Our Vision & Mission
Leadership Team
Anuj Batta (CEO & Founder)
Anuj is the Founder and CEO of Quanolytics. He started Quanolytics with a desire to bring his experience in data science consulting and training to make organizations data driven, irrespective of their size and maturity level through the application of advanced analytics including Artificial Intelligence (AI).
Before founding Quanolytics, Anuj worked with multiple clients globally to create a lot of value using data science. He has headed data science practices for multiple MNCs and startups. He is also a passionate trainer and trained hundreds of client teams in India and abroad on data science.
Ankit Pandey (COO & Co-Founder)
Doctoral researcher in Information Systems from IIM,
Indore, with an MBA in Business Analytics and certified from MIT, Cambridge.
Ankit, is a publisher of multiple articles, shepherd of webinars,
and proficient in diverse technologies.
With a decade long leadership experience, he has been driving transformative
data science projects. Proven expertise in operational strategy, client
engagement, financial management, and team development.
Priti (CHRO)
Priti is the head of Human Resources (HR) at Quanolytics. She leads our People Strategy & Operations , mentorship, talent acquisition, performance management, career architecture, compensation & benefits. She has a clear vision to make Quanolytics and TheHRAnalytics the best place to work by providing the best environment for the employees, promoting and recruiting the best talent.
Preeti is a seasoned HR professional with two decades of work experience in the IT industry in multiple leadership roles implementing HR strategy, quality, policy, and processes
Priti is an MBA with multiple certifications in HR.
Amit K Sharma (Promoter, Australia)
Amit is a seasoned entrepreneur and promoter of Quanolytics Australia. Amit started his career as a Data engineer and worked with one of the best product companies in the world like Impetus and Adobe inc. His passion for building intelligent solutions inspired him to start his entrepreneurial journey. Over the past 17 years working with multiple customers and building intelligent solutions his passion for data and AI has grown by many levels. He has a vision for Quanolytics Australia to solve problems that bring value to businesses through data science and Artificial Intelligence.
our Journey
What We Do
We help organizations in creating value through data-driven decision making across the private, public, and social sectors. We partner with the clients for organizational transformations in the areas which matter most to them. This is fulfilled by our core expertise: data science. With exceptional people and leaders at Quanolytics, we turn ideas into reality. To maximize the positive impact on the overall landscape, we have created three different verticals, in which our well-equipped specialists work tirelessly to help you achieve (and mostly, go beyond) your business goals.
Testimonials from our clients
It has been an absolute delight to work with the Quanolytics team. We wanted to implement AI and automation through some of our processes and were looking for a consulting company to help us. Based on a recommendation, we approached Quanoyltics, and they were quick enough to understand the requirements and implement the solution to our satisfaction. It was delivered within the promised time and budget.
Narayanan V
Narayanan V ,CEO Alliance Advertising & MarketingQuanolytics consulting and BI tool gives all the insights of the company’s needs, including predictive analytics and data manipulation to make different types of reports, which can be extremely helpful for the company in taking proactive decisions. With Quanolytics, we have reduced the use of excel, ensuring more accurate and faster information; we have also automated repetitive tasks. Extremely happy with Quanolytics team!!
Steve Whitaker
Founder CEO, ezcures4uAdvanced programming language for implementing machine learning models from scratch. Quanolytics data science experts and guide through a vast range of libraries and custom functions for building, training, and developing ML models. It offers easily interpretable, reasonable, and concise code and allows developers to build and test complex machine learning algorithms on structured and unstructured data with ease.