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Cornell M.Eng. Experienced Math, Statistics & Writing T
Evelyn D.

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3 hours tutoring

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About Evelyn

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I am currently pursuing my Master of Engineering in Financial Engineering at Cornell University, after earning dual undergraduate degrees in Data Science and Information Systems. My academic training has provided me with strong foundations in mathematics, statistics, and writing, and I am passionate about sharing that knowledge with students of all backgrounds.

Over the past several years, I have gained extensive tutoring and teaching experience in both the U.S. and abroad. I have worked...

I am currently pursuing my Master of Engineering in Financial Engineering at Cornell University, after earning dual undergraduate degrees in Data Science and Information Systems. My academic training has provided me with strong foundations in mathematics, statistics, and writing, and I am passionate about sharing that knowledge with students of all backgrounds.

Over the past several years, I have gained extensive tutoring and teaching experience in both the U.S. and abroad. I have worked one-on-one and in small groups with high school and college students, supporting them in subjects such as algebra, calculus, probability, and statistics. As a writing tutor, I have also guided students in improving grammar, organization, and essay structure, with particular success in helping international students strengthen their academic English. My teaching approach is highly personalized: I adapt my methods to match each student’s learning style, whether that means using real-world applications, visual aids, or step-by-step breakdowns.

I have taught learners ranging from middle school through college level, both online and in-person. Many of my students have improved their grades significantly, with math students increasing by a full letter grade and writing students producing more confident, polished essays. I believe in creating a supportive, encouraging environment where students can ask questions freely, build problem-solving skills, and gain confidence in their own abilities.

My goal as a tutor is not only to help students excel in their coursework but also to equip them with the tools to think critically, communicate clearly, and approach challenges with confidence. I look forward to helping you achieve your academic goals.

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Approved Subjects

Biostatistics

Biostatistics

I have extensive experience applying statistical and quantitative modeling techniques to biological and financial datasets. My academic training at Cornell University and research experience involve using R, Python, and MATLAB for regression, hypothesis testing, survival analysis, and experimental design. I have also worked on projects integrating biostatistical methods with data science and econometrics to extract insights from complex, real-world data. I emphasize clarity in explaining probability theory, distributions, and statistical inference for practical research and academic success.
Business

Business

I am pursuing my Master of Financial Engineering at Cornell University, with a strong foundation in business analytics, corporate finance, and quantitative strategy. I have experience working with global financial institutions such as BlackRock, KKR, and HSBC, where I applied data-driven methods to solve real-world business and investment problems. I help students connect theory to practical applications across finance, economics, and management. My teaching focuses on clarity, structured reasoning, and real-case problem solving.
C#

C#

I am a Cornell Master of Engineering student in Financial Engineering with extensive programming experience across multiple languages including C++, Python, R, and SQL. Through my internships at BlackRock, KKR, and HSBC, I have applied advanced programming techniques to build quantitative models, implement trading algorithms, and develop machine learning solutions for financial applications. I have hands-on experience with complex data structures, object-oriented programming, and algorithmic problem-solving, having developed high-frequency trading strategies, LLM prototypes, and neural network models. My background combines strong theoretical computer science foundations with practical industry applications, making me well-equipped to teach C# programming concepts from basics to advanced topics including data structures, algorithms, and software engineering best practices.
C++

C++

I have over seven years of experience in C++ programming, specializing in software development, robotics, and embedded systems. My background includes building performance-critical applications using C++17 and C++20, as well as integrating hardware drivers, computer vision modules, and real-time control systems in ROS (Robot Operating System). I have mentored students and professionals in mastering C++ fundamentals, object-oriented programming, STL, and algorithm optimization. My teaching approach focuses on hands-on problem-solving and helping learners build robust, industry-grade C++ projects.
Chinese

Chinese

I am a native Mandarin and English bilingual with years of experience teaching Chinese to both children and adults at beginner through conversational levels. I focus on pronunciation, daily speaking, reading, and cultural context, tailoring each lesson to students’ goals and learning styles. My lessons combine structure with interactive practice to help learners build confidence in real communication and long-term fluency.
Data Analysis

Data Analysis

I am a Master of Engineering in Financial Engineering with strong expertise in Python, R, SQL, and data visualization tools like Tableau and Power BI. My professional experience includes quantitative research and investment engineering, where I engineered medium-term alpha strategies and large language models for portfolio construction at Blackrock. I have successfully applied diverse data analysis techniques, including Bayesian regression, LSTM, K-means clustering, and L2 Regularization to solve complex finance and sales problems. I also have hands-on experience in high-frequency trading and risk modeling, processing large datasets and achieving a top 3% ranking in a Kaggle Real-Time Market Data Forecasting competition
Data Science

