Rosha Pokharel, Ph.D. Email & Phone Number

After over a decade of experience in AI/ML/Data Science space developing and deploying AI solutions, building and leading teams and departments to do so at enterprise scale and growing talents to achieve rapid AI product delivery across healthcare, aviation, and utilities industry, I strongly believe that THIS is THE right time to kick this off. And so, I have founded SolvDat with the vision to help various companies maximize the value of their data and drive transformative change through AI. My passion lies in demystifying AI and showing businesses how the right data-driven strategy can turn their challenges into opportunities to achieve value from the get-go! At SolvDat, we guide businesses through every step of the AI journey—from crafting a custom strategy to hands-on implementation. Whether you’re looking to optimize operations, boost efficiency, or leverage predictive insights, our tailored solutions will be designed to meet your unique needs, all focused on rapid value delivery. POCs are simple, thanks to advanced AI and cheaper computational capacity available today. What is hard is realizing the value out of it through catered process of adoption, operationalization and post production success. Our unique experience of having walked through this several times across various enterprises sets us apart and provides the promise of value with AI!My vision for SolvDat is to empower companies to accelerate growth with AI and data driven innovation. We help businesses harness their data to make smarter, data-driven decisions that can transform their future. I’m excited to collaborate with industry leaders and organizations ready to embark on their AI transformation. Let's discuss how SolvDat can help your company achieve its next AI breakthrough.

Phoenix, Arizona, Us

- Spearheaded the delivery of an LLM based AI solution to automate a big portion of $100M business in the healthcare space with AI/ML to deliver >$10 million in savings for 2024.- Introduced a comprehensive AI/ML Discovery Framework, to reduce uncertainty in AI solution delivery. Through this framework, delivered AI solution to automate QA for a healthcare specific provider document, achieving 60% automation with 95% accuracy, with quick turn around time.- Partnered with cross-functional teams, including legal and compliance, to develop AI and data governance frameworks and ensure data-driven decision-making across all business units.

Saint Louis, Mo, Us

• Spearheaded Innovative AI/ML Solutions from design to delivery of: - Centene's inaugural Intelligent Document Processing System, resulting in automation of 2 different types of complex healthcare documents, processing 2000 documents daily in real-time saving 90% processing time and driving accuracy of 99.9% - Automation of quality audit process using logistic regression model to drive higher error catch rate, with the potential to save >$50M spent in rework and penalties. - Prediction of provider grievance using ML model for proactive resolution, saving significant loss in penalties and improving customer experience. • Led a department of over 40 contributors, organizing them into 7 delivery teams across 3 functional verticals: AI engagement, Data Science, and MLOps/Cloud Engineering to support delivery of AI/ML driven solutions.• Led successful AI discovery and engagement framework, partnering with various business leaders to proactively identify AI use cases and delivering POCs with quick turn around time.• Launched an Enterprise AI learning series, virtually engaging over 600 participants to promote AI awareness and understanding.• Played a key role in establishing the enterprise AI Center of Excellence (COE) to support governance in close collaboration with enterprise leaders.• Acted as an AI/ML thought leader, collaborating with other leaders to shape the AI strategy, intake process, and AI governance framework.• Managed vendor relations and partnerships with multiple consulting firms to support AI initiatives.• Provided mentorship and coaching to individuals from diverse backgrounds, fostering their career growth in AI/ML.

Saint Louis, Mo, Us

• Delivered Centene’s first AI solution to automate paper health care document intake resulting from new price transparency act, using AWS Textract and in-house NLP and machine learning solutions.• Delivered random forest based solution for identification of correct provider for every incoming claim and reduced 97% of analyst time through automation. • Spearheaded MLOps framework capable of : returning real-time response from machine learning models for millions of incoming claims, using AWS Sagemaker and Lambdas, API and model monitoring and speeding up model training process to optimize model speed to market.•Built and scaled a new AI/ML program from a single contributor to a 40-member team in less than two years, driving growth and maturity of AI, ML, MLOps, data science practices by setting clear strategic goals for valuable AI initiatives, and aligning cross-functional teams to deliver high-impact results.• Designed and executed a comprehensive AI vision, strategy, and goals, facilitating alignment among multiple AI teams and senior leadership, ultimately driving a modern enterprise AI vision.• Initiated AI innovation lab following successful AI discovery framework to proactively identify and champion viable and valuable AI solutions for important business problems.• Provided mentorship and coaching to individuals from diverse backgrounds, aiding in their career development plans within AI/ML.

Saint Louis, Mo, Us

Designed and delivered enterprise-level machine learning solution to select right provider for every incoming claim using random forest classifier to optimize data latency.Mentored software and data engineers to grow their talent as MLOps engineers while coaching them on operationalization of streaming models.Contributed on identifying valuable AI applications in healthcare data, while building AI/ML/analytics solutions as well as practice.

Armonk, New York, Ny, Us

Led data science team in developing real-time outage prediction products for utility companies globally(Canada, Italy, Japan, Brazil), by designing, training, and operationalizing ensemble machine learning models, driving business value through data insights and tailored client solutions.Mentored junior data scientists and worked closely with MLOps engineers to ensure right deployment machine learning model for realtime response.Collaborated with software engineers and Ux/UI designers to ensure successful client delivery.Support product owner and sales team with client engagement to address model performance, and build confidence on the product while also supporting the expansion of product across multiple clients.

Armonk, New York, Ny, Us

Developed IBM Watson aviation analytics solution to convert text data(NOTAM) into actionable insights using IBM AQL and Watson Studio to showcase exciting capabilities of NLP, that could save several minutes for pilots to help in decisioning.Developed random forest model for real-time prediction of airport runway configurations and taxi-time prediction across 40 US Airports, using scala for distributed computing of large data, MlLib and Java to support operationalization.

Brookhaven, Georgia, Us

Developed load power forecasting neural network models to power a real-time load forecasting application using weather data. This solution forecasted load power for multiple ISO regions across US and delivered predictions for 15 days out to power utility trading platforms.

Gainesville, Florida, Us

Research at the Computational Neuro-Engineering Lab, specializing in the analysis of biological data. Innovated and published real-time supervised machine learning algorithms using Kernel Methods for classification and regression, resulting in published research papers.

Gainesville, Florida, Us

Assisted Dr. Fred J. Taylor by grading papers and teaching a tutorial class of 60 students every week in 2010 Fall and 2011 Spring for an undergraduate course, Electronic Circuits-II

Doctor Of Philosophy (Ph.D.), Electrical And Computer Engineering

Masters Of Science, Electrical And Computer Engineering

Bachelor Of Engineering (Be), Electrical And Electronics Engineering With Specialization In Communications

Doctor Of Philosophy - Phd, Machine Learning