Feb 2022 – Feb 2023 · 1 yr · Bengaluru, Karnataka, India

• Working over to design Neural Engine which performs consumer choice modelling and identifies the next logical action/ offer for each customer at 100 M scale. Responsible for the end to end design and implementation of the engine including science and engineering.

Jun 2021 – Feb 2022 · 8 mos · Bangalore Urban, Karnataka, India

• Development and deployment of different neural network architectures like lstm, gru, dilated convolutions with embeddings for demand forecasting. End to end implementation of demand forecasting module using Argo for Millions of time series combinations. One of the Leader and mentor of the team sized more than 15 people

Jan 2020 – May 2021 · 1 yr 4 mos · Bengaluru Area, India

• Responsible for developing and deploying AutoML framework of Machine Learning and Deep Learning models to improve forecasting and planning at the most granular level for CPG/Retail firms

Jul 2019 – Jan 2020 · 6 mos · Bengaluru Area, India

• Customer choice models / Multiple level recommendation model -
• Model the customer purchase pattern to predict next logical purchase of the customer
• Model the store's item purchase pattern to predict customer preference of products for that store
• Forecasts at multiple levels (Demand and Supply) -
• Generate multiple level short term as well as long term demand/supply forecasts for planning and inventory
• Offer Personalisation serving multiple objectives -
• Calculate the optimal offers at a customer level given objectives like minimise burn, maximise revenue
• Elasticity based framework for optimising offers at customer level
• Product tagging-
• Designed neural network architecture for tagging orders into right product category

Jan 2019 – Jul 2019 · 6 mos

• Replenishment Analytics
• Excess Inventory, Out of Stock and Safety Stock prediction with root cause analysis to calculate optimal inventory for each merchandise store combination

Aug 2017 – Dec 2018 · 1 yr 4 mos

• Customer Analytics
• Build a framework to predict the next logical purchase of each customer so as to create customer smart list and learn customer choice models

Aug 2016 – Jul 2017 · 11 mos

• Pricing Analytics
• Compute self impact (Elasticity) and transfer impact (Halo & Cannibalisation) on volume sales with price changes to recommend optimal price of merchandises

Sep 2017 – Sep 2021 · 4 yrs · Bengaluru Area, India

• Mentoring professionals to help them get in depth know how of Data Science (ML/DL with Python) by assisting them with the designed course and completing 2 industrial scale end to end data science project. I am mentor for Data Science Career track with Machine Learning and Deep Learning with Python

Nov 2014 – Jul 2016 · 1 yr 8 mos · Bengaluru Area, India

• Personalised Marketing & Customer Analytics
• Performing customer segmentation across geographies and building propensity models to be able to design personalised campaigns. Measure the campaigns using statistical measures

Jul 2013 – Oct 2014 · 1 yr 3 mos

• Data Analysis