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followers: 21.0 following: 12.0 repos: 76.0 gists: 0.0

Name: Ashutosh Kumar

Type: User

Company: @thomsonreuters @Volkswagen @ascena @Tesco @TechMahindra

Bio: Python, SQL, LLM, Data Science, Neural Networks, AI, ML, Spark, Hive, Hadoop, MLOps, Deployment, Java, Micro Services, UNIX, PL-SQL, C/Pro-C, Oracle

Location: Bangalore

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Hi there 👋

I am Ashutosh Kumar currently working as Senior Data Scientist @ Thomson Reuters. I am an Experienced Data Scientist with a demonstrated history of working in the information technology and services industry. Skilled in SQL, Python, Machine Learning, Tableau, Big Data to name a few tech. Strong engineering professional with a Master of Science(MSc) degree focused in Data Science from Liverpool John Moores University.

⚡ About Me

  • 🔭 I’m currently working as Senior Data Scientist @ Thomson Reuters
  • 🌱 I’m currently learning DevOps and Data Engineering
  • 👯 I’m looking to collaborate on open source/commercial projects
  • 💬 Ask me about Machine Learning and Data Science
  • 📫 How to reach me:
    github linkedin instagram stackoverflow

⚡ My GitHub Statistics

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⚡ Current Profile Visitor Count

Last Edited on: 26/10/2021

Ashutosh Kumar's Projects

text-clustering-api icon text-clustering-api

Implementation of a text clustering algorithm using K-Means clustering in order to derive quick insights from unstructured text. Deployment using Docker and Flask API.

timeseries-inventory-forecasting icon timeseries-inventory-forecasting

Time Series forecasting model for predicting the unit’s movement of the inventory in the warehouses and stores in order to do capacity planning and prepare for peak volume at the granularity level of week/channel/location.

topic_modelling_lda icon topic_modelling_lda

We will do topic modelling using the gensim implementation of Latent Dirichlet Allocation for varieties of open source text datasets,

uber-demand-supply-case-study icon uber-demand-supply-case-study

The aim of analysis is to identify the root cause of the problem (i.e. cancellation and non-availability of cars) and recommend ways to improve the situation. As a result of your analysis, you should be able to present to the client the root cause(s) and possible hypotheses of the problem(s) and recommend ways to improve them.

virtualtryon icon virtualtryon

This basic app uses OpenCV and Python libraries for virtual apparel Try-On

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