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streamlit_app.py
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#!/usr/bin/env python
# coding: utf-8
# In[5]:
import streamlit as st
from PIL import Image
with open("style.css") as f:
st.markdown('<style>{}</style>'.format(f.read()), unsafe_allow_html=True)
#####################
# Header
st.write('''
# Li-Ci(Lilian) Chuang
##### *Resume*
''')
image = Image.open('Professional Photo_2.png')
st.image(image, width=150)
st.info('''
##### I am a senior analyst at Cardlytics, but open to full-time *Business Analyst*/ *Data Analyst*/ *Data Scientist* positions!
''')
st.markdown('## About', unsafe_allow_html=True)
st.info('''
- A data analyst with 4+ years of experiences and a graduate of Purdue University Business Analytics major.
- Proficient in analyzing scalable datasets, digital media measurement, and statistical skills.
- Love digging deep into data and taking on challenges!
- With cross-function collaboration mindset and creative/ critical thinking.
- Core Competencies: Business Analytics, Statistics, Data Mining, ETL, Marketing Analytics, A/B Test, Machine Learning, Data Visualization
''')
#####################
# Navigation
st.markdown('<link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/bootstrap/4.0.0/css/bootstrap.min.css" integrity="sha384-Gn5384xqQ1aoWXA+058RXPxPg6fy4IWvTNh0E263XmFcJlSAwiGgFAW/dAiS6JXm" crossorigin="anonymous">', unsafe_allow_html=True)
st.markdown("""
<nav class="navbar fixed-top navbar-expand-lg navbar-dark" style="background-color: #16A2CB;">
<button class="navbar-toggler" type="button" data-toggle="collapse" data-target="#navbarNav" aria-controls="navbarNav" aria-expanded="false" aria-label="Toggle navigation">
<span class="navbar-toggler-icon"></span>
</button>
<div class="collapse navbar-collapse" id="navbarNav">
<ul class="navbar-nav">
<li class="nav-item">
<a class="nav-link" href="#resume">Home</a>
</li>
<li class="nav-item">
<a class="nav-link" href="#education">Education</a>
</li>
<li class="nav-item">
<a class="nav-link" href="#work-experience">Work Experience</a>
</li>
<li class="nav-item">
<a class="nav-link" href="#data-analytics-project">Data Analytics Project</a>
</li>
<li class="nav-item">
<a class="nav-link" href="#skill">Skill</a>
</li>
<li class="nav-item">
<a class="nav-link" href="#certificate">Certificate</a>
</li>
<li class="nav-item">
<a class="nav-link" href="#contact">Contact</a>
</li>
</ul>
</div>
</nav>
""", unsafe_allow_html=True)
#####################
# Custom function for printing text
def txt(a, b):
col1, col2 = st.columns([4,2])
with col1:
st.markdown(a)
with col2:
st.markdown(b)
def txt2(a, b):
col1, col2 = st.columns([1,4])
with col1:
st.markdown(f'`{a}`')
with col2:
st.markdown(b)
def txt3(a, b):
col1, col2 = st.columns([1,2])
with col1:
st.markdown(a)
with col2:
st.markdown(b)
def txt4(a, b, c):
col1, col2, col3 = st.columns([1.5,2,2])
with col1:
st.markdown(f'`{a}`')
with col2:
st.markdown(b)
with col3:
st.markdown(c)
def txt5(a, b, c, d):
col1, col2, col3, col4 = st.columns([1,2.5,4.5,2])
with col1:
st.markdown(f'`{a}`')
with col2:
st.markdown(b)
with col3:
st.markdown(c)
with col4:
st.markdown(d)
#####################
st.markdown('''
## Education
''')
txt('**Purdue University**', 'WL, Indiana')
txt('*Master of Science*, Business Analytics and Information Management','2021-2022')
st.markdown('''
- Awarded a merit-based scholarship
- GPA: `3.60/4.00`
- Fall semester 2021 Academic Honors
''')
txt('**National Chengchi University**', 'Taipei, Taiwan')
txt('*Bachelor of Arts*, Economics', '2013-2017')
st.markdown('''
- GPA: `3.97/4.00`
- Securities Research Club.