Data Science

I hold a Master of Engineering and a Bachelor of Science in Accounting & Data Science and have taken advanced courses in Deep Learning and Advanced Data Science. I possess strong technical skills in Python, R, SQL, and C++ and have applied various machine learning models such as LSTM, LightGBM, and Support Vector Regression in financial modeling and prediction. My experience includes building a proprietary large language model (LLM) prototype and constructing a recurrent neural network (RNN) for real-time market data forecasting in a Kaggle competition where I placed in the top 3%. Furthermore, I have leveraged data science techniques like K-means clustering, Principal Component Analysis, and L2 Regularization to improve accuracy in sales forecasting and customer segmentation
Data Structures

Data Structures

I have experience in applying data structures and algorithms through professional work in quantitative finance and a competitive environment like Kaggle. My technical skills include proficiency in Python and C++ , which I have used to implement various complex models, including transformer-based architectures and recurrent neural networks (RNNs). I utilized SQL to automate systematic equity trading and options transaction records, improving efficiency by 20%. I have also used data structures knowledge in algorithm trading, developing event-driven strategies, and optimizing processes using Mixed-Integer Linear Programming and Dynamic Programming.
English

English

I have extensive experience tutoring academic and professional English, with a focus on writing, rhetoric, and communication. As a Cornell University graduate student, I’ve guided students in developing essay structure, argumentation, and analytical writing for AP English, college applications, and academic papers. My approach combines close reading, rhetorical analysis, and personalized feedback to help students express their ideas clearly and confidently. I emphasize both critical thinking and stylistic fluency to build lasting writing skills.
Essay Writing

Essay Writing

I hold a Master of Engineering from Cornell University and a Bachelor of Science from Renmin University of China, demonstrating a high level of academic writing proficiency. I have experience writing formal academic papers, including selected publications in the Journal of Physics: Conference Series and the International Conference on Mathematical Statistics and Economic Analysis. My professional experience required the clear documentation and presentation of complex quantitative models and investment strategies. I can assist students with organizing their thoughts, developing clear arguments, and achieving the polished, professional tone required for academic and technical writing.
Finance

Finance

I am a Master of Financial Engineering candidate at Cornell University with a 4.0 GPA and a strong foundation in quantitative finance, risk modeling, and portfolio management. My professional experience includes quantitative research roles at BlackRock, KKR, HSBC, and Efund, where I applied financial modeling, Python/R analytics, and machine learning to investment strategies. I have also published research on financial prediction models and mentored students in quantitative and applied finance topics. I enjoy helping students bridge theory and practice in corporate finance, derivatives, and data-driven investing.
Financial Accounting

Financial Accounting

I hold a B.S. in Accounting & Data Science from Renmin University of China and am currently pursuing my Master’s in Financial Engineering at Cornell University. I have a solid foundation in financial and managerial accounting, financial statements, and GAAP principles, with prior internship experience in quantitative and financial analysis at KKR, HSBC, and Efund. I’ve tutored undergraduates in core accounting concepts such as journal entries, accruals, and balance sheet analysis, helping them improve comprehension and exam performance.
IELTS

IELTS

I am currently a Master of Engineering student at Cornell University and previously earned a Bachelor of Science degree. This academic background demonstrates a high level of proficiency and comfort with advanced academic English, which is crucial for the IELTS exam. I have experience with both technical and professional writing, including authoring two selected publications and working in U.S. financial institutions like Blackrock. I can assist students with the academic and general training modules, focusing on the sophisticated vocabulary, grammar, and structuring required for high scores in reading, writing, listening, and speaking.
Interview Prep

Interview Prep

I have successfully interviewed for and secured competitive quantitative and engineering roles at top-tier financial institutions like Blackrock, KKR, and HSBC. My expertise lies in preparing candidates for interviews in quantitative finance, data science, and investment engineering. I can provide focused coaching on technical questions related to advanced modeling (e.g., LLMs, LSTM, Bayesian regression), algorithms, and financial market knowledge. Furthermore, I can help students structure behavioral responses and effectively articulate complex project experiences, such as my work with a decentralized Gamefi platform and winning an Akuna Trading Competition.
Logic

