Lemar P. Email & Phone Number

• Business Unit: IR Sensing & Spectroscopy
• Technical lead for all Data Science topics in North America, working directly with the Regional Business Development and Global Data Science teams to provide expertise on regional projects with strategic partners and.
• Led cross business-unit project with BASF Vegetables & Seeds on accurate detection of ripeness in melons using spectral data. Performed on-site experimental data acquisition, processed and analyzed over 5,000 spectral.
• Involved in early R&D and customer pilot trials for new strategic product development. Processed partner data to provide insights towards the development of predictive models. Introduced advanced data visualizations.

• Team: AI Solutions for Sales & Marketing
• Developed a scalable data pipeline to efficiently ingest and process text files, leveraging ChatGPT and Retrieval Augmented Generation (RAG) techniques to accurately extract sustainability-related information using.
• Conducted a comprehensive analysis and evaluation of 50+ natural language queries (prompts) to identify information gaps and potential areas of improvement. Conducted prompt engineering by rewriting all prompts to be.
• Facilitated bi-weekly meetings with stakeholders to demonstrate the data pipeline's functionality and present a PowerBI Dashboard for visualizing the extracted information. Actively solicited user feedback and.

• Team: Sales and Marketing Team for Agricultural Products
• Delivered a patent-pending optimization algorithm that allocates next season's product supply to customers based on historical sales data while ensuring fairness and adherence to supply constraints, thus automating a.
• Contributed to the Sales Growth Insights Team to develop a Retailer Share of Wallet dashboard that estimates the percentage of customers' purchases that belong to BASF and identifies areas of opportunity for the sales.
• Developed an advanced forecasting model for BASF's Crop Protection Business, enabling demand predictions for key brands and facilitating seamless alignment between supply chain planning, financial goals, and risk.

• Team: Production AI
• Deployed web dashboard (Python, Dash, PostgreSQL) to monitor plant performance at several manufacturing sites.
• Utilized process data to predict the chemical output of a manufacturing process, thus eliminating the need to take lab samples and increasing batch throughput by 100%.
• Continued work as a part-time contractor (October 2021 - January 2022) to improve upon existing Python tool by adding multi-threading support to query manufacturing data 90% faster.

• Developed a scalable data pipeline (Python, Jupyter Notebooks, AWS) to process terabytes of satellite imagery for NASA's SERVIR initiative, enabling a seamless and comprehensive visualization of the Pucallpa region in.
• Leveraged satellite imagery analysis to map both large and small palm oil plantations, empowering scientists and local governments to monitor and restrict the expansion of illegal plantations, thereby contributing to.
• Led a four-person team within the Deep GIS Research Group, managing user stories, code reviews, meetings, and stakeholder communication to ensure efficient collaboration and timely deliverables.

Master Of Science - Ms, Computer Science

Bachelor Of Science - Bs, Computer Science