Hi! My name is Chi

I'm a data scientist and a statistician.
Let's create a data story!
I graduated from Michigan State University. Go Green!
I love personal finance, fitness, and fashion.

Dao Chi Lam

Graduate Research Assistant at Michigan State University

Inquisitive Data Scientist with experience working with data in corporate and academic research environments. I help companies, like Sacombank and Jackson National Life, use data to make actionable decisions that result in workflow efficiency.

Technical Skills & Tools - Python, R, SQL, Spark, Tableau, Machine Learning, Exploratory Data Analysis, Jira.

Interes: fitness, reading, and playing the guitar.

I get excited about opportunities where I am able to leverage big data to discover insights and solve business problems.

I love connecting with new people, you can reach me at 𝘭𝘢𝘮𝘥𝘢𝘰𝘤𝘩𝘪27@𝘨𝘮𝘢𝘪𝘭.𝘤𝘰𝘮 or on LinkedIn!

Skills

Programming Languages and Tools

Expertise in Python (pandas, NumPy, scikit-learn, OOP), R (tidyverse, ggplot2), SQL, HTML, CSS, SAS, Apache Spark, Tableau, Microsoft Office, Git.

Data Wrangling

Transform large and complex datasets for more convenient consumption and organization of the data.

Data Modeling

Develop predictive models leveraging advanced statistical modeling, machine learning, and deep learning.

Storytelling

Convey complex and technical information through the use of concise writing and clear visualizations."

Curiosity

Continue to learn and find the optimal ways to solve problems.

Team Player

Collaborate with cross-functional teams and effectively present insights and findings.

Experiences

Graduate Research Assistant, Michigan State University

October 2024 - Present, East Lasning, MI

Responsibilities:

Developed a Microsoft Power Apps application for Federal Project Development and Reporting, streamlining the reporting process for 300+ faculty members and enhancing data collection and analysis for the program director.
Conducted time series analysis and forecasting utilizing peak analysis and the Autoregressive Integrated Moving Average (ARIMA) model to measure audience reach and tailor content strategies for the target audience.
Developing a cross-platform weather mobile app using Flutter, leveraging National Weather Service (NWS) data and 60 predictive models to help 1,000+ Michigan farmers optimize their scheduling during peak season.

Data Science Strategic Support Associate, Jackson

June 2021 - August 2024, Lasning, MI

Responsibilities:

Broke down complex analysis and ensured reports were easily consumable by business leaders by creating three powerful enterprise-level data visualization tools using Python.
Contributed and collaborated with experienced data scientists on projects in production environments using scripting languages (Python, SQL, and Spark).
Provided a data analytics platform recommendation to the team for future data science and AI tasks by leading the proof-of-technology project comparing Azure Databricks with Azure Machine Learning service.
Assisted in the development of Generative AI and Large Language Models (LLMs) using a RAG architecture by creating and evaluating vector embedding strategies and evaluating semantic search algorithms.

Data Science Research Assistant, Michigan State University

January 2021 - August 2021, East Lansing, MI

Responsibilities:

Predicted admission rates with an 81% accuracy score by developing and tuning statistical models.
Performed data wrangling and exploratory data analysis using pandas and Matplotlib to better create advanced visualizations and illustrate different relationships of variables in the dataset.
Provided the university with recommendations to assist physics students by collaborating with the department’s professors to identify the 5 most influential factors that lead to the school’s admission rate.

Statistics Undergraduate Learning Assistant, Michigan State University

January 2021 - May 2021, East Lansing, MI

Responsibilities:

Strengthen 750+ students’ statistical and computational knowledge by customizing interpretations of lecture information to suits students’ learning styles.
Boosted student’ engagements by 20% through planning and incorporating interactive online learning strategies, such as using multimedia resources and creating a coding practice session.
Interpreted course material to technical and non-technical students using visual content and storytelling techniques.

Analyst Intern, Sacombank

May 2019 - July 2019, Da Nang, Vietnam

Responsibilities:

Analyzed 30+ department members’ weekly sales to produce reports and present them to the department’s head.
Boosted the bank’s telemarketing efficiency by 25% by creating advanced Excel spreadsheet structures to interpret data and collaborating with the marketing team, representing an 8% increase in sales.
Trained 30 department members advanced Excel functions and skills to improve their efficiency and productivity.

Education

Michigan State University

September 2024- May 2026

Master of Science, Data Science

Relevant Courses

Introduction to MLOps
Mathematical Statistics for Data Scientists
Data Mining
Foundations of Data Science
Foundations of Artificial Intelligence
Applied Statistical Modeling for Data Scientists

Michigan State University

September 2017- May 2021

Bachelor of Arts, Statistic (minor in Computational Mathematics, Science and Engineering)

Relevant Courses

Computational Modeling and Data Analysis
Probability and Statistic
Linear Algebra
Introduction to Data Science

Extracurricular Activities

Vietnamese Culture Union - Co-president Internal
Data Science Club - Member
Spartan Statistical Association - Member
Society of Asian Scientists and Engineer - Member
Ultimate Frisbee Club - Member

Google

June 2021

Data Analytics Professional Certificate

Recent Posts

PUBG Player Role Analysis

Grouping professional players in Player Unknown’s Battlegrounds (PUBG) PCS Charity Showdown tournament into different groups of players using the k-means model. The tournament data will be scraped by selenium on the https://esports.pubgrank.org/ page. Building a simple regression model to analyze the relationship between the players from different clusters in each team and the team’s overall placement in the tournament. TL;DR Based on the elbow method, the model created 8 different clusters of players from the input data.

November 13, 2020 Read

Stock Price Prediction

Predicting HSBC Bank stock prices to make better buying/ selling decisions using an artificial recurrent neural network (RNN) architecture: Long short-term memory (LSTM). In addition to using past prices for prediction, I applied some stock technical analysis that I learned to see if it can outperform the deep learning model. Background and Motivation “The greatest risks are never the ones you can see and measure, but the ones you can’t see and therefore can never measure.

September 3, 2020 Read

Improve Product Review System

Improve the traditional product review system through text sentimental analysis and Natural Language Processing (NLP). By taking only the customer review comment about the product as input, I can create a sentiment detection algorithm to rate the product based on the comment. I will also include topic modeling in this project to detect the general topics of what the reviews are about. Background and Motivation I have an idea for this project from the situation I had when doing the thing that most college students do when they are bored: online shopping.

August 28, 2020 Read