Pallab Hazarika

About Pallab Hazarika

I am working as a Software Engineer in Product Positioning and Planning domain in Supply Chain Technology organization at Wayfair. I have worked on the following domains- Supply Chain Forecasting- Machine Learning Model Training and Deployment Pipelines- Recommendation Systems, Personalization- Customer Segmentation and Targeting- Anomaly detection and Time Series Forecasting- Data Infrastructure EngineeringMy areas of interest are as follows- Design and Implementation of Distributed Software Systems- Design and development of Machine Learning frameworks for training and inference- Application of Statistical and Machine Learning algorithms in Recommendation Systems, Personalization, Product growth, Anomaly Detection, demand forecasting- Information Retrieval, Search System Design and Natural Language ProcessingProficient SkillsLanguages: PythonDatabases: SQL, MS SQL ServerOperating Systems: Ubuntu, AIX, WindowsTools: Git, Scikit-learn, Pandas, NumpyBeginner to Moderate SkillsLanguages: C++, PHP, Python, Javascript, HTMLDeep Learning Frameworks: TensorFlow, KerasBig Data: Hadoop, Hive, Spark, Map Reduce, Cloud Technologies: Google Cloud Platform, DataProc, DataFlow, BigQuery, Apache Beam

Experience

1. Senior Engineer - Product Positioning and Optimization

   Wayfair

   Jan 2024 — Present · Boston, MA, US

   Migrated distance calculation between supplier factory and Wayfair warehouses for inbound induction from Kafka streams to API methodology thereby Improved the reliability of the pipeline by deprecation of Kafka streams, SQL databases and dependency on external teams-> Rearchitected a business critical inbound shipment ETA prediction model using Python, Kubernetes, BigQuery and Google Cloud Storage to reduce the data issues by 99 percent (On Average every day there was a Pagerduty alert on the model output) and increased the reliability of the model output and adherence-> Spearheaded the completion and deployment of strategic use case of labor planning optimization model. This helped the Operations team in their experimentation efforts for labor planning for longer forecast horizons.

Education

• Motilal Nehru National Institute Of Technology

  Bachelor of Technology (BTech), Computer Science and Engineering

• The University of Texas at Dallas

  Master’s Degree, Computer Science

• Cotton College

  Secondary Education, Science

Skills

• Enterprise Software
• Oop
• Multithreading
• Websphere Message Broker
• Node.js
• Esb
• Android
• Machine Learning
• Eclipse
• Natural Language Processing
• Javascript
• C, C++,Java, Sql, Mysql, Oracle, Aix, Ubuntu, Windows, Hadoop, Mapreduce
• C++
• Unix
• Xml
• Sql
• Openstack
• C
• Java
• Amazon Web Services (Aws)
• Nutch
• Integration
• Weka