Eisai US

Assoc Director, Commercial, Omni Channel

Bayer

Sr Analytics Lead - Consumer Health, Commercial Ops, North America

Daugherty Business Solutions

Lead and support various fortune 500 clients with data strategy, visualization, kick start data initiatives and solutioning for the most critical business problems.

Data Solutions Lead

Asembia

► Hired to drive data transformation, modernize and upgrade legacy technology stack, improve process efficiencies, perform P&L analysis, provide strategic vision and direction for teams.

► Established a newly formed data analytics team, overseeing data management and analytics on behalf of the company’s Healthcare clients.

► Named as a Finalist of the Women in IT Awards 2018 (USA) in the Data Leader of the Year category.

Director, Enterprise Data Solutions and Strategy

Delta Dental of New Jersey and Connecticut

► Founded an in-house software development function for the New Jersey unit. Formed an Agile/Scrum development team, trained on Agile software delivery and release practices, and managed multiple concurrent projects.

► Lowered costs and improved strategic partnerships by examining outsourced vendor relationships supporting enterprise claims processing.

Product Manager

IMS Health

► Responsible for leading inhouse and outsourced data operations teams, directing projects to build business intelligence dashboards, data visualizations, and related analytics for large volumes of data. 

► Projects included the administration of the end-to-end SDLC budget of a $2MM formulary data project. Excessive knowledge of IMS data sets like Xponent, PlanTrak and FIA.

Sr Manager, Managed Care Analytics

CSG International

► Led the development of cost-effective solutions in accordance with Agile methodologies, working as a liaison between business and technical teams.

Technical Lead/ Product Owner

Leading Data Teams | Public Speaker | Author of "Thriving in a Data World" Book | Healthcare and CPG Data Strategies | Transforming Numbers into Compelling Stories

Data Analytics Leader with extensive experience in big data analytics, product management, software development engineering and cross functional team leadership. Skillfully leverage blend of business, data and technical knowledge to solve complex business problems and develop data products to automate workflows, improve accuracy and generate cost savings.

Established data analytics teams from the ground up to offer self service reporting and grow profitability of data solutions.

Recognized as a Finalist of the Women in IT Awards 2018 (USA) in the Data Leader of the Year category.

Notable Specialties and Experience:

•	Data Strategy and Big Data Analytics
•	Product Management
•	Business Intelligence and Visualization 
•	Team Leadership 
•	Manage P&L
•	Healthcare, Life Sciences, Supply Chain, Insurance and Billing 
•	AWS and other cloud products
•	Operational excellence
•	Vendor Management
•	Data technologies and Coding 
•	Speaker
•	Book author 
•	Content writer

Sangeeta Krishnan

.	Mentored 50+ students in grades 9-12, developing customized lesson plans that resulted in an average grade improvement of 15% across mathematics and science subjects.

.	Integrated practical programming examples into the STEM curriculum to bridge theoretical concepts with real-world application, significantly increasing student engagement and retention.

. Fostered critical thinking and problem-solving skills through a collaborative learning environment, tailoring teaching strategies based on regular assessments to address individual knowledge gaps.

. Authored specialized study materials and conducted progress tracking, which directly contributed to consistent academic improvement and student success.

Maths, Science, and IT (STEM) Tutor | Self-Employed

AlmaBetter

.	Engineered and deployed 12+ end-to-end machine learning models for NLP and computer vision, leveraging advanced algorithms to improve average prediction accuracy by 25%.

. Automated CI/CD pipelines using Jenkins and containerized models with Docker, reducing deployment time by 30% and ensuring scalable, reliable model serving.

	.Built interactive Tableau and Power BI dashboards to visualize key business metrics, enabling data-driven decision-making and improving stakeholder reporting efficiency.

.	Implemented MLOps best practices with Apache Airflow for data pipelines and MLflow for experiment tracking, enhancing team collaboration and project reproducibility.

Data Science Trainee | AlmaBetter

ML/ AI Trainee @Almabetter with 1 year of experience & Self-employed Science Teacher. |Python||NLP||SQL||GEN AI||MLOps||Excel||Spark||Kubernetes||Apache Airflow||Tensorflow||LLM||CNN||RNN|

A Dedicated Data Scientist with a B.Tech in Computer Science (CGPA: 8.7), Abhisek is driven by a deep curiosity for Artificial Intelligence and its power to solve complex problems. His academic excellence is matched by his commitment to knowledge sharing, having successfully mentored 50+ students in STEM subjects, improving their grades by an average of 15%.

Professionally, Abhisek has developed and deployed 12+ end-to-end machine learning projects, specializing in NLP, Computer Vision, and robust MLOps pipelines. He has a proven track record of enhancing model accuracy by 25% and slashing deployment time by 30% using Docker, Kubernetes, and Jenkins. His expertise extends to crafting insightful Tableau dashboards that empower data-driven decision-making.

He is now seeking to apply his skills in predictive analytics and scalable ML system design to tackle innovative challenges in a forward-thinking tech environment. He is eager to connect with professionals and organizations at the forefront of AI.

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The Battle

Sangeeta Krishnan

Abhisek Das

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