Utilize foundation models to apply GEN AI for product recommendation, supporting the sales team in achieving successful callsDesigned a client email categorization system using Hugging Face's Transformers and PyTorch for automated analysis of client communicationsUtilized BERT for email sentiment analysis to classify and predict response ratesFacilitated email creation for digital sellers by developing a deep learning model for generating optimal templatesImplemented data wrangling and aggregation on complex datasets, transforming raw data into actionable insights for business strategy developmentManaged and addressed stakeholder requirements effectively by maintaining regular communication and ensuring efficient value deliveryContributed to the identification and definition of KPIs to gauge the effectiveness and impact of the email optimization project on business outcomes

Created a comprehensive online course for the IBM Data Science Capstone on coursera and held live sessions on Python, data analysis, and machine learningMentored a cohort of 500 aspiring applied data science students, providing guidance and support throughout their learning journeyMentored learners by offering customized learning path and interview preparationDemonstrated machine learning model development in IBM Watson Studio and Auto AI Engaged and grew an active online community, adeptly managed multiple platforms, and leveraged analytics for data-driven content strategies and client reporting

Provided visionary leadership, setting the strategic direction for the company's AI solutions focused on optimizing buildings energy conservationDeveloped and implemented marketing and sales strategies to generate leadsDeveloped and executed comprehensive talent acquisition strategies, conducted structured interviews and assessments, and managed a high-performing talent team

Managed project budgets rigorously, achieving cost and energy savings and optimizing resource allocationDeveloped comprehensive project plans, reports, and documentation, ensuring project milestones and outcomes were well-documented

Built and led a diverse team of Ph.D. students, field engineers, and AI specialists, fostering innovation and collaborationDesigned, developed, and launched innovative AI solutions for predicting building energy consumptionManaged data gathering processes to ensure accurate data collection