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Name: Lina Ta

Type: User

Bio: Data science enthusiast with experience in the design and development of data analytics solutions as well as machine learning tools for predictive modelling

Location: Hong Kong

Blog: https://www.linkedin.com/in/lina-ta-73772754/

Lina Ta's Projects

ab-test-a-new-menu-launch

Using Alteryx, we designed and analysed an A/B test and wrote up a recommendation on whether a coffee chain should introduce a new menu.

baseball-players-data-visualization-project-

Using Tableau, the objective of this investigation is to find visual evidence that a baseball player's BMI and handedness can be a determinant in its performance measured by its batting average and number of home run.

developing-an-image-classifier-with-deep-learning

Using deep learning model to train an image classifier to recognize different species of flowers.

disaster-response-pipeline

Build a machine learning pipeline that can automatically classify disasters messages to allow agencies to determine more efficiently the nature of the disaster

finbert

Financial Sentiment Analysis with BERT

finding-donors-for-charitym

Using several supervised algorithms to model individuals' income using data collected from the 1994 U.S. Census.

forecast-video-game-demand-

Using Alteryx, we used time series forecasting models to forecast monthly demand for a video game producer production plan.

innoplexus-online-hackathon

Using Python, we built a natural language processing model to classify webpages into predefined tag classes

mckinsey-analytics-online-hackathon-

Using XGBoost in Python, we built a prediction model to determine clients propensity to renew their insurance policy and create an incentive plan for agents (at policy level) to maximise the net revenues from these policies.

movie-trends-since-1960

Using Tableau, we analysed major movie trends since 1960s

predicting-catalogue-demand

Using Alteryx, we want to predict how much profit a company can expect from sending its catalog to new customers

predicting-default-risk

Using Alteryx, we built and applied a classification model to provide a recommendation on which loan applicants the bank should lend to.

predictions-models-for-store-expansion-project

Using Alteryx, we used multiple analytical techniques to provide recommendations on a grocery store chain expansion project.

recommendations-with-ibm

Analyze the interactions that users have with articles on the IBM Watson Studio platform, and make recommendations to them about new articles they would like.

red-wines-exploratory-data-analysis

Using R, we analyzed a sample of red wines through their chemical properties and see which chemical properties may determine their quality.

seattle-airbnb-data

Using pandas, seaborn and matplotlib, we deep dive into the Seattle Airbnb Open Data set to analyse the hosting market in 2016 and provide some insights for homeowners looking to set up their hosting business plan.

starbucks-capstone-challenge

Using k-means to perform Starbucks mobile app's customer segmentation and determine which demographic groups respond best to their promotion offer

weratedogs-twitter-data-wrangling-project-

Using Python, we are interested to extract and analyze data from the WeRateDogs twitter feed based on comments, images, ratings, favorite and retweet counts.

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