Prasanth Peddaayyavarla
Summary
Outcome-oriented analytics leader with a proven track record of implementing data-driven initiatives and building high-performing teams. Instrumental in shaping strategic visions for short and medium-term goals, aligning data science efforts with broader business objectives. Adept at fostering collaboration between diverse stakeholders, leading the development of advanced healthcare solutions through machine learning and data analytics. Proficient in establishing robust machine learning deployment infrastructure, deploying diverse models, and contributing to business development through crafting proposals for effective bidding. A hands-on leader, known for leveraging cutting-edge technologies and cultivating an environment of continuous learning. Expertise includes talent acquisition, data governance, compliance, and technology leadership.
Overview
18
18
years of professional experience
1
1
Certification
Work History
Associate Director of Business Intelligence
NHS Derby and Derbyshire Integrated Care Board
10.2024 - Current
- Strategic Leadership & Team Development :
Conducted a comprehensive skills audit using a maturity matrix to assess capabilities across the BI team. Designed and implemented targeted development plans to advance the team toward full analytics maturity, working closely with senior analysts to provide coaching and mentoring. - Knowledge Sharing Culture :
Introduced weekly “Insights Sessions” to promote peer learning, collaboration, and the sharing of analytical innovations and project experiences, strengthening internal capability and fostering a culture of continuous improvement. - Project Board & Advanced Analytics Delivery :
Established a BI Project Board to drive delivery of long-term analytical initiatives aligned with team development goals. Over 20 projects have been initiated or delivered, encompassing:
Health inequalities reporting
Impact evaluation of interventions
Forecasting and predictive modelling
Process mining
Demand and capacity planning
Automation of high-volume repetitive tasks
Proactive self-service tools and strategic dashboards to reduce operational dependencies on analysts - Information Governance & Primary Care Data Access :
Championed efforts to resolve long-standing data access challenges by securing executive backing for a formal Data Sharing Agreement (DSA) with primary care. Initiated and led governance discussions, resulting in the formation of a dedicated board to expedite DSA approvals.
Acted as Information Asset Owner, ensuring data assets are maintained with high quality, accuracy, and full compliance with IG requirements. - Federated Data Platform (FDP) Implementation :
Leading the implementation of the Population Health Management (PHM) instance of the Federated Data Platform as part of an early adopter site. - Coordinating with NHS England and local stakeholders to align strategic, technical, and operational components of the rollout
- Reporting progress to the Digital Board and FBP Oversight Group to ensure strong governance and executive oversight
- Actively addressing challenges around technical architecture, data integration, and analytics team readiness to ensure the platform delivers long-term analytical value once fully deployed
- Team Wellbeing & Support :
Initiated weekly wellbeing sessions to foster team cohesion, psychological safety, and mutual support. These informal sessions offer a non-work space to decompress, reflect, and strengthen interpersonal connections.
Head Of Data Science
NHS Arden And GEM CSU
02.2021 - 10.2024
- As the Head of Data Science, I have played a pivotal role in shaping and advancing the organisation's data-driven initiatives. Here is a detailed description of my accomplishments and responsibilities in this role :
- Strategic Vision : I played a key role in helping the organisation formulate short and medium-term strategies for our Data Science offering, aligning our data-driven initiatives with broader business objectives.
- Building a High-Performing Team : I successfully established a robust Data Science team from the ground up, fostering a talented group of professionals who have collectively contributed to turning our Data Science vision into a tangible reality by delivering over 10 Machine learning projects.
- Collaboration: I facilitated and configured collaboration among data scientists, healthcare professionals, and other stakeholders within the organisation. Technical collaboration archived through Azure Devops, GitHub, mlflow and CI/CD. Cross-functional collaboration achieved through Lunch and Learns. Finally, collaboration with stakeholders is achieved through constant dialogue.
- Advanced Healthcare Solutions: Led the team in developing critical case-finding tools for Diabetes, COPD, Social Prescribing, and Hypertension (WIP). The diabetes tool we developed is one of the finalists for HSJ Digital Award for Generating Impact Through Population Health. These tools harness clinical input, linked datasets, Machine Learning algorithms, and near real-time dashboards to help clinicians make better-informed decisions. I oversaw the end-to-end pipeline, provided hands-on leadership, and later developed RAPs (Reproducible Analytical Pipelines) on Databricks to extend the tools to other conditions.
- ML Deployment Infrastructure: Collaborated with Azure architects to establish robust Machine Learning infrastructure, setting the stage for efficient model deployment. We leveraged technologies like MS Azure, Databricks, and MLOps (Mlflow) allowing the team to follow best practices while independently deploying models.
- Diverse Model Deployment: I stay at the forefront of data science innovations and technologies. This involves exploring cutting-edge tools, machine learning algorithms, and artificial intelligence to continually enhance our ML capabilities. I oversaw the development and deployment of various models for Classification, Forecasting, Natural Language Processing (NLP) , Process Mining, and Discrete Event Simulation.
- By leveraging technologies like Databricks, Azure, and Arden and GEM's Business Intelligence platform, we successfully tested proof of concept for a revolutionary platform to automate a self-help healthcare evaluation system to be used by clinical and health care professionals.
- Business Development : Actively participated in responding to bids and crafting proposals, contributing to business growth. Worked with business development leads to introduce a comprehensive costing mechanism for our R&D products. Represented AGEM in various conferences and presented our work to enhance the visibility and credibility of our Data Science team.