''')
#####################
st.markdown('''
## Work Experience
''')
txt('**Senior Analyst, Cardlytics**','Jul.2022 - Now')
txt('Client Analytics, General Retail', 'Boston, Massachusetts')
st.markdown('''
- Identified opportunities for insights based on `first-party purchase data` to help retailers to acquire and engage with customers
- Measured campaign performance using `A/B test` and `digital media` platform data to support client media mix investment
- Shaped business/ marketing `strategies` with client success team and external industry partners
''')
txt('**Data Analyst Student, Spf.io**','Jan.2022 - Apr.2022')
txt('Industry Practicum, Purdue University', 'WL, Indiana')
st.markdown('''
- `Winner` in poster competition at 2022 INFORMS Business Analytics Conference
- Implemented adaptive machine translation (`AutoML`) experiments in `Google Cloud`, `Microsoft Azure` platform with data sampling and pre-processing, resulting in `8.9%` improvement in BLEU score (translation metric)
- Conducted model validation using `Python NLTK` libraries and a survey to demonstrate statistically significant differences in the models with Friedman Test
- Reduced editing cost by `90%` and time by `98%` by extending massive corpora to meet different domain needs
''')
txt('**Data Analyst Intern, Design Alternatives**','Nov.2021 - Dec.2021')
txt('Database Course, Purdue University', 'WL, Indiana')
st.markdown('''
- Designed, implemented, and optimized database management systems (`MySQL`) in accordance with customer’s needs.
- Helped production scheduling by executing data extraction, improving efficiency and accuracy.
- Automated project progress monitoring and checks tracking, reducing labor time by `30%`.
''')
txt('**Associate Sales Operations Specialist, Merck**','Aug.2020 - May.2021')
txt('Commercial Operations & Strategy, SFE team', 'Taipei, Taiwan')
st.markdown('''
- Built `dashboards` to visualize analytics for sales budget planning and monitoring, supporting decision-making processe with business intelligence solutions.
- Collected and cleaned `historical` and `real-time` data to forecast future demand, optimizing manufacturing plans
- Administered `Salesforce` CRM platform to organize events and maintain customer relationships.
- Administrated and managed system of `territory alignment` and `incentive plan`, to maintain `salesforce` database for `100+` sales representatives from `5` business units.
''')
txt('**Care Program Coordinator, Nokia**', 'Jul.2017 - Jul.2019')
txt('Global Service, Chunghwa Mobile Account', 'Taipei, Taiwan')
st.markdown('''
- Drafted and maintained app to increase fulfillment rate and minimize service impact.
- Analyzed and forecasted the replacement rate of 3G/ LTE installation bases to modify budget planning and reduce system downtime, including `8 teams` and `80+` type of products; ranked in top `5%` for care program (maintenance) internal audits in the Greater China region.
- Collaborated with vendors (`HP` and `Oracle`) to assess necessities of warranty contracts to reduce risk for business.
''')
txt('**Administrative Assistant Intern, Microsoft**', 'Jul.2016 - Jun.2017')
txt('Small and Mid-market Solutions and Partners', 'Taipei, Taiwan')
st.markdown('''
- Led `60` technical and sales trainings with `367 hrs`. in total, with an average satisfaction rating of `8.47/9.00`.
- Designed and maintained Partner@MS `app` with cross-functional teams and refined user experience.
- Organized an `Azure` solution training program, teaching `204` employees and `24` external partners to gain certificates.
