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About Me

  • 🔭 With 5 years’ experience as data analyst, I am passionate about the delivery of data solutions in line with strategic business objectives and foster data-driven decision in my future career. My aspiration is to excel as a Senior Analyst or Project Manager.
  • 🛠️ I am proficient in using tools like SQL, Python, and SAS.
  • 📈 I'm skilled in creating compelling data visualizations and dashboards using Tableau.
  • 📉 I've contributed to projects that have had focus on data analysis, machine learning, and data visualization.
  • 🌱 Currently pursuing a Master of Management in Analytics at McGill University, I am developing advanced statistics and programming skill set alongside comprehensive management knowledge.

Thank you for visiting my GitHub profile. I'm excited to share my passion for analytics and problem solving. Look forward to connecting with you!

Sherry Huang's Projects

agi_influence_network_analysis icon agi_influence_network_analysis

Analyzing the AGI sector to identify influential yet lesser-known founders through network analysis. This project applies centrality metrics and community detection to highlight key individuals who are central in their networks but may not have wide public recognition.

cineforecast icon cineforecast

The project goal is to predict the IMDb ratings of the twelve upcoming blockbusters through statistical model training using about 2,000 movies on IMDb while targeting general modelling issues.

concord_chatbot icon concord_chatbot

The project focused on improving Concord, a Montreal travel agency, with a Chatbot. It aimed to enhance the current website by providing personalized services using machine learning. Four scenarios were integrated to elevate the customer experience, centering on three key travel aspects.

dataco_supply_chain icon dataco_supply_chain

This project focuses on leveraging the DataCo Smart Supply Chain dataset from Kaggle to build predictive models that serve critical business functions: forecasting monthly demand, detecting fraudulent orders, and clustering orders to identify common traits in fraud cases.

game_analysis_pandas icon game_analysis_pandas

Generated reports and tables that broke down a game's purchasing data into meaningful insights.

hitmusic_predict icon hitmusic_predict

Tackled the question of hit songs prediction by focusing on data subtracted from the past three decades. Datasets were built to try to find changes in hit music features and differences. ML models were built to train and test, Random Forest and Support Vector Machine appeared to be the ones with highest accuracy in both cases.

javascript_dom_manipulation icon javascript_dom_manipulation

Created a table dynamically based upon provided dataset, allowed users to filter the table data for specific values.

mcdonalds_store_reviews_analytics icon mcdonalds_store_reviews_analytics

Analyze customer reviews from McDonald's across the U.S. using NLP techniques to uncover insights into customer satisfaction and preferences. This project employs libraries like NLTK, spaCy, and VADER to perform sentiment analysis, topic modeling, and data visualization to inform business strategy enhancements.

public-apis icon public-apis

A collective list of free APIs for use in software and web development.

rummikub_solver icon rummikub_solver

Utilizing Gurobi Optimizer, this project explored two ILP models—maximizing number of tiles played and maximizing total value of tiles played—to optimize tile placement in the two-player Rummikub game.

suicide_rates_overview icon suicide_rates_overview

Compared socio-economic data from 38 countries to analyze trends in suicide rates using linear and non-linear models; plotted and presented findings using line chart, bar plot, scattered plot and Google Heatmap.

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