- Talent Acquisition: I invest in the professional growth of our team, nurturing talent and fostering a culture of continuous learning. Steered the recruitment of various roles, including junior and lead data scientists, project managers, data engineers, analysts, and visualisation developers, ensuring the team remains diverse, skilled, and well-rounded.
- Ensured data governance adherence, resulting in zero data privacy breaches and maintaining the highest ethical standards. Safeguarded patient information and complied with regulatory requirements.
Instructor
ELVTR
01.2024 - 07.2024
- Teaching 30 live students various statistical concepts such as t-tests, ANOVA, correlations and regressions applied to healthcare-specific data. The course lasts 6 weeks including 12 lessons, assignments and workshops.
Data Scientist, Senior Data Scientist
Cerner Corporation
09.2018 - 02.2021
- As an early Data Scientist at Cerner UK, I was part of the team to devise the Data Science strategy in collaboration with executive management.
- Developed and deployed end to end Machine Learning models to deliver risk stratification models for Atrial Fibrillation, Flu and COVID.
- Established Data Science and data engineering teams, emphasising AI ethics and diversity.
- Actively contributed ideas addressing AI ethics, including data privacy and fairness.
Insights Manager
Camden CCG
09.2013 - 09.2018
- Conceptualized, designed and developed Population Health Management Tool using cluster analysis (using R). This tool is used in Camden CCG for understanding it's population segments and to tailor their services. It received commendations both internally and externally and formed the basis for the publication (Toward Accountable Care: Achieving Value and Integration via Population Health Management https://catalyst.nejm.org/population-health-management-tool-accountable-care/ ) by caz sayer et. al
Senior Information Analyst
Nhs North Central London
01.2012 - 08.2013
Information Analyst
Cambridge University Hospitals NHS Foundation Trust
04.2008 - 12.2011
Information Analyst
Nhs Information Services Division
11.2007 - 04.2008
Education
Master's degree - Operational Research
University of Strathclyde
11.2007
MSc - Manufacturing Systems Engineering
University of Hertfordshire
10.2003
BEng - Industrial Engineering and Management
Bangalore University
12.1999
Skills
- Leadership & Strategy
- Strategic Vision & Delivery
- Senior Management Engagement
- Stakeholder Management
- Team Leadership & Capability Building
- Talent Acquisition & Mentoring
- Cross-Functional Collaboration
- Teamwork & Wellbeing Initiatives
- Project & Portfolio Management
- Regulatory Compliance (IG, DSA)
- Advanced Analytics & Modelling
- Predictive Modelling & Risk Stratification
- Forecasting
- Impact Evaluation & Health Inequalities
- Discrete Event Simulation & System Dynamics
- Demand & Capacity Modelling
- Process Mining
- Machine Learning Algorithms
- MLOps(Model Deployment & Monitoring)
- Data Engineering & Platforms
- Data Engineering (ETL, Automation)
- PySpark& SQL Development
- GitHub (Version Control & Collaboration)
- Microsoft Azure (Cloud Analytics & Services)
- Azure Machine Learning
- Databricks (Spark-based Analytics)
- Federated Data Platform (FDP – Palantir Foundry)
- Visualisation & Self-Service
- Power BI (Dashboarding & Self-Service Analytics)
- Tableau (Interactive Reporting)
- Development of Proactive Analytical Tools
- Governance & Data Management
- Information Governance Leadership
- Data Sharing Agreements (DSA)
- Information Asset Ownership
- Data Quality & Stewardship
- NHS Data Sources: Primary, Secondary, PHM Datasets
Certification
- Introduction to Big Data
- 2018-03 - Present Coursera
- Structuring Machine Learning Projects
- 2018-01 - Present Coursera
- Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
- Neural Networks and Deep Learning
- 2017-12 - Present Coursera
- Machine Learning
- 2017-09 - Present Stanford University
Awards
- Finalists (outcome to be announced on 6th June 2024) of HSJ Digital award for Generating Impact in Population Health through digital (2024-06 https://digitalawards.hsj.co.uk/shortlist-2024)
Publications
- Https://healthcareleadernews.com/insight-and-analysis/using-data-to-drive-better-diabetes-care-in-bedfordshire-luton-and-milton-keynes/
- Https://healthcareleadernews.com/insight-and-analysis/case-studies/population-health-management-in-action/
- A population approach to value-based healthcare - Camden CCG (hfma.org.uk)
- Cardiac surgery improves survival in advanced left ventricular dysfunction: multivariate analysis of a consecutive series of 4491 patients over an 18-year period (2016-05 European Journal Cardio-Thoracic Surgery)
- Use of Intravascular Micro-Axial Left Ventricular Assist Devices as a Bridging Strategy for Cardiogenic Shock (The journal of heart and lung transplantation)
Timeline
Associate Director of Business Intelligence
NHS Derby and Derbyshire Integrated Care Board
10.2024 - Current
Instructor
ELVTR
01.2024 - 07.2024
Head Of Data Science
NHS Arden And GEM CSU
02.2021 - 10.2024
Data Scientist, Senior Data Scientist
Cerner Corporation
09.2018 - 02.2021
Insights Manager
Camden CCG
09.2013 - 09.2018
Senior Information Analyst
Nhs North Central London
01.2012 - 08.2013
Information Analyst
Cambridge University Hospitals NHS Foundation Trust
04.2008 - 12.2011
Information Analyst
Nhs Information Services Division
11.2007 - 04.2008
MSc - Manufacturing Systems Engineering
University of Hertfordshire
BEng - Industrial Engineering and Management
Bangalore University
Master's degree - Operational Research
University of Strathclyde
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