Logic

I have a strong foundation in logic, mathematical reasoning, and structured problem-solving developed through my graduate studies at Cornell University in Financial Engineering. My coursework and quantitative research experience have sharpened my ability to teach logical deduction, argument analysis, and pattern recognition. I have also guided students in developing critical thinking and systematic reasoning skills for academic and competitive settings. My teaching approach focuses on clarity, intuition, and real-world application.
Macroeconomics

Macroeconomics

I hold a Master’s in Financial Engineering from Cornell University and a Bachelor’s degree in Accounting & Data Science, with extensive coursework in Macroeconomics, Econometrics, and Monetary Policy. My tutoring experience spans topics such as GDP growth, inflation, fiscal and monetary policy, IS-LM models, and open-economy analysis. I emphasize connecting theory with real-world data — helping students interpret macro indicators, apply models to policy scenarios, and prepare effectively for exams and research projects. My lessons are clear, structured, and tailored to each student’s learning pace and course requirements.
MATLAB

MATLAB

I have extensive experience using MATLAB for quantitative analysis, financial modeling, and data visualization. At Cornell University’s MFE program and during my research roles, I applied MATLAB to simulate portfolio optimization, risk management, and signal processing algorithms. I have also tutored students and peers in translating mathematical and statistical models into efficient MATLAB code. My approach emphasizes both conceptual understanding and hands-on problem solving.
MBA

MBA

I hold a Master of Engineering in Financial Engineering from Cornell University, with selected coursework in Game Theory, Portfolio Management, and Computational Optimization. My professional experience includes internships at major financial institutions like Blackrock (Quantitative Alpha Research) and KKR (Investment Engineering), covering key business areas. I have developed alpha strategies for structured products, contributed to $10B+ AUM portfolios, and used K-means clustering to identify distinct customer factors. I can offer high-level assistance in finance, investment analysis, and strategic data-driven decision-making, core components of an MBA curriculum.
Microsoft Excel

Microsoft Excel

I’m a Cornell graduate student in Financial Engineering with extensive experience using Excel for data analysis, financial modeling, and business reporting. I’ve worked with advanced formulas, pivot tables, data visualization, and VBA automation through academic research and internships at firms like BlackRock and KKR. I’ve also tutored professionals and students, helping them strengthen Excel skills from beginner to advanced for real-world business and analytical tasks.
Public Speaking

Public Speaking

As a Board Member of the Society of Women Engineers at Cornell , I have experience empowering over 300 students through workshops with practitioners. I have also presented my research, including on the Tokyo Stock Exchange Prediction and real estate prediction models, at international conferences. My professional roles at Blackrock and HSBC required clearly communicating complex quantitative findings and driving insight adoption among investment teams and secondary investors. I can coach on structuring clear, impactful presentations and delivering technical or professional content to diverse audiences.
R

R

I have extensive experience using R for data analysis, statistical modeling, and quantitative research. My background includes applying R in finance, econometrics, and data visualization, with a strong focus on reproducible workflows and data-driven decision-making. I have taught R programming and analytics at the graduate level, helping students master packages such as tidyverse, ggplot2, and dplyr. My tutoring style emphasizes clarity, real-world application, and hands-on practice to ensure deep conceptual understanding.
SQL

SQL

I am currently a Master of Financial Engineering student at Cornell University, where I serve as a Teaching Assistant for “Business Data Analysis with SQL.” I have 4+ years of experience applying SQL in real-world data analytics, financial modeling, and ETL automation projects at firms such as BlackRock, KKR, and ByteDance. My tutoring focuses on helping students truly understand query logic, database design, and data manipulation with practical, hands-on examples that connect to real business and AI applications.
Statistics

Statistics

I specialize in applied statistics for public health and epidemiological research, with experience working on large-scale datasets such as the Global Burden of Disease (GBD), WHO, and CDC databases. My background includes regression modeling, longitudinal data analysis, spatial analysis, and visualization using R, Stata, and Python. I have supported research projects in disease burden estimation, health economics, and risk factor modeling, ensuring both methodological rigor and interpretability of results for publication.
Thesis Writing

Thesis Writing

I hold a Master of Engineering degree from Cornell University and have successfully completed a Bachelor of Science degree. I possess direct experience in academic publishing, having authored and published two selected research papers in technical journals and conference proceedings. My background in quantitative research and data science provides a strong foundation for conducting rigorous research and presenting complex findings clearly. I can guide students through all stages of thesis writing, including topic selection, literature review, methodology, and formatting to academic standards.
ACT English
Algebra 1
Differential Equations
GRE
HTML
Linear Algebra
LSAT
Probability
SAT Reading
SAT Writing
TOEFL
Vocabulary
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Hourly Rate: $100
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