Bhumika Shah - Work Experience

With over seven years of experience in AI, data engineering, and machine learning, I have led transformative projects that have optimized data workflows, enhanced decision-making, and empowered organizations to leverage their data for impactful outcomes. My expertise spans building scalable data infrastructures, creating end-to-end AI-driven solutions, and developing predictive models that streamline business processes and drive efficiency.

I have designed and implemented automated reporting systems, transforming complex data into actionable insights for C-level executives and operational teams. I’ve also led initiatives to automate data collection and visualization, helping organizations identify opportunities and drive business growth. Additionally, I created innovative tools to accelerate data validation, saving significant time and resources.

As a professor, I mentor master's-level students in data engineering, sharing my practical knowledge and guiding the next generation of professionals to succeed in the ever-evolving field of technology. My passion for teaching and research allows me to stay at the forefront of innovation while inspiring others to push the boundaries of data science and AI.

Work Experience

Data Solution Engineer, Chubb

November2024 – Present

· Leverage strong analytical and logical skills to design and implement scalable data engineering solutions within Chubb's information ecosystem, supporting discovery, analytics, and data management.

· Define measurable objectives and key results for the data engineering chapter to drive the transformation of the data ecosystem and realize the vision of an insurance data fabric.

· Build and scale real-time data pipelines and platforms that align with business needs while promoting innovation and resilience within the data engineering organization.

· Collaborate with data scientists, architects, business partners, and analysts to gather requirements, translating business needs into effective data-driven solutions and system requirements.

· Design and build data solutions addressing complex business rules and risk data attributes such as Limits, Exposure bases, Coverages, and Rating Factors.

· Promote data governance and master/reference data management as strategic priorities, implementing strategies to monitor and enhance the effectiveness of data management initiatives.

· Evaluate emerging data technologies, assess their business impact, and mentor engineers to adopt well-architected cloud solutions and engineering best practices.

· Work extensively with relational and non-relational databases, including Azure SQL Data Warehouse, Cosmos DB, MySQL, and Oracle, to manage structured and unstructured data.

· Utilize big data tools such as Hadoop, Spark, Hive, and commercial distributions like Horton Works and DataBricks for processing and analysis of large datasets.

· Build ETL workflows using tools like Informatica and SSIS, integrating data pipelines seamlessly while documenting data capture requirements and data flow diagrams.

· Demonstrate proficiency in Python libraries like Pandas, NumPy, and scikit-learn while continuously learning new technologies to enhance data engineering capabilities.

Assistant Faculty, Post University

October2024 - Present

· Design and develop comprehensive coursework and class materials for master's level students, integrating advanced topics in Business Intelligence and Analytics to ensure alignment with industry trends and academic standards.

· Create engaging lesson plans, assignments, and assessments that challenge students to apply theoretical concepts to practical scenarios, fostering critical thinking and problem-solving skills.

· Deliver effective instruction in Business Intelligence and Analytics, aligning with Post University's learning objectives and fostering a collaborative, research-driven classroom environment.

· Mentor and guide students, providing personalized feedback and addressing challenges to promote growth, academic success, and independent research capabilities.

· Establish clear learning goals and objectives, ensuring alignment with course outcomes and fostering a productive and engaging learning environment.

· Manage classroom dynamics and address conflicts effectively while adhering to institutional policies and creating a respectful and inclusive atmosphere.

· Evaluate student performance using course rubrics, administer assessments, and provide constructive feedback to enhance learning outcomes.

· Participate actively in discussion boards, class activities, and chat sessions to maintain high student engagement and alignment with university guidelines.

· Continuously refine teaching methods, coursework, and class materials based on student feedback and evolving educational standards to uphold instructional excellence.

Data Engineer, Steward Health Care Network ( Now : Revere Medical)

June 2023- October 2024

· Engineer data pipelines and ETL processes to facilitate seamless integration and transformation of healthcare data within Azure data environment, ensuring accuracy, consistency, and timeliness of data delivery.

· Collaborated with cross-functional teams to design and implement data models and architecture for ACO analytics platforms, enabling efficient data storage, retrieval, and analysis to support strategic decision-making and improve patient outcomes.

· Implemented data governance frameworks and quality assurance processes to ensure compliance with regulatory requirements and maintain data integrity across various data sources, including electronic health records (EHR), clinical data ,claims data, and Quality and risk datasets.

· Developed and maintained scalable data infrastructure utilizing cloud-based technologies, optimizing performance and reliability while minimizing operational costs.

