Kicho Yu

Kicho Yu Email and Phone Number

California, United States
Kicho Yu's Location
Los Angeles, California, United States, United States
Kicho Yu's Contact Details
About Kicho Yu

I am well-versed in Python, SQL, Tableau (certified), Looker, Excel, R, SAS, and Spark. I am seasoned with data modeling, ETL, data visualization, data analytics, A/B testing, EDA, machine learning, and data mining. I believe that data confess numerous and amazing facts, once I take care of them with love and passion. I feel like reading Mother Goose or Brüder Grimm's fairy tales, when I uncover compelling stories from data. This process makes me empathetic to the customers behind the data.I am a people person as my military background explains. I love different cultures and languages. I want to be like my grandfather who speaks seven languages and lives with his motto: 2 M's aka Messiah and Mathematics.Let's make the world a better place with data analytics.========================================A snapshot of how data work in the Bible. (BTW, I think data are plural.)Don’t store up treasures here on earth, where moths eat them and rust destroys them, and where thieves break in and steal. Store your treasures in heaven, where moths and rust cannot destroy, and thieves do not break in and steal.Matthew 6:19-20I think that is why human beings created a cloud to store data. It is on earth, but a little bit more closer to heaven. Data are precious.

Kicho Yu's Current Company Details
Silicon Valley Cybersecurity Institute

Silicon Valley Cybersecurity Institute

View
Researcher
California, United States
Website:
svcsi.org
Employees:
10
Kicho Yu Work Experience Details
  • Silicon Valley Cybersecurity Institute
    Researcher
    Silicon Valley Cybersecurity Institute
    California, United States
  • Microsoft Teals Program
    Instructor
    Microsoft Teals Program Jun 2023 - Present
    Redmond, Us
    Taught AP CSP (Advanced Placement Computer Science Principles) on CodeHS.com at Computer Science Virtual Academy
  • Usc Information Sciences Institute
    Research Assistant
    Usc Information Sciences Institute Aug 2022 - Present
    Marina Del Rey, California, Us
    Created an detection algorithm to decide flows to share without compromising privacy.
  • Northeastern University
    Research Assistant
    Northeastern University Jan 2022 - Apr 2024
    Boston, Ma, Us
    • Conducted a research remotely from San Francisco Bay Area with a professor in the Boston campus• Data localization• Presented twice to faculty and 14 students on data localization compliance with Internet measurement
  • Northeastern University
    Research Assistant
    Northeastern University May 2021 - Jan 2022
    Boston, Ma, Us
    • Conducted a research remotely from San Francisco Bay Area with a professor in the Seattle campus• Robust Federated Learning in Adversarial Setting• Network Intrusion Detection
  • Northeastern University
    Graduate Teaching Assistant
    Northeastern University Sep 2020 - Apr 2021
    Boston, Ma, Us
    • Taught remotely from San Francisco Bay Area.• CS1100 - Computer Science and Its Applications• CS3200 - Database Design
  • Silicon Valley Cybersecurity Institute
    Research Assistant
    Silicon Valley Cybersecurity Institute Jun 2021 - Aug 2022
    Kicho Yu, Khanh Nguyen and Younghee Park, "Flexible and Robust Real-Time Intrusion Detection Systems to Network Dynamics," in IEEE Access, vol. 10, pp. 98959-98969, 2022, https://doi.org/10.1109/ACCESS.2022.3199375Priyatham Ganta, Kicho Yu, Dharma Dheeraj Chintala, and Younghee Park. "Adaptive Network Security Service Orchestration Based on SDN/NFV." In International Conference on Information Security Applications, pp. 231-242. Springer, Cham, 2021.https://doi.org/10.1007/978-3-030-89432-0_19
  • Google
    Csrmp Scholar (Computer Science Research Mentorship Program)
    Google Sep 2021 - Dec 2021
    Mountain View, Ca, Us
    CSRMP Cohort 2021 B
  • Anchorfree
    Core Data Analyst
    Anchorfree Dec 2018 - May 2020
    Redwood City, California, Us
    Please refer to my experience at Pango. AnchorFree is rebranded as Pango.
  • Pango
    Core Data Analyst
    Pango Dec 2018 - May 2020
    Boston, Massachusetts, Us
    • Developed REST API pipelines in Python (requests, json) to ingest new features from a vendor• Performed A/B tests and concluded that our customers are price elastic to make 15% difference in revenue: 1.3% vs 1.5%• Reconciled data discrepancy among different sources of 200K installs and $10K cost as a main point of contact in marketing data in the company• Implemented bot analysis to cease false signal which consisted of 25% of desktop traffic with no conversion• Increased channel CTR to 10% and spend by 25% providing geos and keywords while maintaining CAC• Created, maintained, and monitored numerous Tableau dashboards to inform and alert stakeholders and presented at an all-hands meeting• Cross-validated marketing data for data migration from on-premise Hadoop into AWS (S3, EMR)• Initiated the speedometer test for free users that showed no impact on app performance and retention• Conducted a South Korea bot analysis based on User Agents which consisted of 25% of the web traffic
  • Nuna Inc.
    Senior Business Intelligence Engineer
    Nuna Inc. May 2018 - Nov 2018
    San Francisco, California, Us
    • Implemented new customer with 16,000 lives by creating a database structure and MVC connection in Looker in order to provide an insight on medical claims and enrollments• Refactored the codebase in BigQuery and Liquid in order to increase readability and improve long term stability• Revamped LookML deployment tool using Python that connects to Gitlab that supports different business verticals• Insured all SLAs met by coordinating monthly dashboard releases to customers with 800,000 lives• Served as a subject matter expert by hosting weekly office hours
  • Lyft
    Financial Data Analyst
