Actively involved in optimizing and supporting all systemic inventory replenishment for Home Depot using data science tools and techniques. Owner of Core and SDC ASL pillar of IPR at The Home Depot which drives more than $12B revenue. Responsible to drive business growth by proactively engaging with product team, IT team and other cross functional setup for experimentation, validation, and execution• Implemented a non-parametric statistical method to determine input history, reducing… Show more Actively involved in optimizing and supporting all systemic inventory replenishment for Home Depot using data science tools and techniques. Owner of Core and SDC ASL pillar of IPR at The Home Depot which drives more than $12B revenue. Responsible to drive business growth by proactively engaging with product team, IT team and other cross functional setup for experimentation, validation, and execution• Implemented a non-parametric statistical method to determine input history, reducing inventory top up value by $100 million• Maintained and improved WoW (Store) inventory change root cause analysis dashboard in tableau, which improved the action time by 30%• Actively engaged in validating and piloting Omni-Channel Lead Time project for multiple flow paths, hence unifying multiple applications for replenishment at Home Depot DCs and stores• Built a process in Google Cloud Big Query, which captures historical snapshots of ASL parm to facilitate quick visibility to issues concerning both stores and DCs• Led a deep dive analysis of SDC ASL due to import pressure, which reduced the active inventory holding by $120 million• Designed outlier detection system for ASL input(demand), which improved input data accuracy by 40% Show less

Implementation of smart thermostat using deep learning• Independently spearheading a project aimed at devising smart thermostat using LSTM, sequential modeling and reinforcement learning to save energy consumption by 20%• Scripted SQL queries to retrieve data from a Linux server hosted at client end• Created, hosted and presented a visualization dashboard for client using dash and plotly in python

Implementation of predictive analytics, forecasting and statistical analysis.• Independently spearheaded 3 projects and performed analysis of data to proactively deliver insights to clients• Developed an open-source package ‘DSWE’ using git and version control to exceed the client expectations• Architected ETL pipeline for large dataset utilizing Python and SQL which reduced the data flow time by 30%• Implemented predictive analytics and time series forecasting to predict… Show more Implementation of predictive analytics, forecasting and statistical analysis.• Independently spearheaded 3 projects and performed analysis of data to proactively deliver insights to clients• Developed an open-source package ‘DSWE’ using git and version control to exceed the client expectations• Architected ETL pipeline for large dataset utilizing Python and SQL which reduced the data flow time by 30%• Implemented predictive analytics and time series forecasting to predict future power generation, hence reduced energy loss by 20%• Experimented equipment performance quantification using statistical techniques, which saved investment worth $1M• Optimized the statistical analysis using cluster and bash script in Linux, hence gained ‘20 fold’ speed Show less

Implementation of optimization, forecasting, predictive analytics and statistical analysis in operations setting: production, quality and supply chain• Facilitated meetings with key leaders and collaborated with project teams to ensure timely decision-making and effective communication between project stakeholders at all levels• Lead a team of 5 to reduce the overall inventory cost from $30 million to $20 million using root cause analysis, optimization and machine learning-risk… Show more Implementation of optimization, forecasting, predictive analytics and statistical analysis in operations setting: production, quality and supply chain• Facilitated meetings with key leaders and collaborated with project teams to ensure timely decision-making and effective communication between project stakeholders at all levels• Lead a team of 5 to reduce the overall inventory cost from $30 million to $20 million using root cause analysis, optimization and machine learning-risk analytics • Cross functional engagement with quality team to improve the product quality using statistical technique: PCA leading to 10% increase in throughput• Leveraged marketing data and analyzed customer segmentation using python leading to 5% increase in market share• Developed, administered and maintained training documentation and acted as central point of contact on use of software tools and procedure• Designed a visualization dashboard in Tableau to analyze and monitor operations KPIs in real time Show less