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

Analyst

Transforming Data into Actionable Insights | Python, SQL, Tableau, Data Visualization and Machine Learning | UpGrad Campus

Welcome to my LinkedIn profile !

I am a certified, enthusiastic and results-driven Data Scientist and Analyst with a strong passion for turning data into actionable insights. As a graduate, I am eager to embark on a journey in the world of data-driven decision-making, utilizing my analytical skills and knowledge to make a meaningful impact.

During my academic journey, I developed a solid foundation in data analysis, machine learning, statistical modeling, and programming languages such as Python and SQL. I undertook several data-driven projects that honed my ability to derive valuable insights and fostered a keen interest in solving real-world challenges.

Key Skills :-
Programming Languages
     -  Python (NumPy, Pandas, Matplotlib and Seaborn)
     -  SQL
Data Visualisation Tools 
     -  Microsoft Excel
     -  Microsoft Power BI
SQL & Database Management
     -  ETL (Extract, Transform and Load)
Statistics and EDA (Exploratory Data Analysis) 
     -  Inferential statistics 
     -  Hypothesis Testing 
Machine Learning    
     -  Linear Regression     
     -  Logistic Regression    
     -  Decision Trees     
     -  Clustering etc.
Generative AI

I am actively seeking entry-level positions in Data Analysis/Business Analyst, Data Scientist, Data Engineer and AIML Engineer where I can contribute my skills and passion for data-driven problem-solving. 

If you are looking for a motivated, analytical, and curious to join your team, please feel free to reach out at patilbhavesh925@gmail.com

Thanks.

taplio

The Battle

Sangeeta Krishnan

Bhavesh Patil

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