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@naitikdodia
Drapeau de India Gurrugram, India
Membre depuis le 20 juillet 2018
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naitikdodia

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I have experience in Computer vision (CNN, Inception-v3, YOLO, ResNet), NLP (LDA, NER, LSTM) and Regression models (Random Forests, XGBoost)
$4 USD/hr
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Expérience

Software Development Engineer - Machine Learning

Jul 2019

Automated Property Price Estimation (AVM): A regression engine for prediction of rental prices for customer buyback experience. ∗ Data preparation, cleaning and outlier removal. ∗ Trained and tuned Random Forests and XGBoost models for better price prediction. ∗ Production API using Flask and MySQL.

Machine Learning Engineer - Intern

Jan 2019 - Jun 2019 (5 months)

Image Auto Live: A computer vision model to automate the process of accepting/rejecting the images uploaded on the platform. ∗ Classifier using InceptionV3 with transfer learning techniques to achieve 95% accuracy and ∼98% top-2 accuracy on test set. ∗ ResNet50 based binary classifier to detect if an image is blurred or not. ∗ Logo Detector by synthetically training an object detector (RetinaNet). ∗ Synthetic data generator for Logo Detector.

Software Engineering Intern

May 2018 - Jul 2018 (2 months)

Phrase search suggestion: Implemented a fully knowledge based phrase recommendation engine. ∗ Trained word2vec for vectorization of tokens. ∗ Clustering (K-means and HDBScan) of documents based on averaging of word vectors for documents. ∗ Topic modelling using Latent Dirichlet Allocation (LDA)

Éducation

Honors in Information and Communication Technology with minor in Computational Science

2015 - 2019 (4 years)

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