Position: NLP engineer / Computational Linguist
Category: Data Science
English level: fluent
Years of experience: 0.5


I’m an English teacher transitioning into an NLP engineer role after completing an ‘NLP-beginning’ course, where I’ve gained hands-on experience with data preprocessing and information extraction, as well as a theoretical basis of supervised vs unsupervised ML, including classic NLP pipeline (data collection, labelling, preprocessing, feature engineering, topic modelling, text classification, clustering techniques, quality metrics of a model.
As a final project, I have developed a simple FAQ chatbot using RASA which can help potential clients navigate through the company’s website, gives information on FAQ, and saves user’s contact details.

My non-commercial experience includes a pet project, focused on developing NLP models for Topic Classification and Sentiment Analysis. In this project, I’ve tested unsupervised ML methods such as topic modelling and clustering to get ready for human annotation. The following steps included training models for binary and multilabel classifications (using Naive Bayes, SVM,  Logistic Regression, and One-vs-the-rest methods), evaluating the prediction results, and dealing with data imbalance.
At the moment I’m looking for a junior/trainee NLP engineer/Computational Linguist position where I could apply my knowledge and skills and grow as a professional. 

I’d like to apply NLP techniques/technologies while completing:
- data analysis;
- text preprocessing;
- data extraction and validation;
- text generation;
- classification;
- designing, building and maintaining chatbots.

I’m open to working on a wide range of projects which include:
- optimizing customer support response;
- prioritising issues by their urgency;
- improving user’s writing; 
- analysing customer behaviour to tackle weak spots and improve services;
- developing better recommendation engines to encourage;
- building chatbots and creating conversation flows for different purposes. 

What is highly important for me in a workplace is the opportunity to gain hands-on experience by completing tasks individually as well as by collaborating with more experienced colleagues. 
I’m looking for a company which encourages continuous learning and participation in various hackathons and conferences.