Shashank Goel Email & Phone Number

India

Boston, Massachusetts, United States

Leading development and execution of AI/ML initiatives aimed at transforming clinical research processes, from patient recruitment and trial design to data mapping, data review and insights generation.Focused on driving performance and innovation of SaaS platform, by successfully improving data loading times, launched new LLM models and supported over 30+ use cases with rule-based modeling techniques. Uplifted current ML models, allowing to predict more effectively across broader areas of clinical trial processes, supporting multiple matrices of concomitant medication data. Supported development for improving model accuracy and data auto-coding using Generative AI, pushing the capabilities of platform and achieving competitive advantage in the industry domain.

Boston, Massachusetts, United States

Partnered with stakeholders and data science team for releasing more than 12+ new features by analyzing customer needs and improved onboarding process for new clients and prospects. Leveraged customer feedback to identify areas of improvement, ensuring user-centricity and customer satisfaction. Launched new machine learning (ML) models, supported UI/UX improvements for AI/ML initiatives, and significantly boosted performance of various large language models (LLMs) and predictive analytics models.

Chicago, Illinois, United States

Successfully launched AWS-based SaaS platform to managed 30+ million monthly health insurance premium transactions. Reduced application support costs by over 30% by implementing external API integrations and securing confidential data and employee financial history. This achievement exceeded client expectations, strengthening client relationships and opening new business opportunities, solidifying position as a trusted partner in the cloud technology space.

Boston, Massachusetts, United States

Led commercial line of business, from gathering requirements to delivery for healthcare solutions, driving over 90% of project planning, collaborating with stakeholders to outline project strategy, successfully positioning release date to a month in advance.

Boston, Massachusetts, United States

• Achieved more than 90% measure accuracy for speech and natural processing in Alexa 3P devices. Curating data anomalies on customer data to train machine learning models and improve GSR statistics.• Supported test planning, design, and execution to assure data entity recognition in compliance with Amazon global standards and effectively process customer and associate behavior by improving process automation and grow data literacy.

Hyderabad Area, India

Master'S Degree, Informatics (Data Analytics)

Experiential Projects: • The EnergyScore: Optimized Random Forest algorithm model performance by 4% by calibrating probabilities.

Bachelor'S Degree, Computer Science And Engineering

Bachelor of Technology (B.Tech) - Computer Science and Engineering