Dan Sarkar Email & Phone Number
@nccdirect.com
1 phone found area 336
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Who is Dan Sarkar? Overview
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Dan Sarkar is listed as Director at Paynela, a with 13 employees, based in United States. AeroLeads shows a work email signal at nccdirect.com, phone signal with area code 336, and a matched LinkedIn profile for Dan Sarkar.
Dan Sarkar previously worked as Director of Marketing Analytics and Data Science at Annexus Group and Director of Growth Strategy at Insight Que Solutions. Dan Sarkar holds Doctor Of Philosophy (Ph.D.), Media And Information Studies from Michigan State University.
Email format at Paynela
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About Dan Sarkar
15 + years of industry leadership, marketing strategy implementation, project management, and solutions development experiences in multiple industry domains: Marketing, Finance (Insurance, Banking), Automotive, Energy, and Sales. My expertise revolves around championing data-driven strategies in Marketing and Sales. I am a solid storyteller from Data to shape business strategy and I am highly proficient in working remotely in leading strategy, Data Analytics, Data Science teams in on-site and remote environments. I am a deep critical thinker, a strong communicator, and an effective leader in pivoting business decisions and shaping strategies. I bring expertise in developing strategic implementation using Data, Analytics, Data Strategy, Business Strategy, Marketing Strategy, Sales Strategy, Product strategy, Data Science, and ML/AI, and optimization. I have been involved in Data Science and Analytics mentoring and building for multiple start-ups such as KnowSun Data, Demand IQ, Pathrise, etc.Key CompetenciesStrong expertise in developing Marketing and Analytics Strategy, AI Strategy, Data Science Strategy, Data Management, Data Architecture strategies, and AI Ethics.Strong knowledge in digital and offline marketing and retail strategies and tactics, measurement framework working and tracking: acquisition and retention.Highly proficient in developing and delivering insights, story-telling, and strategy on consumer behaviors using data science, design thinking, and agile processes.Proficient in both Agile and Waterfall model. A strong individual contributor but have a lot of management and consulting experience for start-ups and mature companies.Strong experience in leading data science/analytics/research/strategy teams, past experience include leading up to 10 members.Strong skills to apply multi-disciplinary perspectives: computer human behavior, marketing, media, and behavioral economics, statistics, social psychology, computer science (Past work reference, primarily during my Ph.D: https://scholar.google.com/citations?user=VIUlzTgAAAAJ&hl=en (not updated regularly)). Experienced in serving various management positions, start-ups advisory roles, and a regular technology conference speaker for 10+ years (Conferences spoke: CHI, CSCW, ITERA, AI Congress, WorldComp, MarketingEdge, SERA)Keywords: Data-Driven Decision Making, Optimization, Strategy, Predictive Modeling, Machine Learning, AI, HCI, Social Media, Marketing, Information Architecture, Usability, Online Communities. Sales
Listed skills include Statistics, Data Mining, Machine Learning, R, and 36 others.
Dan Sarkar's current company
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Dan Sarkar work experience
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Director Of Marketing Analytics And Data Science
CurrentProvide strategic-insights for various sales and marketing initiatives. The work involves applying data to develop strategies across channels: Email, Paid, Organic, and Social over 1B+ revenue over the years. Supported strategy generation utilizing advisors sales funnel utilizing marketing campaigns.• Campaigns generated ROI on activations with multiple segments increased 1.8x• Contributed to multiple email marketing strategies involving various IDC-levels, individual marketer, advisor-level engagement, list building, a correlation between Sales and Email, segmentation, • Build marketing/Sales strategies driving traffic, engagement, leads and conversions. • Build validated datasets utilizing 2 discrete data sources from Athene to explore Internal Exchange. Matched Advisors, IDCs and various other attributes over 99%.
Director Of Growth Strategy
Manage strategic development for projects and productsUtilize PMI methodology and best practices in IT and Marketing to develop plan, timeline, execution and stakeholders' management
Sr. Manager Of Data Science
Work on developing analytical solution for NCC Marketing product, Credit Services.
Assistant Vice President
Worked on providing solutions for acquisition attribution for the risk Management team. Provided initial analyses for attribution in terms of number of touches and attribution window. Worked with Risk System to develop better web analytics solutions on Adobe products. Led various types of reporting, e.g. NASCAR, Direct Mail campaign performance for Risk Systems.
Group Director Of Analytics And Optimization
Lead high quality consumer, content and data analyses across different areas of the business.Interact with senior management, developers, QA, and strategists on a regular basis.Develop KPIs, measurement framework that leads to actionable product and marketing insights.Develop a vision for analytics that includes growth, strategy, data architecture and policy within the organization.Lead and manage the technical instrumentation of the analytics platform which involves tracking set-up, error handling, trouble shooting, and producing high quality report with analyses.Drive marketing communication and user-specific targeting based on in-depth analysis of the editorial content analyses and holistic view of the activation of content across multiple industry domains such as telecom, insurance, travel, retail, etc.Deliver analyses including asset segmentation, customer segmentation, retention analysis, upgrade and downloadable content analysis, loyalty, ROI, survey analyses.Provide data expertise and strategic direction to developers and project management and Sr. management teams.Lead and create dashboards and decks that illustrate key insights, story-telling providing an overview to clients and Sr. management.Collaborate with other analytic groups across the organization to share best practices and methods.Lead the team in applying a wide range of statistical modeling techniques such as curve estimation, clustering (K-Means, DBSCAN), sophisticated regression techniques, forecasting, etc.
