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

LatentView Analytics

Roles and Responsibilities: To be Updated on Oct-07-2024
Achievements: To be Updated on Jan-07-2025

Associate

University at Buffalo School of Management, The State University of New York

Boosted local company's web presence, resulting in an XX% increase in organic visitors by optimizing website pages and auditing competitor websites for improvements.
• Reduced marketing campaign expenditures by XX% by analyzing CRM data and Google Analytics to adjust
tactics based on lead sources, user behavior, and campaign effectiveness.
• Achieved an XX% uplift in conversion rates by utilizing web analytics and Hotjar to identify and fix bugs on high-potential conversion pages, enhancing user experience and engagement.

Project Clinic Intern

Objective - To improve consumer experience across the booking journey
• Spearheaded products team of X analysts leading experimentation, contributing to company's product roadmap, and marketing strategy.
• Delivered XX% increase in app booking conversions, resulting additional $XM by enhancing bookings flow.
• Successfully launched four products with product, marketing, and core business team adding $XXM in revenue.
• Elevated occupancy by X% for XXX hotels by applying text analytics on cancellation data of X.YM bookings.
• Facilitated cross-functional planning and implementation of new features among product managers, designers, marketing team, and engineers based on user behavior analysis across platforms resulting in XX% increase in user engagement.
• Managed formal experiments and A/B tests for consumer product launches by validating impact of XX+ metrics, segmentation, funnel analysis, retention, and heat mapping using Python, SQL, Hotjar, and Google Analytics.
• Accelerated data driven decision making across XX+ countries by developing automated global dashboards for XX+ KPIs.
• Define the success metric of a product and build KPIs to improve the product and analytics.
• Collaborated with product managers, engineers, and other stakeholders to define product strategies and drive successful product launches.
• Facilitated cross-functional collaboration to ensure seamless implementation of new features and improvements.

Tools - SQL, Python, Big Query, Google Analytics, R

Assistant Manager Product

Objective - To improve hotel occupancy and post-booking user experience. 
- Analyze and resolve the location-related cancellation issue to improve occupancy.
- Identify the customer issues on the application and conduct A/B experiments to improve the user experience, conversion, and occupancy.
- Build dashboards and generate insights from data for post-booking products.
- Improve the user experience and hotel occupancy by identifying issues in the booking modification journey, for example, building the dashboard and analyze the metrics to keep track of drop-offs across the modification journey.
Tools - SQL, Google Analytics, Python, R

Product Analyst

Objective: To solve the data latency issue for the Leading Hardware Company
- Led a team of X Analysts to reconfigure data engineering pipeline in Azure, achieving XX% reduction in ETL process time through automation, compute cost optimization, and query optimization.
- Developed the framework of ETL jobs to be utilized across the organization for performing ETL tasks efficiently.
Tools - SQL, Talend, Azure Data Lake, Python

Senior Data Analyst

Objective: To improve the user experience and increase ad revenue by analyzing the data of a panel of users from features on search engine results.
- Reduced XX% of labor hours by integrating Azure Auto ML for predicting component types across XXX+ data categories; employed under-sampling and deployed XGBoost model.
- Leveraged NLP on XXXK web pages interactions with Net Promoter Survey to extract thematic elements for positioning.
- Performed in-depth analysis to segment users based on search and click activity for X.Y+M pages of big data.
- Generated and automated detailed monthly Excel reporting on Ad density and Ad coverage KPIs to benchmark against competitors.
- Improved CTR by X% over XX months by examining user navigation and XX TB of clickstream data.
- Trained the recruits and conducted knowledge transfer sessions of the project.
Tools - R, Python, SQL, C#, Azure, AWS

Data Analyst

ITC Limited

Objective: To reduce equipment failure, Increase machine running time, and save cost by improving spare life. 
- Studied the 18 months of data and listed the critical areas. 
- Suggested important steps and projects for cost reduction and efficient production.

Intern

𝐖𝐞𝐥𝐜𝐨𝐦𝐞 𝐭𝐨 𝐭𝐡𝐞 𝐏𝐫𝐨𝐟𝐢𝐥𝐞 𝐨𝐟 𝐚 𝐏𝐫𝐨𝐛𝐥𝐞𝐦 𝐒𝐨𝐥𝐯𝐞𝐫 𝐰𝐢𝐭𝐡 𝐃𝐚𝐭𝐚 𝐄𝐱𝐩𝐞𝐫𝐭𝐢𝐬𝐞!
They say I turn data into gold, but, I'm just an analyst with 5+ years of experience and a sprinkle of coding (SQL, Python, R, Google Analytics – the whole tank).
𝐇𝐞𝐫𝐞'𝐬 𝐚 𝐠𝐥𝐢𝐦𝐩𝐬𝐞 𝐢𝐧𝐭𝐨 𝐦𝐲 𝐞𝐱𝐩𝐞𝐫𝐢𝐞𝐧𝐜𝐞:

𝐏𝐫𝐨𝐣𝐞𝐜𝐭 𝐈𝐧𝐭𝐞𝐫𝐧, 𝐔𝐁 𝐒𝐜𝐡𝐨𝐨𝐥 𝐨𝐟 𝐌𝐚𝐧𝐚𝐠𝐞𝐦𝐞𝐧𝐭 𝐏𝐫𝐨𝐣𝐞𝐜𝐭 𝐂𝐥𝐢𝐧𝐢𝐜 (𝐑𝐞𝐜𝐞𝐧𝐭):  I wasn't just brewing coffee (although I can make a mean latte). I helped local organizations leverage data to create winning solutions and strategic marketing plans. All the while working on my pathway to a perfect 4.0 in Master of Science in Business Analytics.

𝐏𝐫𝐨𝐝𝐮𝐜𝐭 & 𝐃𝐚𝐭𝐚 𝐀𝐧𝐚𝐥𝐲𝐬𝐭, 𝐎𝐘𝐎 (𝐏𝐫𝐞𝐯𝐢𝐨𝐮𝐬):
Enhanced the user experience across the booking journey, trained analysts & product managers, built dashboards, conducted A/B testing, and improved fraud detection algorithms and occupancy. You name it, I did it! Also, Collaborated with cross-functional teams to define product strategies and launch successful products. Nailed the teamwork there.

𝐏.𝐒. When I'm not crunching numbers, I'm either burning something in the kitchen or binge-watching anime. I love attempting new recipes (as long as I can eat them) and getting hooked on shows like Naruto, One Piece, and Attack on Titan. Got an anime that's a must-watch? Drop your recommendation! 🍲📺

taplio

The Battle

Sangeeta Krishnan

Madhav Bhatia

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