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kavithacd/README.md

Konnichiwa!

My name is Kavitha Chetana Didugu. You can call me Chetana. I am a Data Scientist working on enterprise Data Science products. I love learning about the cutting edge research in ML, AI (Natural Language Processing), and Data Visualisation.

I have experience in:

Requirements Analysis | Prototyping | Data Analysis and Visualisation | Reporting | Analytics Consulting | Explainable AI | Chatbot Design | Gen AI | LLMs

I have domain knowledge in:

E-commerce Operations | Hyperlocal Online Foodservice Marketplaces | Revenue Management (Airlines, Hotels and Cargo) | Shipping Yard Operations

I’m currently working on:

Augmented Analytics and Conversational AI projects

I’m currently learning:

Pytorch, Django, Brython and React

I’m looking to collaborate on:

Supply Chain and Pricing Product Developement

Ask me about:

ML, AI, Product Management, Revenue Management, SQL, Excel, Python

Fun fact:

I love travel, food and languages. I can speak English, Hindi, Telugu, Kannada, French and Japanese. I'm learning Dutch, Spanish, Italian and Korean!

You can find me on LinkedIn:

linkedin

I pump out my learning in Youtube and Medium:

medium

You can reach me on other social sites:

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  1. Yard_Management_Solution Yard_Management_Solution Public

    A predictive yard optimisation model that consider dwell time uncertainty as well as re-allocation of blocking containers

    Jupyter Notebook 1

  2. Auto-Ticket-Assignment Auto-Ticket-Assignment Public

    Using NLP to build a text classification model for auto-ticket asisgnment problem

    Jupyter Notebook 1

  3. Tree_Lime Tree_Lime Public

    Forked from marcotcr/lime

    Lime: Explaining the predictions of any machine learning classifier

    JavaScript

  4. Sarcasm_Detection_Bidirectional_LSTM Sarcasm_Detection_Bidirectional_LSTM Public

    Using Bidirectional LSTMs to detect the sarcastic headlines from scraped data from two online newspapers

    Jupyter Notebook

  5. Restaurant_Rating_Suggestor Restaurant_Rating_Suggestor Public

    Creating a Restaurant Rating Suggestor based on the review text entered by the customer

    Jupyter Notebook

  6. Numerical-Image-Recognition-on-SVHN-Dataset Numerical-Image-Recognition-on-SVHN-Dataset Public

    Use of Dense Neural Networks to identify numerical images from SVHN dataset

    Jupyter Notebook