Quote
Overview
Work Preference
Timeline
Summary
Skills
Education
Work History
PROJECTS
Languages
Affiliations
Websites
Generic
YANISA KAEWKHAO

YANISA KAEWKHAO

Ann Arbor,MI

Quote

Growth demands a temporary surrender of security.
Gail Sheehy

Overview

10
10
years of professional experience
6
6
years of post-secondary education

Work Preference

Work Type

Full TimeGig Work

Work Location

RemoteHybrid

Important To Me

Career advancementWork-life balanceCompany CultureWork from home optionTeam Building / Company RetreatsPersonal development programsStock Options / Equity / Profit SharingFlexible work hours

Timeline

Data Scientist

Kasikorn Bank
01.2022 - 02.2025

Product Manager

Kasikorn Bank
07.2021 - 12.2021

Data Scientist Intern

SnapLogic
06.2020 - 08.2020

M.S. - Data Science

University of Michigan
08.2019 - 04.2021

Benchmark Specialist

Thai Oil PCL
08.2015 - 06.2019

B.S. - Chemical Engineering

Chulalongkorn University
05.2010 - 04.2014

Summary

Innovative Data Scientist and Product Manager with expertise in predictive modeling and machine learning, instrumental in boosting app-in rates and demand forecasting accuracy at Kasikorn Bank. Demonstrated proficiency in SQL, Python, and project management, with a focus on cost savings and operational efficiency. Proven ability to lead cross-functional teams and drive product enhancements in the financial sector. Committed to leveraging data insights for strategic decision-making.

Skills

Technical skills: Machine Learning, Predictive Modeling, SQL, Python, Databricks, CDSW, Statistical Analysis, Anomaly Detection

Soft skills: Data-driven Decision Making, Cross-functional Team Leadership, Project Management

Education

M.S. - Data Science

University of Michigan
Ann Arbor, Michigan
08.2019 - 04.2021

B.S. - Chemical Engineering

Chulalongkorn University
Bangkok, Thailand
05.2010 - 04.2014

Work History

Data Scientist

Kasikorn Bank
Bangkok, Thailand
01.2022 - 02.2025
  • Led predictive modeling projects, resulting in doubled app-in rates for commercial loan customers by utilizing LightGBM and Optuna.
  • Enhanced ATM demand forecasting accuracy by 4% through the implementation of ensemble modeling techniques on Databricks.
  • Achieved a precision of over 40% on a monthly basis for detecting nominee accounts in Cambodia by analyzing mobile banking logs and geolocation.
  • Uncovered signs of unemployment fraud through detailed analysis of payroll and Social Security data.
  • Utilized statistical analysis and data visualization to address high turnover rates among key positions, such as data scientists, and business analysts.

Product Manager

Kasikorn Bank
Bangkok, Thailand
07.2021 - 12.2021
  • Increased user engagement on the social banking platform by optimizing SQL and BI tools in collaboration with the marketing and UX teams.
  • Spearheaded the development of automation systems for improved reporting efficiency, resulting in streamlined product data management.

Data Scientist Intern

SnapLogic
Bangkok, Thailand
06.2020 - 08.2020
  • Identified cost-effective transportation modes through the large-scale logistic data, using Snaplogic and Tableau.
  • Optimized logistic costs by performing vehicle classification analysis with AutoML H2O Distributed Random Forest.

Benchmark Specialist

Thai Oil PCL
Bangkok, Thailand
08.2015 - 06.2019
  • Founded AI club to foster innovation across departments, integrating design thinking into corporate processes.
  • Developed regression models, combined with fundamental sentiment analysis, to predict benzene's market prices from multiple sources.
  • Executed biennial refinery benchmarking studies with an energy consultant firm, in which the results were used to reduce working hours by 90 hours per year (equaling US$37,000 per year).
  • Implemented a benchmark monitoring system and initiated forecasting tools for predictive analysis, resulting in cost minimization of $7,500 per year.

PROJECTS

An Information Retrieval-based Chatbot [Python]

  • Implemented a chatbot from the Reddit conversation pairs dataset using a relevant function-based NLP ranking library, rank_bm25, resulting in a 110% improvement from the random sample baseline.
  • Developed a new ranking function from BM25+ and modified TF-IDF for coronavirus-related queries to match against documents containing those answers or related information, resulting in a 2,135% improvement from the NDCG@10 baseline.

Personalized Recommendation on Sephora [Python] http://bit.ly/3cxDkUC

  • Built a recommender system using Neural Collaborative Filtering, a deep learning method, from more than 300K reviews on skincare products scraped from the Sephora website, resulting in a 20% improvement over the SVD baseline.
  • Developed a recommendation system for onboarding users through KModes categorical clustering technique.

Socioeconomic and Racial Bias in Predictive Policing [Python]

  • Forecasted crime trends using collaborative filtering, SVD, and ARIMA time-series models on Chicago's crime data from 2001-2020.
  • Utilized negative binomial regression to analyze bias in crime rates across different races.

Social Media Database

  • Designed a database schema and implemented SQL scripts to store and display user information for the social media platform.
  • Developed Java application to execute SQL queries for enhancing friend suggestion algorithm.

Languages

English
Advanced (C1)
C1
Thai
Proficient (C2)
C2

Affiliations

  • Innovation
  • Psychology
  • Engineering
  • Travel
  • Music
  • Muay Thai
  • Dance
  • Scuba Diving
YANISA KAEWKHAO