· Provided technical expertise and support to stakeholders across the organization, including clinicians, administrators, and data scientists, to enable data-driven insights and initiatives aimed at improving population health management, care coordination, and quality measures.

· Create and manage Qlik dashboards for Informatics departments that helps track business metrics for department.

· Established collaborative partnerships with multiple payors, negotiating data deliverables and exchange agreements tailored to the ACO's needs while ensuring compliance with regulatory standards and privacy protocols.

· Orchestrated the acquisition and integration of diverse datasets from various payors, encompassing claims data, eligibility files, and risk stratification data, essential for supporting population health management initiatives and enhancing value-based care models.

· Developed and implemented robust data governance frameworks and privacy protection measures to ensure compliance with HIPAA, HITECH, and CMS regulations, safeguarding sensitive patient information throughout the data exchange process.

· Managed the timely generation and submission of compliance files and reports to payors, demonstrating meticulous attention to detail and adherence to deadlines, while proactively addressing any discrepancies or data anomalies to maintain data accuracy and integrity.

· Served as a key liaison between the ACO and external stakeholders, including payors, vendors, and regulatory agencies, facilitating effective communication, resolving data-related inquiries, and nurturing collaborative relationships to advance interoperability and data-driven decision-making in healthcare delivery and management.

· Spearheaded the deployment and management of advanced analytics solutions leveraging Azure AI Studio, harnessing machine learning algorithms and models to derive actionable insights from healthcare data, driving operational efficiencies and clinical outcomes improvement initiatives.

· Played a key role in model training and evaluation processes, conducting experiments and tuning hyperparameters to optimize model accuracy, precision, and recall, while ensuring compliance with regulatory standards such as HIPAA and GDPR.

· Collaborated with data scientists and domain experts to identify use cases and opportunities for AI-driven solutions in areas such as predictive risk stratification, disease prediction, and personalized treatment recommendations, driving innovation and value creation within the ACO ecosystem.

· Implemented data-driven insights and recommendations into operational workflows and clinical decision support systems, empowering care teams with real-time information and actionable intelligence to improve patient outcomes and reduce healthcare costs.

· Demonstrated proficiency in Azure AI services and tools, including Azure Machine Learning, Azure Databricks, and Azure Cognitive Services, leveraging cloud-native capabilities to accelerate development and deployment of AI solutions while ensuring scalability, reliability, and security.

· Provided technical leadership and mentorship to junior team members, fostering a culture of continuous learning and innovation, and staying abreast of emerging trends and advancements in AI, machine learning, and healthcare informatics.

Business Intelligence Engineer, Amazon

June 2022- May2023

· Worked at Amazon Books org. to design and develop data solutions for business teams, that enable the organization to access and interpret data quickly and efficiently.

· Developed and deployed data pipelines to stream continuous data from different data sources and reduce data computational time.

· Used AWS resources to compute data from different Redshift clusters containing petabytes of data and used Quicksight and Tableau to visualize data and draw stories behind data for cross-functional teams.

· Developed and maintained ETL processes to extract data from different data sources and use SQL to transform data into a usable format for business stakeholders.

· Conducted weekly sprint meetings with stakeholders to allocate resources, identify high-priority problems, and set delivery timelines and milestones.

· Coordinated with stakeholders, Product managers, Program Managers, and Data Engineers across the teams to collect data and develop business metrics that aim to improve customer experience.

· Worked on financial metrics to identify revenue drivers and opportunities to increase profit margin.

· Played an active role in the development, documentation, and maintenance of data governance operations.

· Developed effective auditing and validation processes between the source systems and the centralized data warehouse to ensure the accurate and timely availability of data.

· Created a Quicksight dashboard to report the current Textbook catalog and its KPIs. The dashboard provides users with a simplified and detailed view of products and their performance indicators.

· Created an analysis that aims to dive deeper into the textbooks’ pricing model and report KPIs to the stakeholders.

· Worked with the Sourcing data to optimize the book sourcing model that strives to strategize vendor selection practices.

Participated in quality and process improvement activities, including regular reviews of systems and technology. Design and implement modifications or improvements based on those activities.

Worked on customer content acquisition data pipelines to improve efficiency and reduce monthly resource costs by 20%.

· Created an ML model with the team to automate price prediction for books using Autoguon.

· Spearheaded knowledge-sharing sessions within teams to promote a more collaborative environment among BI from different teams.

· Trained and deployed LLM models (GPT 3 and GPT4 ) to find missing features in retail listings for books.

· Spearheaded the design and implementation of optimal data flow patterns across multiple systems within the enterprise, ensuring seamless integration for real-time Alerts and Analytics, thereby enhancing decision-making processes.