''')
#####################
st.markdown('''
## Data Analytics Project
''')
txt5('Python', 'Does-Vaccination-Help-the-Economy?', 'Are vaccines absolutely, 100 percent the answer to economic challenges imposed by the pandemic? Analyzed and visualized the relationship between CDC `vaccination rate` data and U.S. economic indicators, `unemployment rate` data.',
'https://github.com/lilianchi/Does-Vaccination-Help-the-Economy')
txt5('R', 'College-Major-Recommender', 'Many high school students run into a dilemma upon graduation. They do not know where to begin when trying to select a college major. Developed a `Random Forest` prediction model in `R Shiny app` with `interactive` features to aid them in this decision-making process.',
'https://github.com/lilianchi/College-Major-Recommender')
txt5('SAS EM', 'Credit-Default-Prediction', 'Kaggle Competiton: Predicting `credit default` by building a predictive model that utilizes historical payment status and certain demographical information. Using `Gradient Boosting` and `Ensemble` technique.',
'https://github.com/lilianchi/Credit-Default-Prediction')
txt5('Python', 'lost-or-found?','Enhanced the ad-viewers’ experience by analyzing Craigslist’s business model and platform to find improvements and solutions; using `web scraping`, `text mining`, and `image recognition`.',
'https://github.com/lilianchi/lost-or-found')
txt5('SQL', 'Database-Alternatives','Helped an interior design company to solve its timesheet calculation and checks tracking problem by building a database in `MySQL` and executing data extraction',
'https://github.com/lilianchi/Database-Alternatives')
txt5('SAS', 'SAS-Optimization-Challenge', 'Applied a time-series `random walk` forecast and an `optimization model` to optimize the resource allocation problem with minimized cost by `14.8%`.',
'https://github.com/lilianchi/SAS-Optimization-Challenge')
#####################
st.markdown('''
## Skill
''')
txt3('Basic Analytics Tools', '`MS Excel`, `Excel with Analytic Solver`, `@RISK 8.2`')
txt3('Programming', '`Python`, `SQL`, `R`, `SAS`, `SAS EM`')
txt3('Statistics', '`Minitab`, `StatTools 8.2`')
txt3('Data processing/wrangling', '`SQL`, `pandas`, `numpy`')
txt3('Data visualization', '`Power BI`, `Tableau`, `matplotlib`, `seaborn`, `ggplot2`')
txt3('Machine Learning','`scipy`, `scikit-learn`')
txt3('Deep Learning', '`tensorFlow`,`Keras`')
txt3('Model deployment', '`streamlit`, `R Shiny`')
#####################
st.markdown('''
## Certificate
''')
txt5('Oracle SQL', 'Oracle Database 12c SQL Certified Associate 1Z0-071','DDL, DML, DQL, DCL, Aggregration, Join, Condition Expressions, Subquery, Datetime, Sequences, Synonyms, Indexes, Views, User access','https://udemy-certificate.s3.amazonaws.com/pdf/UC-0a070e10-e731-4b9e-bf8d-716ebb08745d.pdf')
txt5('Python', 'Python Fundamentals Track', 'Advanced level in assessment','https://www.datacamp.com/statement-of-accomplishment/track/4a3acb93fce85aabfd09390230585a217c9932dc')
txt5('Python', 'Data Manipulation with Python Track', 'Data Manipulation, Join Data, Database in Python','https://www.datacamp.com/statement-of-accomplishment/track/ecc0df4491f3f40f4e2b5e6a9396660b1f0dd179')
txt5('Python', 'Data Analyst Track', 'Visualization with Matplotlib/Seaborn, Importing/ Cleaning data, EDA, Categorical Data', 'https://www.datacamp.com/statement-of-accomplishment/track/feb13a3355b8ad31a25dbd7bb28e11dfd8ad34f1')
txt5('Python', 'Data Scientist Track', 'Functions, Date and Time, Satistical Thinking, Supervised-learning, Unsupervised-learning, Tree-based Models, Cluster Analysis','https://www.datacamp.com/statement-of-accomplishment/track/06dc785b91f1180e54aaeed570bbd261319b2096')
txt5('SQL', 'SQL Fundamentals Track', 'Join Tables, Summary Statistics, Window Funcions, Text Analysis','https://www.datacamp.com/statement-of-accomplishment/track/92043e9ef4e29d1b53372524eba2a3bd20fbc5a3')