    Lyft Aug 2017 - 2018
    San Francisco, Ca, Us
    • Created an auto-correction algorithm to show a right U.S. state for a region for 1.4 million clients' 1099 tax return• Generated Daily Spend Report using Redshift and Python (pandas, notebooksalamode) to provide daily visibility in accounting numbers, by establishing most of the ETL pipelines• Established the first sustainable SQL query for U.S. 1099 tax return with different data models• Established the company's first and sustainable SQL query (JSON parsing) for Canada T4A tax return
  • Squaretrade
    Business Data Analyst
    Squaretrade Oct 2015 - Aug 2017
    Brisbane, California, Us
    • Initiated and built many automated ETL pipelines for the team using Python (argparse, pandas, psycopg2, re, urllib), PostgreSQL, and Tableau to extract from data to provide revenue, margin, and fee for the senior management• Discovered with 3 different models (month-to-month, triangles, and exposures) that sending a confirmation E-mail adversely increase frequency of claims by 55%• Optimized ETL processes and SQL queries for monthly sales summary data from 3 days to 6 hours• Developed numerous queries in PostgreSQL (ctid, WITH, PARTITION BY) from scratch to acquire right data for new business, insurers or channels and to QA those data• Updated and ran a monthly query to align 1.7 million accounts with the current business contract
  • Headway Workforce Solutions
    Data Mining Engineer
    Headway Workforce Solutions Sep 2015 - Apr 2016
    Raleigh, Nc, Us
  • University Of San Francisco
    Grading Assistant
    University Of San Francisco Oct 2015 - Feb 2016
    San Francisco, Ca, Us
    • Created solutions for assignments and graded graduate students' assignments• Interacted with graduate students and uncluttered grading criteria and potential improvement
  • Acumen Llc / The Sphere Institute
    Data And Policy Analyst
    Acumen Llc / The Sphere Institute Oct 2014 - Aug 2015
    Burlingame, California, Us
    • Verified with a Poisson regression model that the high-dose vaccine was 22% more effective than the standard-dose vaccine for prevention of flu hospital admissions and probable flu infections• Presented data analytics to clients, created charts (ggplot2) and tables (rmarkdown), wrote memoranda to explain data sources and statistical techniques for a bi-weekly and a monthly conference call• Informed the decisions of the U.S. local, state, and federal government agencies in the realm of health policy• Implemented algorithm to detect diabetic ESRD population by using SAS, R, and SQL • Helped clients detect fraud in adverse beneficiary selection, care stinting, over utilization by creating and monitoring indicators in Medicare cost
  • Autogrid Systems
    Data Scientist Intern
    Autogrid Systems Oct 2013 - Jun 2014
    Redwood City, California, Us
    • Improved a model’s accuracy by 12% during peak times of 700 residential households performing feature engineering with Python (pandas, sklearn) and R (randomForest)• Reduced MAPE to 2% in predicted aggregate-hourly-load model with Bayesian hierarchical models• Analyzed socioeconomic profile of customer segmentation and energy efficiency using 9 million events; Discovered that energy efficiency is high for customers with bigger buildings• Helped clients shedding load, saving money, and conserving natural resources by forecasting the peak load with generalized and dynamic linear models and k-NN model• Scraped weather data from websites in Spain, displaying them by province and weather station
  • Samsung Fire & Marine Insurance
    Product Development And Actuarial Intern
    Samsung Fire & Marine Insurance Feb 2011 - Apr 2011
    Seoul, Kr
    • Predicted major factors in a group accident product, analyzing Predictive Loss Ratio (PLR) using Excel• Conducted data mining to launch a product for the assembled computer warranty• Monitored and updated a database of various insurance policies• Adjusted the loss ratio according to the current business law in Korea• Searched and compared the difference in marine insurance law among California, New York, and Korea
  • Purdue University
    Research Student In Statcom (Statistics In The Community)
    Purdue University Apr 2010 - Dec 2010
    West Lafayette, In, Us
    • Predicted housing sale prices, performing factor analysis in R and SAS• Extracted influential variables out of 60,092 data points and modeled based on multivariate regression• Examined popular sources of entertainment information for attendees and their satisfaction
  • Purdue University
    Research Assistant
    Purdue University Jun 2010 - Aug 2010
    West Lafayette, In, Us
    • Created a statistical model on entropy by manipulating multiple-tuples• Searched and plotted the patterns of independent variables in copula• Discovered a contradiction in a hypothesis in conditional probability from MATLAB simulations on various distributions
  • Republic Of Korea Army Special Warfare Command (Airborne)
    Sergeant — Translator / Interpreter
    Republic Of Korea Army Special Warfare Command (Airborne) Jul 2007 - Jun 2009
    • Compiled and analyzed a quarter report of battle readiness using Excel• Demonstrated leadership by maintaining soldiers' balance in discipline and personal life• Translated and published Operational Concepts, audio visual book, and year book• Jumped from Chinook (CH-47) and balloons multiple times and experienced in Fast Rope
  • Sife United States
    Treasurer And International Chair
    Sife United States Aug 2004 - Jun 2007
    Springfield, Missouri, Us
    • Hosted and solved financial case study competitions to rescue college student loan debtors • Achieved first runner-up twice in a regional entrepreneurship competition in Chicago, IL by presenting in front of corporate leaders• Raised $500 per year and operated an organization account of $22,000• Set up and coordinated the 1st National Entrepreneurship Competition in Korea

