Responsibilities & achievements

Machine Learning: Classification Models, Regression Models, Clustering, Dimensionality Reduction. ▪ Deep Learning: Deep Neural Network (DNN), Convolutional Neural Networks (CNN), Recurrents Neural Networks (RNN), Long/Short Term Memory (LSTM), Autoencoder. ▪ Natural Language Processing: Named Entity Recognition (NER), Tokenization, Stemming and Lemmatization, Bag of Words, Text Summarization, Text Classification, Sentence Similarity, Sentiment Analysis, and Keywords extraction, Transformers (Bert, Hugging Face), Question and Answer (BERT). Company Name: Freelancer Position: Machine Learning Engineer Project: Job Location: Venezuela Start Date: April 2022 End Date: Current 1 ▪ Computer Vision: Image Processing. ▪ Data Science: EDA, Experiments, p-value, Confident Intervals, Hypothesis, AB-Testing. ▪ SQL and PySpark (ETL). Libraries and languages: ▪ Python, R, C, Tensorflow, Scikit-learn, Keras, Spacy, NLTK, XGBoost, Scipy, BERT, Gemsim, OpenCV, Skimage, Numpy, Pandas, Matplotlib, Seaborn, Scipy, Git, Jupyter. Cloud services: ▪ AWS: Glue, Data Wrangler, Athena, Clarify, Sage Maker, Auto-ML, endpoint, EC2, S3. ▪ Knowledge about Google Cloud

Responsibilities & achievements

Creation, monitoring, and maintenance of NLP systems with Machine Learning and Deep Learning models for people recruitment. ▪ Use of AWS tools for Ingest, analysis, preparation, and transformation: Glue, AWS Data Wrangler, AWS Athena, and AWS Clarify. Train and tune: AWS Sage Maker, AWS Auto ML-Autopilot (AWS CLI, AWS SDK). Deploy and manage: endpoint and others like EC2, S3, Machine Learning Pipeline, and Deployment of models through the API.