Jiale Cheng

Senior Data Scientist

CoverWallet an Aon company

Oct 2025 - Current (10 months)

• Developing advanced Generative AI solutions using LangChain, LangGraph, and Gemini/OpenAI SDKs for email classification, bug triage, and automated document field extraction. • Utilizing LangSmith and DataDog for monitoring, debugging, and optimizing LLM performance and reliability in production. • Implementing classical ML and NLP projects, including keyword extraction from emails and agent productivity tools to predict hours dedicated to specific accounts. • Streamlining insurance operations through automated data processing and intelligent categorization of unstructured communications.

Senior Data Scientist

Aon

Oct 2025 - Current (10 months)

AI Engineer & Applied ML Lead | End-to-End ML Systems | Data & Automation

Freelancer

Sep 2025 - Current (11 months)

I design and build production-grade AI systems end-to-end, from data modeling and experimentation to scalable deployment and monitoring. I don’t just train models, I build AI systems that ship, scale, and generate real business impact. My background combines: • Machine Learning & Deep Learning • LLM-based systems and automation • MLOps & production infrastructure • Data engineering & scalable pipelines I have worked across banking and insurance industries, delivering AI solutions that move beyond notebooks into production environments with measurable results. Currently focused on: • Applied ML and LLM systems • Building scalable AI-powered SaaS solutions • Production MLOps pipelines (CI/CD for ML, monitoring, retraining) • Automation an

AI Teacher

Ironhack

Sep 2025 - Feb 2026 (6 months)

Data Scientist

Thetaray

Sep 2023 - Oct 2025 (2 years 2 months)

I worked in the customer success department as a data scientist helping in the creation of unsupervised predictive models for the detection of financial crimes such as money laundering, human trafficking, terrorism financing, etc. Key Responsibilities: - Spearhead the development of unsupervised predictive models aimed at detecting financial crimes such as money laundering, human trafficking, and terrorism financing, enhancing the organization's capabilities in ensuring compliance and security. - Lead a pivotal project for the implementation of financial crime detection solutions at a major Spanish bank across multiple geographies, focusing on adapting to diverse regulatory requirements. - Conduct comprehensive risk scenario evaluations p

Lead Data Scientist

Santander

Sep 2023 - Oct 2025 (2 years 2 months)

Data Scientist

Insud Pharma

Sep 2022 - Sep 2023 (1 year 1 month)

Key Responsibilities: - Designed and implemented databases by utilizing web scraping techniques to gather data from various online sources and PDF documents, using tools such as Selenium, BeautifulSoup, PDFPlumber, and Tabular. - Developed and maintained web applications for internal use across the company, facilitating analysis on diverse topics such as sales by country/product, tracking price evolution through KPIs, and conducting intelligent analysis of new business opportunities. - Led the creation of market intelligence tools at the corporate level, integrating functionalities for opportunity analysis, price tracking, market competition, and product patent expiration to support strategic decision-making. Technological Proficiency: -

Junior Data Scientist

Management Solutions

Sep 2021 - Sep 2022 (1 year 1 month)

Key Responsibilities: - Analyzed, developed, and implemented methodologies for measuring financed emissions and climate-related risks, supporting the institution's commitment to environmental impact assessment and regulatory compliance. - Actively participated in the 2022 ECB climate stress test exercise, involving in-depth analysis, reporting, and projections of regulatory parameters such as Probability of Default (PD), Loss Given Default (LGD), and Exposure at Default (EAD). - Contributed to the validation processes for the implementation of IFRS9, ensuring accurate and compliant financial reporting. Technical Expertise: - Programmed and maintained sophisticated codes for data formatting, analysis, and the implementation of benchmark m

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