txt5('Tableau', 'Tableau Fundamentals Track','Worksheet, Dashboard, Story, EDA, Parameters, Interaction', 'https://www.datacamp.com/statement-of-accomplishment/track/df95c91be61925f8e31f48cb033af91e699cafee')
# txt4('Python', 'Introduction to Python', 'https://www.datacamp.com/statement-of-accomplishment/course/433731c66ae1b4bbeb40f3f89728156caf638850')
# txt4('Python', 'Introduction to Data Science in Python', 'https://www.datacamp.com/statement-of-accomplishment/course/73bce8b85d68b36fe58943ad713efee0c29a829d')
# txt4('Python', 'Intermediate Python', 'https://www.datacamp.com/statement-of-accomplishment/course/d78c4a9412a86d208de64a3c531ea057b8a397cd')
# txt4('Python', 'Data Manipulation with pandas', 'https://www.datacamp.com/statement-of-accomplishment/course/d9ad98a945e3bfebcf3fa7de14e800c38ab6cd4e')
# txt4('Python', 'Joining Data with pandas', 'https://www.datacamp.com/statement-of-accomplishment/course/75909c8d895a2cf4d564448f02b0abe94f2a5483')
# txt4('Python', 'Introduction to Data Visualization with Matplotlib', 'https://www.datacamp.com/statement-of-accomplishment/course/5c77ce607d19c936cc07ac6ee7171a9e82c578b0')
# txt4('Python', 'Introduction to Data Visualization with Seaborn', 'https://www.datacamp.com/statement-of-accomplishment/course/d266da3cfdf6de611cace2066871debf1305c2ba')
# txt4('Python', 'Intermediate Data Visualization with Seaborn', 'https://www.datacamp.com/statement-of-accomplishment/course/3602b111b859ade772682921da5e5e2bf919e85c')
# txt4('Python', 'Introduction to Importing Data in Python', 'https://www.datacamp.com/statement-of-accomplishment/course/d16974274f44ed26155b007d59d5b38b6f16c036')
# txt4('Python', 'Intermediate Importing Data in Python', 'https://www.datacamp.com/statement-of-accomplishment/course/e1f6e15bf35629f393e8056e4e6cb60f8ae19071')
# txt4('Python', 'Cleaning Data in Python', 'https://www.datacamp.com/statement-of-accomplishment/course/8fc45244a91bafe9d64e9baf25febd1595fc55cc')
# txt4('Python', 'Working with Categorical Data in Python', 'https://www.datacamp.com/statement-of-accomplishment/course/7123a9e9b3b559b31ade4f1e8c8421112eb3642b')
# txt4('Python', 'Exploratory Data Analysis in Python', 'https://www.datacamp.com/statement-of-accomplishment/course/1ef943fa9cfb160032652468c2600cf4e946d74e')
# txt4('Python', 'Analyzing Police Activity with panda', 'https://www.datacamp.com/statement-of-accomplishment/course/3f670be7297721fb6cb7cc0d1c148a4e17151ff9')
# txt4('Python', 'Streamlined Data Ingestion with pandas', 'https://www.datacamp.com/statement-of-accomplishment/course/4b26a61ffe2e265e78aa7dda45cc053243641e3b')
# txt4('Python', 'Introduction to Databases in Python', 'https://www.datacamp.com/statement-of-accomplishment/course/a46ef8f2c56410f955bf891251a228dc566a908b')
# txt4('Python', 'Python Data Science Toolbox (Part 1): Function, Lambda', 'https://www.datacamp.com/statement-of-accomplishment/course/93b99a20fd3552d7c19591749683cf0776b6b296')
# txt4('Python', 'Python Data Science Toolbox (Part 2): Iterations, List comprehension', 'https://www.datacamp.com/statement-of-accomplishment/course/762cb44720359dd82ebad5a6bf5001b655b900f8')
# txt4('Python', 'Working with Dates and Times in Python', 'https://www.datacamp.com/statement-of-accomplishment/course/bb7940fdf06cd9b84e42b11c0900abcc130674d7')
# txt4('Python', 'Writing Functions in Python', 'https://www.datacamp.com/statement-of-accomplishment/course/be27486f54028dfdf5dbb9e0a7373278b4200022')
# txt4('Python', 'Statistical Thinking in Python (Part 1)', 'https://www.datacamp.com/statement-of-accomplishment/course/a0df4e485a0c170a7a839ecfda9d86e11f623528')
# txt4('Python', 'Statistical Thinking in Python (Part 2)', 'https://www.datacamp.com/statement-of-accomplishment/course/5943ed164946a84d657eec5f1aaf64674a4ab766')
# txt4('Python', 'Supervised Learning with scikit-learn', 'https://www.datacamp.com/statement-of-accomplishment/course/c487e379a4c2b23d2210e846f46ba774697b19b4')
# txt4('Python', 'Unsupervised Learning in Python', 