Kicho Yu Skills

Data Analysis Statistics R Python Statistical Modeling Sql Data Mining Sas Machine Learning Matlab Analysis Research Microsoft Excel Leadership Taekwondo Tableau Teaching Time Series Analysis Bayesian Inference Analytical Skills Text Mining Access Non Parametric Statistics Powerpoint Spark Postgresql Mapreduce Deep Learning Fundraising Pytorch Problem Solving Looker Lookml Randomization Propresenter Compassion Empathy Etl Redshift Hipaa Actuarial Science

Kicho Yu Education Details

  • University Of Southern California
    University Of Southern California
    Computer Science
  • Northeastern University
    Northeastern University
    Computer Science
  • University Of San Francisco
    University Of San Francisco
    Data Analytics
  • The Ohio State University
    The Ohio State University
    Statistics
  • Purdue University
    Purdue University
    Business Management

Frequently Asked Questions about Kicho Yu

What company does Kicho Yu work for?

Kicho Yu works for Silicon Valley Cybersecurity Institute

What is Kicho Yu's role at the current company?

Kicho Yu's current role is Researcher.

What is Kicho Yu's email address?

Kicho Yu's email address is an****@****ail.com

What is Kicho Yu's direct phone number?

Kicho Yu's direct phone number is +176543*****

What schools did Kicho Yu attend?

Kicho Yu attended University Of Southern California, Northeastern University, University Of San Francisco, The Ohio State University, Purdue University.

What are some of Kicho Yu's interests?

Kicho Yu has interest in Science And Technology, Intellectual Conversation.

What skills is Kicho Yu known for?

Kicho Yu has skills like Data Analysis, Statistics, R, Python, Statistical Modeling, Sql, Data Mining, Sas, Machine Learning, Matlab, Analysis, Research.

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