🔓 Unlock the full profile of Shailendra Kathait (Valiance Solutions), including verified contact details, financial insights, and professional associations.
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Email: sha*****@val******.com
Mobile: 84617*****
Estimated Net Worth 💰 : ₹0 – ₹500+ Cr (approx. $0 – $60M)
Key Insights You Should Know About This Individual
- Shailendra Kathait co-founded Valiance Solutions in April 2016, taking on the role of Chief Data Scientist, leading the organization's data science initiatives and innovations.
- Prior to Valiance Solutions, Shailendra worked at IBM from May 2014 to October 2016 as a Specialist in Machine Learning, contributing expertise in machine learning technologies.
- Shailendra's career includes a significant role at American Express as a Senior Data Scientist from March 2012 to April 2014, where valuable data-driven insights and models were developed.
- Before American Express, Shailendra served as a Senior Machine Learning Engineer at Hansa Cequity from July 2011 to March 2012, applying machine learning algorithms to real-world problems.
- Shailendra began their professional journey as a Product Manager at ICICI Lombard from July 2010 until July 2011, overseeing product development and market strategies.
- At Valiance Solutions, Shailendra has driven the design and execution of advanced analytics solutions to tackle complex business challenges, positioning the company as a leader in the data science domain.
- The collaboration with various organizations throughout the career has allowed Shailendra to develop a robust skill set in data analytics, machine learning, and product management.
- Achievements include leading successful projects that leverage data science to transform business operations and enhance decision-making processes.
- Shailendra has faced challenges related to the dynamic nature of data science, continuously adapting to emerging technologies and methodologies to stay at the forefront of the field.
- Valiance Solutions under Shailendra's leadership has established strong partnerships and collaborative efforts with clients, driving innovation and impactful outcomes in their data strategies.