Kicho Yu Email and Phone Number
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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.
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ResearcherSilicon Valley Cybersecurity InstituteCalifornia, United States -
InstructorMicrosoft Teals Program Jun 2023 - PresentRedmond, UsTaught AP CSP (Advanced Placement Computer Science Principles) on CodeHS.com at Computer Science Virtual Academy -
Research AssistantUsc Information Sciences Institute Aug 2022 - PresentMarina Del Rey, California, UsCreated an detection algorithm to decide flows to share without compromising privacy. -
Research AssistantNortheastern University Jan 2022 - Apr 2024Boston, 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 -
Research AssistantNortheastern University May 2021 - Jan 2022Boston, 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 -
Graduate Teaching AssistantNortheastern University Sep 2020 - Apr 2021Boston, Ma, Us• Taught remotely from San Francisco Bay Area.• CS1100 - Computer Science and Its Applications• CS3200 - Database Design -
Research AssistantSilicon Valley Cybersecurity Institute Jun 2021 - Aug 2022Kicho 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 -
Csrmp Scholar (Computer Science Research Mentorship Program)Google Sep 2021 - Dec 2021Mountain View, Ca, UsCSRMP Cohort 2021 B -
Core Data AnalystAnchorfree Dec 2018 - May 2020Redwood City, California, UsPlease refer to my experience at Pango. AnchorFree is rebranded as Pango. -
Core Data AnalystPango Dec 2018 - May 2020Boston, 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 -
Senior Business Intelligence EngineerNuna Inc. May 2018 - Nov 2018San 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 -
Financial Data AnalystLyft Aug 2017 - 2018San 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 -
Business Data AnalystSquaretrade Oct 2015 - Aug 2017Brisbane, 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 -
Data Mining EngineerHeadway Workforce Solutions Sep 2015 - Apr 2016Raleigh, Nc, Us -
Grading AssistantUniversity Of San Francisco Oct 2015 - Feb 2016San Francisco, Ca, Us• Created solutions for assignments and graded graduate students' assignments• Interacted with graduate students and uncluttered grading criteria and potential improvement -
Data And Policy AnalystAcumen Llc / The Sphere Institute Oct 2014 - Aug 2015Burlingame, 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 -
Data Scientist InternAutogrid Systems Oct 2013 - Jun 2014Redwood 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 -
Product Development And Actuarial InternSamsung Fire & Marine Insurance Feb 2011 - Apr 2011Seoul, 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 -
Research Student In Statcom (Statistics In The Community)Purdue University Apr 2010 - Dec 2010West 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 -
Research AssistantPurdue University Jun 2010 - Aug 2010West 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 -
Sergeant — Translator / InterpreterRepublic 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 -
Treasurer And International ChairSife United States Aug 2004 - Jun 2007Springfield, 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
Kicho Yu Education Details
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University Of Southern CaliforniaComputer Science -
Northeastern UniversityComputer Science -
University Of San FranciscoData Analytics -
The Ohio State UniversityStatistics -
Purdue UniversityBusiness 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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