Building the next generation of accelerator metrics generation engines that quickly calculate customer based metrics such as penetration and carry out distinct customer counts in secs / minutes, 10 times faster than traditional relational databases at one-fifth the cost.Achievements:- Managed to reduce tech costs of new client launch by 90%- Improved report performance by 10x

Designed, developed and managed large scale, big data-driven predictive models integrated with key product features in the Media space - Allocation Engine, Targeting Solutions, Measurement.- Productized data science models and solutions that can be deployed and generate insights for clients in days rather than weeks.

Led the migration project from SAS to open source technologies of Python and Hadoop within the organisation.- Built an entire ETL platform from idea to launch using big data technologies which helped the migration of all existing clients to open source in 1/10th the time of writing custom code for every client

Analyzed click data captured via Adobe Omniture’s site catalyst tool for web data tagging and collection for understanding customer journey on the retailer website to identify:- Customer decision tree for purchasing a product on the website compared to in-store- Top customer irritants that lead to abandoning of products in carts- Effectiveness of online promotions

Led a team 6 people based out of India office to design the Digital Personalisation Platform for clients involving the creation of a digital app for engaging customers with truly personalised content for each individual customer.• Worked with Science Team to design algorithms for personalized content uploaded on the app in the form of services. These algorithms included: - Identifying products usually bought by customers to pre-create customer shopping list- Identifying Relevant… Show more Led a team 6 people based out of India office to design the Digital Personalisation Platform for clients involving the creation of a digital app for engaging customers with truly personalised content for each individual customer.• Worked with Science Team to design algorithms for personalized content uploaded on the app in the form of services. These algorithms included: - Identifying products usually bought by customers to pre-create customer shopping list- Identifying Relevant Promotions for customers based on products bought to advertise only these through the digital channels- Identifying products the customers might have forgotten to buy based on product relevancy and purchase frequency to show these to customers at the time of check-out. The concept is similar impulse buying of products in aisles at check-out counters in stores. This algorithm when implemented on client website in UK resulted in immediate sales uplift of 1%.- Identifying Substitutes and Complements for each product. • Worked with Real Time Engine Team to decide the flow of data in and out of the cloud environment that acted as the host between client and our side.• Designed and developed the Contact History solution to capture ‘who saw it, what they saw and how did they respond’. This data feeds into automated reports delivered to the clients on a daily basis in order to evaluate the efficacy of Personalisation algorithms. Show less

Work managed a team of 5 people based out of dunnhumby India to deliver projects for established markets based in Europe and new markets based in Asia. • Piloted a collaborative DAP project (Discovery Analysis Platform) with the team based in UK in one week to reduce the delivery time of insights for new clients from 4 months to less than a month. This was achieved by reducing the scope of deliverables from data perspective in terms of providing the bare minimum needed to carry out… Show more Work managed a team of 5 people based out of dunnhumby India to deliver projects for established markets based in Europe and new markets based in Asia. • Piloted a collaborative DAP project (Discovery Analysis Platform) with the team based in UK in one week to reduce the delivery time of insights for new clients from 4 months to less than a month. This was achieved by reducing the scope of deliverables from data perspective in terms of providing the bare minimum needed to carry out analyst segmentations and also by automating standard segmentation codes. Show less

Led the engagement for new market Coop Norway from data perspective. • The quality of analysis delivered by dh to the client suffered from poor data owing to the fact that the client had no middle layer between data capture and supply to dh. To deal with this, led the “Bong Project” from dh data side which was about designing a data warehouse system for the client. All data was supposed to go through that layer before being sent over to dh.• Created design documents for the client… Show more Led the engagement for new market Coop Norway from data perspective. • The quality of analysis delivered by dh to the client suffered from poor data owing to the fact that the client had no middle layer between data capture and supply to dh. To deal with this, led the “Bong Project” from dh data side which was about designing a data warehouse system for the client. All data was supposed to go through that layer before being sent over to dh.• Created design documents for the client and presented them in onsite meetings in 2011 to advise them on creation of this data warehouse. The purpose of this was to tell them about the issues that existed with their data and how these should be resolved to get maximum value out of dh solutions. Show less