Ananda Subramaniam

Passionate Analytics Professional with over 8 years of experience in various industries solving problems related to Marketing, Pricing, Insurance.

• Was awarded “Transformed our organization” award for showing “Thought Leadership”
• Completed Mu Sigma decision scientist certification in 2017
• Awarded Impact award (highest award in Mu Sigma) for excellent client delivery and support
• Awarded Special Prize for emerging as topper in Mathematics, Physics, Social Science in Class XII, XI, X respectively
• Participated in National Science Olympiad and Won Distinction Certificate for 2 years (2009, 2010)

• Chess
• Reading
• Swimming
• Carom

• Have been a part of the Mu Sigma chess team/chess club driving initiatives within the organization
• Currently Rated at 1607 in Fide Chess Rating List
• Winner of U-12 district chess championship in 2005
• Winner of Intra-School/college Chess Championship in Classes VII, X, XI, XII, B-Tech 2nd and 3rd year
• Green Belt Holder in Korean Familiar Tang-Soo-Do Karate
• Passed Grade IX advanced in Ideal Play Abacus
• Passed International Abacus Exam conducted by China (Grade-8, Grade-6)

• Improved customer experience (measured through survey scores) by identifying key drivers of poor customer experience
• To enable reduction of claim cost by identifying claims (realized ~$3M) that are taking longer time than expected
• Build Gamma GLM models to predict claim duration
• Identified the key drivers of Customer experience with the claims process
• Modelled claim process attributes against customer experience score obtained through a survey
• Identified Fraudulent claims from a set of Home damage claims lodged by customers
• Modelled customer and claim attributes to understand the likelihood of a customer making a fraudulent claim
• Provided pricing recommendations for one of the largest automotive companies generating an impact of $5M
• Used a probability based machine learning algorithm to identify potential customer drop
• Created behavioural, RFM customer segments for better digital targeting for a large scale retailer
• Used a unsupervised, supervised segmentation technique for creating behavioural and RFM segments
• Created a long term strategic roadmap of problems to be solved for the pricing team of one of the largest automotive companies by interviewing peripheral stakeholders
• Created an automated tool to create a IDN based hierarchy for better targeting for a large scale pharmaceutical company
• Developed a Vacant Seat Detection System to detect vacant seats for crowd management under the guidance of Dr.T.Sree Sharmila, Associate Professor, IT, SSN

• Lead a team in providing continuous pricing recommendations for a large scale automotive company
• Lead a team in creating automated tool to create a IDN hierarchy for better targeting
• Mentored the students of SSN college of engineering in the Smart India Hackathon – 2018, by Govt. of India
• Technical Head of the official Math Event Mathematica for our technical Symposium Converita 2014.
• Captain of School Chess Team for CBSE Zonals

• S.S.N College of Engineering, Anna University, 7.8/10
• Srimathi Sundaravalli School, CBSE, 92.80%
• Srimathi Sundaravalli School, CBSE, 91.80%

• Mentored my college juniors in a 2 day Smart India Hackathon conducted by Indian government
• Participated in Microsoft Dream Spark yatra 2012, Student program
• Participated in IEEE math event, Matricks
• Participated in a 24 hour Hackathon event Conducted at SSN, by Ascendant Technology