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  • IBM
  • Sacramento

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Ruparna25/README.md

Hi there 👋

  • My name is Ruparna Saha. Curretly working as Senior Data Analyst in IBM. I have an industry experience of 9+ years. Over my tenure, I have acquired expertise in different domains, namely Travel and Transport and Healthcare.

  • I am passionate about learning new technologies and looking forward to create a difference in Data Science community. Currently I am training myself in Deep Leanring and NLP models and gaining exposure by participating in multiple Kaggle competitions.

  • I am best reached via Email. I am also on 🐦Twitter, 👔LinkedIn

Pinned

  1. ChatBot_LSTM ChatBot_LSTM Public

    ChatBot trained on Cornell-Movie-Dailog dataset using TensorFlow. Models used are LSTm and Attention model

    Jupyter Notebook

  2. Image_Classification_CNN Image_Classification_CNN Public

    Image Classification using PyTorch. Model trained using Convolutional Neural Network

    Jupyter Notebook

  3. Product_Matching_Using_CNN Product_Matching_Using_CNN Public

    Product Matching using Shopee - Southeast Asia and Taiwan based grocery store. Model used are BERT for title matches and EfficientNet for Image Classification

    Python 2 1

  4. Sales_Forecast-Time_Series Sales_Forecast-Time_Series Public

    Sales Forecast on Shopee data. Model trained are ARIMA, LGBM, LSTM. LSTM model built using Tensorflow

    Jupyter Notebook 1

  5. search_relevance search_relevance Public

    Measure relevance of search result for CrowdFlower, an ecomerce site. Model trained was SVC

    Jupyter Notebook

  6. song_popularity_detection song_popularity_detection Public

    Discord_Kaggle_Challenge- Determining song popularity based on Spotify data. Model used SVC, KNN, XGBoost and LGBM

    Jupyter Notebook