Neeraj Kulkarni

CEO & CDAO at CIEK Solutions

Neeraj Kulkarni is the founder and CEO of CIEK Solutions, an award-winning AI and data sciences consultancy with global operations, recognized as a top predictive analytics provider from 2021 to 2024. With a strong background in data science, Neeraj has held significant roles including Chief Data Scientist at The Martin Agency and Lead Data Scientist at Havas CX Helia. Neeraj's expertise extends to advisory positions on the DMA Analytics Council, as well as teaching as an adjunct professor at Baruch College. Neeraj holds an MBA in Marketing and Investment Banking from Fox School of Business and has completed executive education programs focused on AI strategies and business leadership.

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New York, United States

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CIEK Solutions

CIEK Solutions is a fast-growing boutique AI and Data Sciences consultancy that partners closely with fortune 100 and mid-market clients, consulting firms, and agencies to maximize customer centricity and marketing ROI, and develop monetizable data products, and innovative gen AI solutions to automate workflow. CIEK has been selected as the top boutique predictive analytics & data sciences solutions providers by the CIO review & Martech Outlook magazine from 2021-2024. We have delivered 100+ large end to end AI based predictive analytics services and solutions to large media agencies, advertising agencies, and direct fortune 100 enterprise clients with at least 40 % cost savings when compared to working with larger analytics consulting firms to our clients. Our mission is to unlock the value of data and experiential knowledge to generate smarter, AI driven predictive insights that drive dramatic growth. We provide specialized AI & Data Science Services and solutions in the following areas: A) AI for Marketers (Custom MMM/MTA solutions, A/B and multi-variate campaign testing and analytics, promotions analytics, price elasticity modeling, demand sensing & forecasting – have worked with every large media and consulting agency and provide services to large and mid-market companies B) Customer Experience Analytics – Customer Lifetime Value, Customer Segmentation Solutions, Next Best Product, Acquisition, Churn, and Loyalty analytics, Recommendation Systems, Voice of Customer Analytics C) BI Engineering and Dashboarding – GCP, AWS, Azure, Snowflake, Databricks, Snowflake, Neo4J databases. Expertise in implementing end to end data products with visualization using Looker Studio, Tableau, Power BI, and Datorama. D) GenAI analytics – LLM evaluation and implementation of AI based automated workflow solutions. Our team has over 100+ years of combined industry experience leading data sciences, data engineering, DevOps, DataOps , and AI implementations for Fortune 100 companies,


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51-200

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