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Ankit Singh

M.Sc. Data analytics, University of Hildesheim

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Kühne + Nagel

  • Working on Business partner master data project for deduplicating customer data.

Streem.ai

  • Built a platform for Anomaly detection in sensor data for predictive maintenance and early error detection.
  • Used Kubeflow to build ETL and ML model training pipelines.
  • Managed ETL and inference endpoints for multiple clients and communicated their needs that helped develop the product

Cauliflower.ai

  • Sentiment analysis on reviews and dashboarding.
  • Trained generative models (BERT) for customer entity recognition for aspect based sentiment analysis.

Lab1866 Daimler, Berlin

  • Trained and deployed a Neural Network for automatic damage evaluation based on past damage repair bills for Mercedes Cars.

Tool support manager (Werkstudent), Robert Bosch Car Multimedia Gmbh, Hildesheim

  • Working student, developed an ETL pipeline for loading bulk data into RQM automation tool
Python Kubernetes AWS Deep Learning Airflow SQL

Deep RL Game Agent

Experimental agents trained using Reinforcement Learning for classic games.

Document OCR Intelligence

Extraction tool for unstructured images from my M.Sc. thesis.

Sentiment-as-a-Service

Minimalist API wrapper for HuggingFace Transformers.