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  • Bangalore, Karnataka
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ykmanoj/README.md

  • 👋 Hi, I’m Manoj Kumar Yadav

  • 👀 I’m interested in Machine Leanrning, Deep Learning, Natural Language Processing and Bigdata based AI Product design devlopment.

  • 🌱 I’m currently learning Language base Modeling Technique: Transformer, BERT, ROBERTa and other related Natural language processing approach.

  • 💞️ I’m looking to collaborate on ML/AI enthusiast, Leader as well as Job opportunity in these Area.

  • 📫 How to reach me ...email: [email protected], mobile: +917259111604

  • Learning & RESEARCH PROJECT

  • BERT/Roerta - Fine Tuning for COVID data

  • LSTM based Sequence classification to identify Fake News

  • RARE Failure prediction using Machine sensor Data

  • Solving class imbalance problem using deep generative model

  • Hybrid approach of GAN and VAE

  • Sentence to SQL : language Translation, Deep learning

  • X-ray image to identify disease : Image pre-processing/augmentation

  • Gesture Recognition: TV remote control gesture recognition. Image processing

  • Inventory Management: Reinforcement Learning

  • Loan Defaulter Prediction

  • Telcom Churn

  • Resturant Based ChatBot

KEY SKILLS & EXPERTISE • Proficient in Machine learning, NLP, Deep Learning and Data science concept • Supervised/unsupervised algorithm: Classification, Regression, Boosting, PCA, SVD, Cluster. • Natural language processing: Semantic, NLU, Information extraction, Word Embedding, Glove, BERT. • Deep learning: RNN, LSTM, Encoder-Decoder, Deep Generative mode (GAN, VAE). • Programming Experience: Python, Keras, Tensorflow, Pyspark, R, Java and Hadoop Ecosystem. • Database Experience: Oracle, SQL Server, No-Sql Database Hive, Hbase etc • Project Management Tool: Git, Jira, Maven, Anaconda, Jenkins, Agile • Deployment: Kubernetes, Hadoop platform, PCF, Docker • Design and build scalable architecture application development.

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  1. APS-GAN-CGAN-WGAN APS-GAN-CGAN-WGAN Public

    APS failure- Comparision of GAN , CGAN and WGAN

    Jupyter Notebook

  2. Machine-Learning-Case-Study Machine-Learning-Case-Study Public

    Learn and Practice Machine learning concepts

    Jupyter Notebook

  3. rare-failure-prediction-using-deep-generative-model rare-failure-prediction-using-deep-generative-model Public

    Python

  4. sequence_classification_news sequence_classification_news Public

    Jupyter Notebook

  5. Loan-Defaulter-Prediction-Machine-Learning Loan-Defaulter-Prediction-Machine-Learning Public

    Forked from avannaldas/Loan-Defaulter-Prediction-Machine-Learning

    Prediction of loan defaulter based on more than 5L records using Python, Numpy, Pandas and XGBoost

    Jupyter Notebook

  6. ML_Kubeflow_RUL_prediction ML_Kubeflow_RUL_prediction Public

    Python