- Provide strategic direction for integrating machine learning solutions across business functions to drive operational efficiency and innovation.- Advise on product development and scaling strategies, leveraging AI and ML to optimize processes and deliver personalized experiences.- Mentor team on best practices for building, evaluating, and deploying machine learning models, ensuring high-performance outcomes.

- Advising on research methodologies for discovery of data quality issues in AI systems - Mentoring and coaching for data science and engineering- Advising on strategic startup decisions

Advising on data product building, deployment and integration with customer facing products Working with team on talent acquisition strategy and tactics. Help recruit new talent to the team. Advised on technology stack and data platform architecture serving multiple internal teams

- Advising on Data Science positioning as a core enabler to the business- Mentoring data science and science individuals - Advising on Data Science projects tactical and strategy - Advising on maturing Analytics capabilities - Mentoring on data and MLOps infrastructure to enable data science products

Making meetings more engaging and effective using behavioral data and a scientific led approach.Lead development of SaaS based product to improve team's communication skills through coaching and evidence based feedback.

Helping Gembo establish, build and deploy their machine learnings capabilities using machine based sensor data.

Advising leadership and ML team on roadmap, modeling tactics and data strategy to enable sensi.ai audio-based solution to detect increased risk of maltreatment of vulnerable, helpless individuals relying on caregivers.

Working on projects that make me happy including family, statistics and hiking. Taking time to regroup, recharge and figure out what is next.

Wellio is your partner for eating well using the latest machine learning algorithms to provide evidence based personalized food and diet recommendations. Given your taste preferences and diet needs we can adapt and recommend recipes that will fit your lifestyle using state-of-the-art deep learning modelsPeople lead responsibilities- Led and grew the Data Science and Data engineering team in charge of developing the food intelligence platform. The platform includes deep learning based structuring and augmentation data pipeline along with recommendation systems for recipe generations and personalized shopping lists .- Helped mentor team members on growing their career and skills- Created career paths for data engineers and data scientist on the team- Designed and led workshops for broad leadership team to help improve team dynamic and leadership skillsResponsibilities as a technical leader for the platform:- Led the food intelligence platform product vision and roadmap by collaborating with product/design/data science and data engineering. - Helped to prioritize and balance between impact/time to production/risk of data products based on machine learning models.- Led development of the platform as a service strategy and technical implementation plan.- Helped to create prototype data products to help clarify capabilities to internal and external stakeholders. - I designed , built and maintained along with my team our NLP and computer vision based recommendation system to develop semantic culinary and nutrition understanding of food.Technical Leader for analytics- Designed and built the product analytics capabilities across our web and mobile apps allowing for better understanding of our customers. Led the development of both infrastructure and processes to enable evidence based decision making in the company by enabling customer behavior reporting, experiments and combining traditional qualitative user research with quantitative studies.

-Developed the next generation recommendation systems based on observational studies and causal inference. -Provided help and guidance to the development of a novel spatio-temporal storage system for agriculture by working closely with the engineering team.-Help train Data Science leaders on best practices related to establishing Data Science teams.-Helped create a Data Science strategic framework for different units across the company. Worked closely with both executive and leadership teams across the organization to communicate the framework and its implementation.-Mentored Data Scientists across the organization on both technical and professional development. Establish a women Data Science meetup to provide more targeted mentoring network.

-Created training programs for Data Scientists which included organizing targeted workshops and seminars.- Help establish and demonstrate Data Analytics capabilities by showcasing potential projects and prototypes. Worked closely with the Data engineering group and business stakeholders.-Helped identify and prototype solutions for cross organization Data Science innovation projects-Created research programs to support experimental designs and analysis of field experiments.

- Lead over 20 data scientists across multiple data science teams including the weather science and geospatial team within Climate.- Technically mentored data scientists ensuring they develop data products and analyses that support, accelerate and enable Climate core technology. -Defined and translated strategic and operational business goals into Data Science roadmaps while working closely with engineers and product managers. - Communicated Data Science results and progress to junior and senior members of the organization including executive team.- Mentored and provided guidance on career development for senior and junior data scientists.-Help define the Data Science career paths in the organization. Encouraged members of the team to actively participate in workshops and conferences to continue career development.-Defined and help placed Data Science project development and deployment best practices across the organization. I encourage team members to participate in workshops, conferences and courses to improve their technical skills and make sure they are always developing as researchers.

- Develop novel methodologies to predict crop yield. Introduced and developed novel Bayesian spatio temporal models.- Lead product development working with PM and software engineers to deploy and ensure on time delivery. - Write research papers to articulate clearly the research results and future idea. Communicate to executive, technical and non-technical audiences the data product including limitations and advantages. - Developed machine learning algorithms for a variety of agriculture related research problems .- Mentored and provided guidance to both junior and senior researchers on their projects. - Help define the recruiting and onboarding processes for new data scientists.

Three pieces dissertation:1. Forecasting Multivariate spatial low counts Poisson AR time series using nonparametric Bayesian methods2. Forecasting high counts Poisson univariate time series using Bayesian analysis with application to call centers3. A new graphical based test for quantile plots

*Instructing officers and commanders on sophisticated simulators.*Instructing and mentoring new instructors.