Data Scientist
Developed Forecast models for Zappos and 6 P.M Marketing team Quarter over Quarter. The forecast allowed to build marketing strategies for various channels such as paid search, SEO, social, affiliates, direct buy, etc., and helped the channels to grow in terms sales revenue.Developed customer profile and audience segmentation for various Zappos and 6 P.M consumer brands.Developed Ad-Copy optimization algorithm in terms of Revenue, Total New Customers' acquisition and Total New customers' revenue for various ads within an ad-copy.Developed alternative models for customer lifetime value and customer lifetime revenue (incremental customer lifetime revenue (iLTR)) for Zappos. Overall a 2 million records were analyzed using in SAS Enterprise Miner and SAS Enterprise Guide.
Quantitative Researcher/Gta
Conducted multiple exploratory analyses and research on various digital online and gaming communities such as Everything2.com; Sploder.com; Eve Online and CR3. The analytical work and research led to actionable recommendations, feature improvement and research papers.Conducted large scale data mining on behavioral data (server log) to examine participation trend of members within online communities “Everything2.com” and “Sploder.com."Explored behavioral insights on members' behaviors on two real world web based communities in terms of their participation. Explored the data in-terms of Visualization and statistical modeling. Conducted SQL Query and scripting to explore these large data-sets.Performed trends and behavioral analyses on the distributed data. Conducted statistical modeling/analysis to predict how initial participation of members in the community could predict the membership duration.Examined using regression how offline gatherings of members supported online participation.Examined how consumers' preferences in Sponsored and Organic search products supported their purchase intentions conducting survey data.Worked on a big-behavioral data games project to understand how role of gender supports social and combat behaviors.
Consultant-Data User Experience Research
Conducted data mining, statistical analysis, market research, survey design and analysis of survey data for SQL-Server users across the globe. Determined tasks to benchmark features in collaboration with product managers, feature owners and architects for SQL-2008 resulted improvements in scenario planning for SQL-2011. Collaborated with principal researcher, designers and product managers in conducting the usability study for a multi server instance migration tool using RITE methodology which resulted in significant changes in the information architecture of the UI, presented a brown bag to the senior management with a recommendation of cognitive walkthrough evaluation for the next phase of design.
Data And Usability Intern/Consultant
Gathered and evaluated requirement using UCD principles to automate various business processes, designed prototypes. Evaluated Last Time Buy (LTB) Automation prototypes involving users developed automated solutions using JSP and e-Matrix which resulted in a 25% of the time saving for consumers.
Data Design Engineer
Designed, implemented and evaluated multiple data driven projects over a period of 2 years.Project: OSU Cash Card (C# and SQL Server). July 05-September 06. Designed cash card user interface to add cash and view existing balance. Evaluated the interface with customers in terms of load balancing and usability. The system is live, functioning for the university dining system.Library Book Locator with a PDA interface, Oregon State University UX Researcher September 2006 - December 2006 Conducted interviews to understand users' need to identify and locate books for Valley library. Designed and evaluated low fidelity prototype to enhance existing web interface. Developed a PDA interface, and conducted Think Aloud and Heuristic Evaluation for the prototype.A Case Study: Predicted behavior of Software Development model for Task-Tracer Online Recommendation System, Oregon State University Researcher January 2007 - May-2007 Designed Questionnaire to understand communication process within Task-Tracer among software developers. Developed Extended Attention Investment model as a theoretical contribution.
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Dan Sarkar education
Doctor Of Philosophy (Ph.D.), Media And Information Studies
Master Of Science (M.S.), Computer Science And Computer Human Interaction
Frequently asked questions about Dan Sarkar
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What company does Dan Sarkar work for?
Dan Sarkar works for Paynela.
What is Dan Sarkar's role at Paynela?
Dan Sarkar is listed as Director at Paynela.
What is Dan Sarkar's email address?
AeroLeads has found 1 work email signal at @nccdirect.com for Dan Sarkar at Paynela.
What is Dan Sarkar's phone number?
AeroLeads has found 1 phone signal(s) with area code 336 for Dan Sarkar at Paynela.
Where is Dan Sarkar based?
Dan Sarkar is based in United States while working with Paynela.
What companies has Dan Sarkar worked for?
Dan Sarkar has worked for Paynela, Annexus Group, Insight Que Solutions, National Credit Center, and Credit One Bank.
How can I contact Dan Sarkar?
You can use AeroLeads to view verified contact signals for Dan Sarkar at Paynela, including work email, phone, and LinkedIn data when available.
What schools did Dan Sarkar attend?
Dan Sarkar holds Doctor Of Philosophy (Ph.D.), Media And Information Studies from Michigan State University.
What skills is Dan Sarkar known for?
Dan Sarkar is listed with skills including Statistics, Data Mining, Machine Learning, R, Research, User Experience, Human Computer Interaction, and Qualitative Research.
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