Han L.

Key Skills

Software

Don't disclose

Top Subject Matter

Business Operations

Customer support analytics

Management consulting

Top Data Types

Text

Image

Top Task Types

Emotion Recognition

Routing

Classification

Freelancer Overview

Ex-McKinsey Consultant and Robinhood — Business Operations Manager & Head of New Verticals: ML/NLP sentiment analysis on 100,000s of support intera. Brings 13+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Don't disclose. Education includes Bachelor of Arts, Stanford University (2016) and N/A, Mercersburg Academy. AI-training focus includes data types such as Text, Computer Code, and Programming and labeling workflows including Emotion Recognition, Routing, and Classification.

Labeling Experience

Careforce — CEO & Founder: AI-powered financial OS for payer/claims denial prevention and effectiveness modeling

Don't discloseClassification

Leveraged predictive analytics to analyze payer data and flag preventable claims denials before submission. Implemented RPA and AI-driven workflows to automate components of the claims appeal process. Created a machine-learning data model correlating clinical outcome data with reimbursement requests to quantify practitioner effectiveness. • Predictive claims denial detection • Workflow automation for claims appeals • ML correlation between clinical outcomes and reimbursement requests • Operational improvements in reimbursements and practitioner scoring

2022 - 2024

Robinhood — Business Operations Manager & Head of New Verticals: ML/NLP sentiment analysis on 100,000s of support interactions and churn modeling

Don't discloseTextEmotion Recognition

Analyzed large volumes of customer support interactions using machine learning and NLP to identify drivers of dissatisfaction. Built predictive churn models based on these insights to improve customer experience outcomes. This work involved transforming raw support text into structured signals for model training and downstream decisioning. • Use of sentiment/NLP feature extraction • Training predictive churn models from interaction data • Defining KPI improvements for routing and resolution • Informing AI-driven automation workflows

2021 - 2022

Meraz — CEO & Founder: AI-driven logistics optimization platform development

Don't discloseRouting

Built an AI-driven logistics platform (“Octopus”) to optimize last-mile delivery decisions using dynamic algorithms and predictive models. Engineered routing logic that allocated shipments based on traffic, weather, and multi-carrier API inputs for efficient delivery paths. This required creating labeled/structured training and evaluation signals for predictive optimization components. • Real-time predictive modeling inputs (traffic/weather/carrier APIs) • Dynamic allocation/routing optimization logic • Integration of logistics optimization with GTM product execution • Patent-protected AI logistics engine development

2018 - 2020

Education

Work History