Hypothesis Testing on Museum of Modern Art's Collection

Data Scientist

Documentation

Python Code - Notebook Viewer

Bootstrap Method on Age

Hypothesis Testing and Statistical Inference on Nationality of Artists

Description

Continuing from visualizing the dataset of MoMA’s art collection, I am using the bootstrap method to make inferences about the population in cases wherein there is only a limited amount of samples or subset of data from the larger population, given a chosen population parameter.

Moreover, with a hypothesis test, I can compute the likelihood of my test statistics approximating the value of the real population parameter well or not. A well-designed hypothesis test includes a null and alternative hypothesis and p-value or z-score or confidence interval to describe how well this statistical model compares sample data against the population data.


• Skills: hypothesis testing, null hypothesis, estimation, random sampling, resampling, bootstrap, statistical inference, p-value, confidence interval, z-score, data visualization, panda, python, dataframe, NumPy, matplotlib, seaborn



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Visualizing the Museum of Modern Art through Data

Data Scientist

Documentation

Python Code - Notebook Viewer

Gender

Sources of Collection

Age

Nationality

Categories of Art

Description

I selected the dataset of artists and artworks from the Museum of Modern Art in New York City as part of my ongoing research focus on art. With over 139,000+ works by 15,000+ artists spanning across 170 years, the dataset is rich with attributes of 29 columns and updated monthly.

Its cultural significance as one of the foremost art collections worldwide could shed light on where the art world once was and where it is trending towards now. I examined my areas of interest in gender, nationality, diversity of categories of art, age of artists and artworks, and sources of collections.

By storytelling with graphs, charts, and lines, I was able to identify patterns, extract insights and visualize similarities or discrepancies that might not be self-evident when working with these large datasets. Through the series of data visualizations on 2.18 billions of data points, I am hoping to inform how we could foster a more open, diverse, and enriching tomorrow for the art world at large.


• Skills: data processing, data wrangling, data transformation, data visualization, panda, python, dataframe, NumPy, matplotlib, seaborn



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Cities, Emotions, and Emoticons

Team member

Documentation

Goals

A sentiment analysis and data visualization of Twitter feeds and popular emoticons on the world’s top travel destinations



• Key Results

  What emotions do different places evoke? We built an information organization and retrieval system to allow users to see the real sentiment and emotions associated with each travel destination. We rely on unaltered twitter feeds and tweets for some of the world’s most famous tourist destinations based on their geotagged location on a week’s worth of data.
  
  We hypothesize emotion could be inferred from text-based sentiment and the popular usage of emoticons on Twitter. To help our users filter locations by emoticons and filter sentiment by locations, we used sentiment analysis from VADER library to classify all tweets, either geotagged or keyword-based. Classifying tweets by sentiment at each destination or each emoticon, combined with the frequency count by each emoticon, became the central focus of our organization system.
  
  Moreover, to enable fast, lightweight, and intuitive queries with data, we created a menu-based system of interaction design where the user is encouraged to explore most commonly asked queries and access clear, geospatial maps or bar visualizations, and deep dive into data in a more accessible, visual format.

• Skills: data clean-up, data engineering, classification, sentiment analysis, data visualization, user interaction

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Go Cart

Designer

Documentation

Try Prototype

Description

GoCart is your friendly, neighborhood grocery cart that acts as a shopping companion. In a world with so many choices, choosing the right foods for you is a constant challenge ‒ especially since everyone isn’t the same.

First, GoCart helps personalize your grocery runs through a quick and easy survey. However, GoCart doesn’t stop there. At the grocery store, GoCart helps encourage good behavior and discourage bad behavior with haptic feedback through shakes and vibrations and audio cues. It is personality generated according to your preference, as well a customized look.

Beyond a shopping cart, GoCart is no longer a tool in the grocery, it is your buddy to help you become a better person.
• Skills: user experience research, design, prototype, user interaction mapping, user journey



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Time's Up

Maker

Video

Description

A crawling robot that turns and trips to muse on life’s forks and falls
• Skills: design research, Arduino, laser cut, soldering, circuits



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Sunglight Blossom

Artist

Documentation

Goals

A digital media interaction based on light and visual art



• Results

  Based on the photocell’s sensor of light level, it changes the LED light’s brightness and creates flowers of varying sizes on colorful hues and visual art on the computer digitally.

• Skills: design research, Arduino, laser cut, 3D printing, fusion 360, autoCAD, soldering, circuits, Processing

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Fareportal

Product Management Lead

Fareportal

Business Goals

Consulted as product lead to strengthen proprietary A/B testing tool for launching 200+ experiments annually on 55MM+ users worldwide



• Key Results

  • Gathered requirements from engineering, data science, and design to build a product roadmap with focus on statistical prediction modeling, custom analytics, and usability
  
  • Spec-ed features, wrote user-stories, and ran daily stand-ups for team of four
  
  • Launched personalization and recommendation algorithms to drive acquisition

• Skills: product roadmap, requirements gathering, daily stand-up, user stories, ab testing, statistics modeling, prediction, audience segmentation, custom analytics, usability, stakeholder management

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Saks Fifth Avenue

Lead Product Manager

iMessage & iOS app

Business Goals

Support personalized shopping service via iMessage and iOS apps to lift app revenue, increase store foot traffic, and elevate brand.

Key Results

Led product management for personal shopping service and eCommerce website for Saks Fifth Ave & Saks Off Fifth reaching 20MM users worldwide

• Ideated, developed, and launched personalized shopping service for consumers to connect to stylists nearby and seek fashion advice via iOS & iMessage apps intuitively

• Created and executed go-to-market strategy to increase relationship-driven loyalty

Seamless shopping journey for consumers anytime, anywhere via chat. Service design reimagined by technology.

Press Accolades

Glossy, Gartner L2 Inc, Centric Digital

• Skills: design sprint, lean method, MVP, competitive analysis, UI/UX design, data analytics, PR, product marketing

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Saks Off 5th

Sr Product Manager

m.saksoff5th.com/checkout

Business Goals

After conducting a series of customer interviews, it became clear Saks Off Fifth's .com's checkout process was unnecessarily difficult for all customers to make a purchase. Increasingly, these customers are shopping via their mobile phones and demanding greater simplicity, clearer navigation, and faster technical delivery with no tolerance for any hiccups. Now that more than half of the customers are buying on mobile and contributing more mobile spend to the overall online revenue, this undertaking sets in stone how the business could capture and convert more digital customers in a whole new way.

• Key Results

  • Led a cross-functional team of ten to redesign and launch responsive web checkout resulting in improved conversion rate by 6% and incremental $7 MM+ revenue
  
  • Synthesized requirements from stakeholders and sources of customer feedback to distill them into actionable product roadmaps and evangelize across large matrixed company

• Skills: conversion optimization, daily scrum, usability research, ab testing, data analytics, stakeholder management

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