'https://www.datacamp.com/statement-of-accomplishment/course/4cd54727f7ed83d4e4724dfc55f56071e9d80ce2')
# txt4('Python', 'Machine Learning with Tree-Based Models in Python', 'https://www.datacamp.com/statement-of-accomplishment/course/b6b98b02a6ebd2d9ae0f41ea33309102383c434e')
# txt4('Python', 'Case Study_School Budgeting with Machine', 'https://www.datacamp.com/statement-of-accomplishment/course/417a608cc78b18aa98f00b6603312d302cab36f6')
# txt4('Python', 'Cluster Analysis in Python', 'https://www.datacamp.com/statement-of-accomplishment/course/653b4aa6b565e9d1cbbe8d4fa4954de7b0f7ff2d')
# txt4('SQL', 'Introduction to SQL', 'https://www.datacamp.com/statement-of-accomplishment/course/74189f8967d733767cacc857fc5387e935ad5278')
# txt4('SQL', 'Introduction to Relational Databases in SQL', 'https://www.datacamp.com/statement-of-accomplishment/course/9ee409a13f241eceba04ceace80ee768363430cd')
# txt4('SQL', 'Joining Data in SQL', 'https://www.datacamp.com/statement-of-accomplishment/course/1e00235eb90442b41281276648b3f21b168a01f7')
# txt4('SQL', 'Intermediate SQL', 'https://www.datacamp.com/statement-of-accomplishment/course/938298af9bb7561fbad10ffcaf14cef7df0256ea?raw=1')
# txt4('SQL', 'PostgreSQL Summary Stats and Window Functions', 'https://www.datacamp.com/statement-of-accomplishment/course/87d4bb80c7787dd6b8887127e866630dfba3ac16')
# txt4('SQL', 'Functions for Manipulating Data in PostgreSQL', 'https://www.datacamp.com/statement-of-accomplishment/course/fdaf8ab34a4a6e5c34152e7b7f0675056ed60ce0')
# txt4('Tableau', 'Introduction to Tableau', 'https://www.datacamp.com/statement-of-accomplishment/course/4e4c9df2364aefa9cc45dd754c1a15214aa6376c')
# txt4('Tableau', 'Analyzing Data in Tableau', 'https://www.datacamp.com/statement-of-accomplishment/course/1ae628e7790653cb0c3b4acc96569807e45fde27')
# txt4('Tableau', 'Creating Dashboards in Tableau', 'https://www.datacamp.com/statement-of-accomplishment/course/151699d1c45a8602544e2d5716b61421b0d46564')
# txt4('Tableau', 'Case Study_Analyzing Customer Churn in Tableau', 'https://www.datacamp.com/statement-of-accomplishment/course/e475db386ec42fd5fc9b1264bf08aa08e1a4a6db')
# txt4('Tableau', 'Connecting Data in Tableau', 'https://www.datacamp.com/statement-of-accomplishment/course/6a07e131e77555fcdd4a38f0ba06f8d44dfc3d36')
# txt4('R', 'Introduction to R', 'https://www.datacamp.com/statement-of-accomplishment/course/433731c66ae1b4bbeb40f3f89728156caf638850')
# txt4('R', 'Data Manipulation with dplyr', 'https://www.datacamp.com/statement-of-accomplishment/course/bbc9f6ada20e2e2776fcad99d5b4532351272bdb')
# txt4('R', 'Introduction to the Tidyverse', 'https://www.datacamp.com/statement-of-accomplishment/course/46bd5c2d51131d94cf986b7c898986245f5c720d')
# txt4('R', 'Introduction to Writing Functions in R', 'https://www.datacamp.com/statement-of-accomplishment/course/465bf6d390d1baee65da2acd3d739b020ab6ab7d')
# txt4('R', 'String Manipulation with stringr in R', 'https://www.datacamp.com/statement-of-accomplishment/course/83be478ff803b61e4dadf26f709d8290b2596f69')
# txt4('R', 'Working with Dates and Times in R', 'https://www.datacamp.com/statement-of-accomplishment/course/93db3a10de7a9f453c07d979924b57aed86c51e5')
# txt4('R', 'Writing Efficient R Code', 'https://www.datacamp.com/statement-of-accomplishment/course/db17dc8e0efe5ad47e940c510f67942e9e6510c8')
# txt4('Power BI', 'Introduction to Power BI', 'https://www.datacamp.com/statement-of-accomplishment/course/ff181e5e94c279c80ff353ca2578d749d7001319')
# txt4('Power BI', 'Exploratory Data Analysis in Power BI', 'https://www.datacamp.com/statement-of-accomplishment/course/361b19db2cd94d4640eac0265b351ed6645b1b0e')
#####################
st.markdown('''
## Contact
''')
image1 = Image.open('LinkedIn.png')
txt2('LinkedIn', 'https://www.linkedin.com/in/lilian-chuang/')
txt2('GitHub', 'https://github.com/lilianchi')
txt2('Resume', 'https://reurl.cc/9OaVeX')
txt2('E-mail', '[email protected]')
txt2('Mobile', '(765)-775-7780')
# In[ ]: