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zwjjoy User

@zwjjoyuser

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Led software engineering and data science teams, top 1% at DiDi, fast promotion at Deloitte.

Australia

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What I'm looking for

Seeking a challenging role that leverages my technical expertise and leadership skills to drive business growth and innovation.

As a seasoned data science and engineering leader, I have a proven track record of driving high-impact projects and scaling SaaS platforms from 50K to 5M users in ANZ. With a strong background in leveraging AI/ML to enhance marketplace efficiency and drive user growth, I have consistently demonstrated exceptional problem-solving skills, ranking in the top 5% globally on LeetCode.

Throughout my career, I have led the implementation, deployment, and management of AI/ML solutions and SaaS products, resulting in significant improvements in SLA, user experience, and product roadmap. My expertise in full-stack development, AI solutions leadership, and API endpoint development has enabled me to drive innovation and growth in various industries.

With a strong educational background in data science and commerce, I possess a unique blend of technical and business acumen, allowing me to effectively communicate and collaborate with cross-functional teams to drive business outcomes.

Experience

Work history, roles, and key accomplishments

Current

Data Science & Engineering Manager

Current

Deloitte

Jan 2023 - Present (2 years 5 months)

Led the implementation, deployment, and management of AI/ML solutions and SaaS products, resulting in a 90% improvement in SLA and a 30% increase in user adoption.

AI ML SaaS Products Python Redis

Senior Data Scientist

Deloitte

Jul 2022 - Jan 2023 (6 months)

Led the creation and launch of an LLM-enabled NLP solution for industrial account matching, deployed via API endpoint, reducing response times from 20 minutes to real-time and enhancing match precision.

React Python DBT PostgreSQL

User Growth Lead

DiDiMobility

Apr 2020 - Jul 2022 (2 years 3 months)

Developed effective toolsets and machine learning pipelines for customer engagement offers, uplifting 30 basis points in ROI and saving 5 million AUD per year.

Machine Learning