Senior Machine Learning Engineer

• Jan 2023 - Present

• Led the deployment of machine learning models capable of taking human body scans and predicting a user’s clothing size based on 3D imaging technology, improving size prediction accuracy to over 80% and increasing company revenue to over $1M ARR (Python, MATLAB, Numpy, Pandas, SKLearn, AWS Sagemaker). • Developed a custom Language Learning Model (LLM) chatbot integrated with the ChatGPT API and trained it on customer data, including preferences, shopping history, and feedback, to provide… Show more • Led the deployment of machine learning models capable of taking human body scans and predicting a user’s clothing size based on 3D imaging technology, improving size prediction accuracy to over 80% and increasing company revenue to over $1M ARR (Python, MATLAB, Numpy, Pandas, SKLearn, AWS Sagemaker). • Developed a custom Language Learning Model (LLM) chatbot integrated with the ChatGPT API and trained it on customer data, including preferences, shopping history, and feedback, to provide personalized clothing product recommendations through a chatbot interface (Python, NLP, ChatGPT API). • Developed analytics dashboard for internal and external stakeholders to view key business metrics and monitor ML models, achieving over 100 daily active users (AWS S3, AWS Lambda, Python, Angular.js, JavaScript). • Worked cross-functionally with product managers, engineers, sales, and marketing teams in an AGILE development environment to communicate data-driven results to apparel retailer clients.

Data Scientist

• Jan 2022 - Dec 2022

Data Scientist

• Jun 2021 - Dec 2021

Built machine learning models to predict the efficacy of prospective drug compounds, helping pharmaceutical companies determine the effectiveness 100+ prospective drug compounds (Python, R). • Developed scrips to automate dataset generation and quality control process, decreasing product delivery timeline from 10 days average to 3 days (Python, R). • Worked cross-functionally with product managers, engineers, and internal and external stakeholders in an AGILE development environment to… Show more Built machine learning models to predict the efficacy of prospective drug compounds, helping pharmaceutical companies determine the effectiveness 100+ prospective drug compounds (Python, R). • Developed scrips to automate dataset generation and quality control process, decreasing product delivery timeline from 10 days average to 3 days (Python, R). • Worked cross-functionally with product managers, engineers, and internal and external stakeholders in an AGILE development environment to communicate data-driven results to pharmaceutical company clients. Show less Built machine learning models to predict the efficacy of prospective drug compounds, helping pharmaceutical companies determine the effectiveness 100+ prospective drug compounds (Python, R). • Developed scrips to automate dataset generation and quality control process, decreasing product delivery timeline from 10 days average to 3 days (Python, R). • Worked cross-functionally with product managers, engineers, and internal and external stakeholders in an AGILE development environment to… Show more Built machine learning models to predict the efficacy of prospective drug compounds, helping pharmaceutical companies determine the effectiveness 100+ prospective drug compounds (Python, R). • Developed scrips to automate dataset generation and quality control process, decreasing product delivery timeline from 10 days average to 3 days (Python, R). • Worked cross-functionally with product managers, engineers, and internal and external stakeholders in an AGILE development environment to communicate data-driven results to pharmaceutical company clients. Show less