testing, regularized regression (Lasso and Ridge), cross validation, the effects of multicollinearity, and principal component analysis in a way that was easy to understand especially since I didn’t have much prior knowledge in statistics and data science beforehand. He explained in detail different types of data including time series as well as which approaches would work best and what the pros and cons were for each. Neil is very knowledgable in his field and it was obvious that he genuinely cared about the success of my paper and whether I learned something, helping me troubleshoot and take different approaches with short notice all while explaining clearly why we were doing each thing. If I could give him more than 5 stars, I would since Neil deserves much more than that and his guidance was a huge help throughout and helped me take my project to the next level.

Carmen, 19 lessons with Neil

Highly Recommend! Very Knowledgeable and Easy to understand!

Neil is exceptional! He was very knowledgeable and patient. He took the time to review my daughter’s presentation before they met and gave her invaluable input. He walked her through how to approach the data and think critically, which enhanced her understanding. He gave great insight on the presentation and really helped her to visualize the data. He provided great guidance and assistance. Neil brings a calm and surety to his tutoring sessions and was a huge help. Highly recommended A+++ tutor!

Patty, 2 lessons with Neil

Knowledgeable, patient tutor

Neil was fantastic and very knowledgeable! He took the time to walk me through every question I had and made sure I truly understood each concept. Thanks to his clear explanations, patience, and guidance, I finally felt confident and understood the material by the end of our session.

Saba, 6 lessons with Neil

Amazing Feedback

Neil recently reviewed a Powerpoint I sent him and he gave an amazing and details analysis of it, with some very helpful insights. He went above and beyond for the scope of what I asked.

Connor, 7 lessons with Neil

Very knowledgeable and prepared tutor

I tutored with Neil regarding time series analysis on a time series dataset to predict monthly reservations. Neil went into depth about how and why we could use different approaches like PACF, ACF, differencing, ARIMA, PDARIMA, GARCH, ARCH, Exponential smoothing, and more. He explained the pros and cons of each models, and also helped me code the entire model with explanations on the parameters. He is knowledagble about statistics in general too which is a requirement for time series analysis. Data science can get confusing and often needs a lot of iterations. Some tutors online are irresponsible of their work, where they won't care if their output/response is wrong but Neil takes responsibility for the quality of the work he is providing. Not only does he prepare beforehand but is also honest about what works and what does not and how to improve things given the short deadline.

Youngbin, 5 lessons with Neil
Hourly Rate: $82
Response time: 32 minutes
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