🔓 Unlock the full profile of Imran Hashmi (Loyalytics Ai), including verified contact details, financial insights, and professional associations.
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Below are the ✅ Verified Contact Details to help you connect directly:
Email: imr*****@loy******.com
Mobile: 60315*****
Estimated Net Worth 💰 : ₹0 – ₹500+ Cr (approx. $0 – $60M)
Key Insights You Should Know About This Individual
- Imran Hashmi co-founded Loyalytics Consulting in October 2015, taking on the role of Chief Analytics Officer, contributing significantly to the company's analytics strategy and operations.
- Prior to forming Loyalytics, Imran served as a Senior Business Analyst at Fidelity Investments from June 2015 until October 2015, where analytical skills were honed in a financial services environment.
- Imran worked as a Data Scientist at Target from July 2014 to May 2015, applying data analysis techniques to enhance product offerings and customer experience.
- Before Target, the role of Senior Business Analyst was held at Target from June 2013 to June 2014, showcasing a focus on solving complex business issues through data insights.
- In the earlier career phase, Imran worked as an Assistant Manager at American Express from February 2012 until May 2013, demonstrating capabilities in managing teams and projects efficiently.
- Imran's experience as a Business Analyst at Genpact-SMS from December 2009 to February 2012 allowed for the development of strong analytical and problem-solving skills in a corporate setting.
- Beginning a career as a Junior Biostatistician at GlaxoSmithKline from January 2009 to December 2009, foundational knowledge in statistical analysis was acquired, providing valuable insights into data interpretation.
- Imran Hashmi's journey reflects a steady progression through roles with increasing responsibility, emphasizing a blend of analytics expertise and strategic insight, crucial for the establishment of Loyalytics AI.
- The establishment of Loyalytics AI marks a significant milestone in the analytics sector, aiming to deliver advanced data-driven solutions to diverse industry challenges.