Jun 2020 – Mar 2022 · 1 yr 9 mos · United States

• Team : Merchants and Facilities Tech, Manufacturing Tech (Supply Chain)
• Designed & Implemented a Mixed-Integer-Programming optimizer model to predict optimal no and types of raw material to be procured for 2 years which resulted in 12% improvement in fill rate.
• Designed and deployed dynamic inventory models as APIs for strategy teams to allocate no of raw materials to customers based on customer’s ranking and considering constraints of cost of other raw materials to be purchased and sales order.
• Supported as a ML engineer to build an experimentation engine scalable to other manufacturing plants by configuring constraints like store no, bill of materials, yield, materials to run scenario analysis to help supply chain managers for inbound planning.
• Implemented a tree-based model to estimate machine time per weight for a process order based on day of week and line. Developed a regression model to predict how long can a downtime occur for based on OEE data.
• Working on implementing an Genetic Algorithm based optimizer model to generate optimal production schedules considering inventory, machines, labor shifts and set up times, change over times and machine downtimes.

Jun 2019 – Aug 2019 · 2 mos · United States

• Team : Global Business Services, Digital Solutions.
• Worked on setting up IoT connectivity for the shop-floor machines to configure real-time data.
• Developed a network graph to visualize the current state of interconnected systems and to be able to perform root cause analysis in the network in case of any failure or invalid data.
• Persisting the data in SQL and (Azure) & developed RESTful web services to project real-time visualization of machine's running indicators like temperature, speed etc.
• Developed a KPI object to visualize the trend for overall equipment effectiveness in real-time.
• PoC : Worked on time-series forecasting.

Aug 2019 – May 2020 · 9 mos · Greater Los Angeles Area

• ITP - 449 (Applications of Machine Learning) Spring 2020
• ITP 422 - Configuration of ERP Systems - (Fall 2019 - Spring 2020)
• Holding lab hours for students.
• Developing & Grading assignments.

Jan 2019 – Apr 2019 · 3 mos · Greater Los Angeles Area

• o Built a framework to help to regulate visitor flow in the Singapore Art Gallery on the geo-spatial data.
• o Implemented ML models (with the best one being LSTM with test error of 0.3) for the trajectory prediction.
• o Compared and implemented clustering algorithms (KMeans worked the best)to detect the hot-spots(place of common interests).
• o Built a recommendation systems where the gallery could strategically place the arts to attract more customers.
• Skills : Data Visualization (Tableau, D3.js) ML (Scikit-Learn/Tensorflow/Keras/Python) Lean Six Sigma, DMAIC, Product Management.

Nov 2018 – Apr 2019 · 5 mos · Greater Los Angeles Area

• 1. Leveraged trained models (e.g., a model training on the COCO dataset that contains several objects) for understanding the common objects in the analyzing image using Tensorflow.
• 2. Implemented transfer learning (i.e., customize a pre-trained model (e.g., a model training on the COCO dataset) for optimizing the model for detecting the custom shaped models using Mask-RCNN in Python under Professor Seon Ho Kim, Associate Director of IMSC, USC.
• Mask R-CNN for Object Detection and Segmentation using Python 3, Keras, and TensorFlow.

Jun 2016 – Jun 2018 · 2 yrs · Bengaluru Area, India

• Product & Innovation S4HANA Cloud Foundation, Data Process and Intelligence.
• SAP Catalyst - October 2017, - June, 2018
• Responsibilities:
• Built library to display connected business documents in graphical form to visualize process & document flow
• Implemented a cloud application for business objects to verify & ensure CQ standards based on MVC
• architecture and code deployment using Maven and Jenkins.
• Implemented transport requests (pipelining data transfer) from client to different servers(SAP systems)) from UI
• Configured various inbound and outbound services for B2B and E2E scenarios for data exchange and integration
• Studied SAP Clea(Machine Learning platform) for brand intelligence and customer retention insights
• Devised a smart business application based on publish-subscribe pattern for data synchronization.
• Formed a framework for pull notifications to capture statistics of event feed related to changes in BO.
• Deployed a cloud extension app in Java on cloud foundry in SAP Cloud Platform
• PoC : Document Classifier using Python
• Tech Stack : Java, Python, SAP Hana, Rest APIs, Odata Modelling, SAP CLoud Platform, CloudFoundry, Microservices, SAP PAI, SAP BOPF, SAP BRF, Fiori, Jenkins, Maven , Version Control, Cloud Application Development

May 2015 – Jul 2015 · 2 mos · Mumbai

• 1. Automated data quality review checks and batch runs for risk data to minimize risk areas resulting in reduction in man hours.
• 2. Managed ETL & formulate queries and scripts to generate various exceptions and rule management
• services to automate BAU checks.
• 3. Performed Data staging and preprocessing to ensure high quality data for risk metrics.

Aug 2014 – Oct 2014 · 2 mos

• Market Research
• Marketing Automation using Facebook Graph API and Twitter API
• Content Creation and Propagation
• Growth Hacking