Statistics/ Machine Learning / Deep Learning. Interest Areas : Text, Images, Search relevance Word/Sentence/Document Embedding.
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NeuralNets_ImageClassifier_MNIST
February 13, 2018 – February 13, 2018
Train a 2-layer MLP neural network model to classify images from MNIST dataset.
View ProjectComputerVisions_PlantImageCountLeaf_Problem
January 6, 2018 – January 26, 2018
Count number of leaves in plat image - Computer Visions Problem Object detection
View ProjectTree_based_DS
September 27, 2017 – September 27, 2017
General DS Algo techniques using Trees
View ProjectSMS_Text_Classifier-Spam_or_Legitimate
September 22, 2017 – February 26, 2019
Classic Text classification problem to detect SPAM or Legitimate messages
View ProjectLSTM_Tensorflow_Seq2Seq_Model
August 9, 2017 – August 9, 2017
Implementation of simple Seq2Seq molel using Recurrent Neural Networks
View ProjectDataCollection_OnlineXML_to_Text
July 9, 2017 – July 9, 2017
Collecting Online data sets available in XML into text
View Projectwalmart_sales_forecasting_kaggle
July 5, 2017 – July 5, 2017
Walmart Sales Forecasting - Kaggle Challenge
View Projectimage_classifier_MNIST
July 4, 2017 – September 12, 2017
Classifying MNIST digits using Convolutional Neural Networks in TensorFlow
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong interest in data science and machine learning, aligning well with a Data Scientist role. The diversity of projects (image classification, text classification, sales forecasting, sequence models) indicates a broad curiosity and willingness to explore different domains within data science. However, all projects are personal, so there is no insight into collaboration or team dynamics.
Soft Skills & Operational Fit
The provided data is insufficient to assess soft skills or operational fit. The candidate's project descriptions are concise, but there is no information on collaboration, problem-solving approaches, or communication style in a team setting.