About IVY Pro School
ivy® Professional School is the official and authorized learning partner of some of the biggest corporate houses in India in the field of Analytics, Consulting, Banking & Finance, Information Technology, FMCG, Project Management and Manufacturing.
Core Management Team
Ivy Professional School is managed by an experienced team of entrepreneur- leaders with
excellence in various global ventures.
Prateek, a Computer Engineer and a Management Graduate from Texas, started his career as an SOX Consultant at National Instruments in Austin and eventually moved to Technology Strategy Consulting with Capgemini US. In his consultancy career, he advised and provided consultancy services to various Fortune 100 financial and real-estate firms.
Prateek brings subject expertise and the ability to leverage his professional network to expand Ivy’s reach.
Eeshani, a Certified Professional Engineer (P.E.) from US, has extensive experience in consultancy and project management in the US and India backed with strong educational credentials (M.S. Texas A&M Univ). Her professional experience includes several years of client development and project management across 200+ projects for almost as many clients.
Eeshani is Client Relations Director at Ivy and has proven pivotal for Ivy in building business relations with reputed corporate houses and educational institutions.
M.S. Maths, IIT Kanpur. A seasoned entrepreneur and strategist with strong academic credentials.
MSQE, ISI Kolkata. A seasoned Analytics Professional with 14+ years of industry experience.
The Management Team works under the guidance of an Advisory Council which comprises of internationally qualified professionals from across the globe.
Mr. Shreyas Murthi (B-Tech, M.S., M.B.A. (Berkeley)), Manager, ZS Associates, Mountain View, California, USA.
Area of expertise – Sales and Marketing Advisory and Consulting.
Mr. Neeraj Gutgutia (IIM, ACA) President, Finance & Gas, Hiranandani Energy Group, Mumbai, India.
Area of expertise – Organization Planning, Execution and Strategy.
Mr. Subit Mathew (B-Tech, M.S.), Sr. Consultant, Deloitte, Chicago, USA.
Area of Expertise – Enterprise Wide IT Project Strategy & Execution.
Mr. Raja Banka (Maths, IIT Kanpur), Sr. Analyst, EME Micro Electronics, Kolkata, India.
Area of Expertise – Data Analysis & Research.
Thinking of a Career in Big Data Analytics?
Big Data Science & Analytics
Data Science, which Analytics is a part of, is the science of examining raw data with the purpose of drawing conclusions about that information. Data Science (and Analytics) is used in many industries to allow companies and organization to make better business decisions and in the sciences to verify or disprove existing models or theories.
Big Data Analytics
It is is the process of managing and examining large amounts of data of a variety of types (big data) to uncover hidden patterns, unknown correlations and other useful information. Such information can provide competitive advantages over rival organizations and result in business benefits, such as more effective marketing and increased revenue.
Is Analytics / Big Data Science For You?
If you enjoy working data in different ways, exploring the stories that data may reveal, and even experimenting with visualization techniques, you may enjoy a role in data science. Analytics is necessary in almost every field and industry and professionals with analytics skills are expected to play a role in guiding strategic decisions.
What does a Big Data Scientist / Analyst do?
Data analysts translate numbers into plain English .Every business collects data, whether its sales figures, market research, logistics, or transportation costs. A data analyst’s job is to take that data and use it to help companies make better business decisions.
What are the industries where analytics find its importance?
Analytics is the need of the hour. Analytics finds presence in IT, Retail, Banking, Pharma, Hospitality, Healthcare, FMCG, Media, Sports etc.
What is the scope of Data Analytics in India?
In a fast-evolving analytics landscape, analytics hiring is on a steep curve – increased by more than 80 % over the past year
What are the tools commonly used by an Analytics Business Analyst or a Big Data Scientist?
SAS (market leader among statistical analysis tools), R (open-source and good for statistical analysis / machine learning), Python (good for machine learning), Hadoop (to handle large amount of data), Tableau (Data Visualization), Excel, VBA, SQL.
What are the eligibility criteria for the course?
Graduates, Post Graduates from any stream are welcome with a love for numbers. Work experience not required. Open for working professionals.