• Effective Communication of Data Science Solutions: Developed numerous ad-hoc machine learning models to address a variety of business problems across Sales, Supply Chain, Retail, Finance and Marketing, providing quick and actionable insights. Regularly communicated complex technical findings to non-technical senior leaders and VP-level executives through detailed and engaging presentations, influencing high-level strategic decisions.• End-to-End Machine Learning Pipeline: Designed and deployed a machine learning framework to identify and prioritize prospective customers for Grainger’s KeepStock business segment involving developing custom SQL queries for data extraction and transformation, orchestrating workflows with Airflow, containerizing applications with Docker, implementing predictive models with Sklearn, publishing and updating model output to Snowflake tables for seamless data accessibility and reporting, and monitoring with Grafana and AWS for performance evaluation.• NLP in Measuring Seller Effectiveness: Developed and implemented an NLP pipeline for topic modeling and keyword extraction for seller CRM notes using NLTK and LDA. Integrated these insights into Random Forest models along with other seller KPIs to understand seller effectiveness, resulting in improved model accuracy and business decision-making.• A/B Testing and Profitability Measurements: Driving cross-functional collaboration with Supply Chain and Retails conducting experiments like retail space optimization, supply chain delivery capabilities. Used A/B testing to measure ROI and sales lifts by performing statistical hypothesis testing and create recommendations to high level executives.• Full Cycle Data Science Consultancy for Sales Territory Redesign: Developed a Logistic Regression models to identify and prioritize prospective customers for effective seller territory redesign. Collaborated with finance and coverage teams to roll out the project nationwide.

Created a Machine Learning simulation model (SVR & RF) based on queueing theory to predict customer wait-times for 1000+ Walmart Auto Care Centers – achieved a 25% decrease in error vs existing Neural Network model and pushed to production

Allstate Brand Operation (ABO) - ABO Finance and Metrics • Maintained and cross-validated R-forecasting through time-series analysis on department specific expenses ensuring success of key strategic investments and business transformation in support of the organizational goals• Improved R forecast accuracy by 5% for the year 2019 and 2020 by leveraging R-forecastingmodels like ARIMA and TSLM for 8 service areas with $220M budget

• Visualized analyzed survey results in Tableau for executive and marketing teams to implement possible improvements• Set up and optimize Google Analytics and Google Data Studio to perform in-depth analysis of websites media• Lead a team of six data analysts to analyze weekly post-event survey data using Excel, SPSS, R to generate reports• Used R cleaning and merging data of over 10,000 responses to provide recommendations for process improvement

Team: Global Capital Group; National Hospitality Group; HK & Lee Advisors• Performs financial modeling and valuation analysis to evaluates risks and returns for investment opportunities using underwriting models• Interacts with brokers and sellers to accurately understand and determine transaction assumptions, facts, and risks necessary to properly evaluate an opportunity• Prepare market research on the real estate macro environment, real estate sectors, geographic focus and fund sponsors• Created Offering Memorandum for properties over $200 million for high net worth client

Compute, record and proofread data, records and surveys in Excel for volunteer events Manage the social media postings of upcoming service programs on all outlets, including Instagram, Facebook,and Snapchat Planned and executed three service trips each semester that each host over 40 participants

Facilitate group discussions focusing on issues that new students and parents face during the transition to college.Collaborated, and worked on a team of # Orientation Leaders to develop ice breakers and other activities to assist new students with their transition to the University.

Strategic Marketing Intern - Observed historical data through ETERM system of 67 flight routes over 6 years to estimate 2018 Winter-Spring Season’s passenger flow trend and scheduling.- Discussed an improvement plan for pricing strategy and profit optimization with senior stuffs at Hainan Airlines’ revenue management center.- Conceived HNA Group's 15 subsidiary airlines' target segment and market positioning goal with mentors at Hainan Airlines’ flight network management center.- Prepared and optimized upcoming season's executive plan for Hainan Airline’s SKYTRAX FIVE STAR AIRLINES Award evaluation.