Snap2Insight
Anoop Ramankandath has a diverse work experience in the technology industry. Anoop currently holds the position of Director - Engineering at Snap2Insight, a company that specializes in using image recognition and deep learning to provide insights on product merchandising and trade promotions. Prior to this role, Anoop worked as a Principal Engineer at Snap2Insight, where they contributed to the development of their innovative solutions.
Before joining Snap2Insight, Anoop had a significant tenure at Manhattan Associates. Anoop started as a Senior Software Engineer and progressed to the roles of Technical Lead and Principal Software Engineer. During their time at Manhattan Associates, Anoop played a crucial role in software development and leading technical projects.
Anoop also has experience working at Wipro Technologies, where they served as a Technical Lead and Senior Software Engineer. Anoop initially joined Wipro as a Project Engineer and gradually advanced to more senior roles. Additionally, Anoop worked as a Contractor at Ericsson for a period of over one year.
Overall, Anoop Ramankandath has demonstrated expertise and success in engineering and software development roles throughout their career.
Anoop Ramankandath completed their Bachelor of Science (B.Sc.) degree in Physics at N.S.S College in Ottapalam, Kerala from 2001 to 2004. Anoop then pursued a Master of Computer Applications (M.C.A.) degree specializing in Computer Programming at Amrita School of Engineering in Coimbatore from 2004 to 2007. Additionally, Anoop has obtained certifications including the SpringSource Certified Core Spring Professional from SpringSource, a division of VMWare, and the Sun Certified Java Programmer certification from Sun Microsystems.
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Snap2Insight
One of the leading health and personal care brands had planned a promotional campaign offering bonus packs at a promotional price in the face of some intense competition from its rival brand. Their customer (Team Leader for the brand at a retail chain) had worked with a major retailer to put up pallet displays with eye catching graphic skirtsacross all its stores nationwide. Their customer has often seen poor sales lift across 30-40% stores for such campaigns in the past. Snap2Insight was tasked to verify quality of execution nationwide and identify stores with incomplete execution or no execution. Leveraging their partnership with a leading crowdsourcing vendor, they quickly gathered photos of displays from every single store and using their patent pending Deep Learning technology, they analysed them to recognise SKUs stocked, present of graphic skirt, promotional price and type of display put up. Using execution scores they provided for each store covered under this promotional campaign, their customer worked with their retail coverage partner (merchandiser) to prioritise and fix all stores with low execution score and high potential for sales lift, thereby improving sales and achieving break over for over 90% of stores.