Pradyumna Majumder

About Pradyumna Majumder

Curiosity and passion drives me the most. In 2014, I have graduated from the University College Dublin (Ireland) with a Masters in Software Engineering. Recently, I have pursued another Masters in Distributed Systems and Data Mining at KTH Royal Institute, Stockholm (Sweden) in a dual degree program with the Technical University of Eindhoven (Netherlands). Having lived in four countries and two continents, I can confidently say that I bring a diverse set of knowledge and culture to the team/organization I work with. I am passionate about working with large amounts of data. I believe that data is the new fuel to our AI driven world at the moment. Glad to be a part of it.In my freetime I used to run a DJ gig at https://soundcloud.com/prady-mj. But now it is mostly about drumming.

Experience

1. Data Scientist and Machine Learning Engineer

   Kaufland e-commerce

   Sep 2020 — Present · Köln, DE

   Data Science in E-commerce & Infrastructure Fraud Detection Service- Developed and deployed a fraud detection system for identifying fraudulent reviews and activities in e-commerce platforms.Managed the entire lifecycle, from inception to production, within a Kubernetes cluster using Helm, Docker, and GitLab CI/CD pipelines.Implemented a scoring system to monitor seller behavior over time, generating alerts or canceling clients based on activity patterns. Customer Satisfaction and App Review Classification- Built a machine learning solution to classify customer satisfaction and app reviews (iOS and Android) into 20+ categories using transformer models.Led the project from initial development to production deployment on Kubernetes, integrated with Helm, Docker, and GitLab CI/CD pipelines.Automated daily processing with Datadog monitoring and Tableau dashboards, providing actionable insights for management. Text & Image Processing System- Designed a scalable service to process millions of images weekly, extracting text and identifying inappropriate content.Utilized Kubernetes\' Indexed Jobs to parallelize tasks across multiple pods, optimizing speed and scalability.Integrated Kafka for automated content blocking and BigQuery for data storage, ensuring compliance with content policies.🧑‍ Infrastructure and Central Repository Contribution- Contributed to the development and maintenance of central repositories for reusable engineering and data science services.Streamlining of production deployment processes and facilitated cross-team collaboration through centralized resources.

Education

• University College Dublin

  Master of Science (MSc), Computer Science

  2013 — 2014

• Institute Of Engineering and Management

  Bachelors of Technology, Information Technology

  2008 — 2012

• KTH Royal Institute of Technology

  Master of Science (MSc), Data Science

  2017 — 2018

• Eindhoven University of Technology

  Master of Science (MSc), Data Science

  2016 — 2017

Skills

• Android
• Computer Science
• Phpmyadmin
• Linux
• Css
• Mysql
• Machine Learning
• Programming
• Scikit-Learn
• Cron Server
• Core Java
• Android Development
• Data Analysis
• Agile
• Data Mining
• Cloud Computing
• Tensorflow
• Java
• Ruby
• Sas
• Disco
• Deep Learning
• Eclipse
• Pandas
• Codeigniter
• Bigquery
• Apache Hadoop
• Keras
• Php
• Word2vec
• Javascript
• Unix Shell Scripting
• Python
• Scrum
• Tableau
• Java Enterprise Edition
• Unix
• Statistics
• Opencv
• Html