· Led the setup of data management vendors, collaborating closely with the Data Team Lead to facilitate smooth data flow for downstream activities such as data cleaning, ensuring alignment with project timelines and quality standards.

Business intelligence Analyst Optimus Health Care

August 2019- May 2022

· Responsible for analyzing and interpreting data to empower management teams in strategic, operational, and clinical decision-making and population management.

· Developed and automated SQL-based integrated data dashboards using Azure tools that aggregate data into a meaningful and comprehensible format that is easily accessible to all organization members.

· Performed ad hoc analysis to support the Chief transformation officer (CTO) on quality-focused assessments, screenings, and clinical measures to identify trends and provide fact-based recommendations for decision-making.

· Implemented patient population analysis using Python libraries (Numpy , Pandas, and Seaborn ).

· Created and automated interactive dashboards for users using Power Bi and SSRS.

· Extracted data from different sources and created pipelines to consolidate data in one source for reporting purposes.

· Captured data for UDS, PCMH+, 340B Program, Joint Commission, and other mandated federal and state data reporting needs.

· Collaborated with clinical teams, operational leaders, and financial team members for documentation, CPT codes assignment and ensured proper linking of procedure codes to billing information.

· Collected, audited, analyzed, and reported on the company’s performance measures to support quality projects and initiatives defined by the company’s Quality Improvement Plan (QIP).

· Collaborated with the quality team, operations, and clinical teams to develop electronic tools and resources for quality improvement projects and initiatives, including various presentations, training plans, forms, spreadsheets, informational handouts, etc.

· Developed, reviewed, and edited comprehensive performance reports for internal and external customers, ensuring level of compliance with the QIP and other collaborative initiatives.

· Worked closely with Chief Finance Officer (CFO) to study the supply and demand model to analyze present trends and predict future trends.

· Created Data Literacy Plan to educate company employees about data tools and how they can leverage data in their assignments.

· Acted as a liaison to internal and external stakeholders, ensuring effective communication and data management practices.

· Provided technical management and mentoring to department staff to improve their skills and performance.

· Designed and maintained SQL databases, created programming solutions, and conducted financial analyses to support organizational goals.

· Developed and maintained data ingestion connectors to third-party services to monitor patient surveys and patient feedback.

· Demonstrated strong leadership skills, initiating and maintaining cross-team relationships to achieve project objectives.

· Ensured compliance with applicable state, federal, and third-party regulations in data management.

· Developed a Machine Learning model for predict patient no show that helped reduce no show rate by from 28% to 18%.

· Developed an automated data collection system to report incidents, accidents, and medication errors using SQL, HTML and C#, to promote more data accessibility and sharing throughout the organization

· Used statistical modeling to predict future patient and encounter trends to estimate budget with the financial team.

· Developed a Machine Learning model for predicting diabetes in patients based on their vital signs and laboratory test results.

· Created and Deployed LLM model (GPT) to predict missing diagnosis in patient charts using patient vitals , medications and labs.

· Orchestrated the creation and management of comprehensive Systems Integration Plans, highlighting potential risks and challenges while ensuring data standardization and alignment across various groups, resulting in streamlined processes.

· Advised study teams on optimal approaches considering contractual, cost, and timeline constraints, effectively communicating pros and cons to facilitate informed decision-making. Identified and implemented innovative solutions to challenges, influencing future decision-making processes and reducing reliance on workarounds.

Data Analyst, Aptar Group, Inc.

February 2019- July2019

· Responsible for gathering data and analyzing large data sets to identify trends and patterns to support decision-making.

· Collaborated on strategic data projects with cross-functional teams for process improvement.

· Created and managed Tableau dashboards to automate business reports.

· Adhere to Lean Six Sigma, statistical process control, and statistical modelling.

· Collected data using SAP enterprise application and analyze it to discover key deliverables.

· Created dashboards for weekly and monthly key performance indicators (KPI) of reporting of production.

· Worked closely with stakeholders and subject matter experts (SME) to design BRD documents.

· Assisted the Director of Quality with customer issues, preparing purchase orders, and performing root cause analysis.

Teaching Assistant, University of Bridgeport

August 2017- February 2019

· Assisted in planning and delivering course content, ensuring alignment with curriculum goals.

· Conducted tutorials and discussion groups to reinforce lecture material and support students.

· Graded assignments and exams, providing constructive feedback to enhance student understanding.

· Developed and maintained online course materials, including lecture notes and assignments.

· Organized and led review sessions to help students prepare for exams.

· Facilitated communication between students and the lead instructor, addressing questions and concerns.