Position: Data Scientist / Machine Learning Engineer
Category: Data Science
English level: upper
Years of experience: 3

As a Machine Learning Engineer, I worked on the development of a DeFi protocol that serves as a safety net for cryptocurrency investors. Our protocol was designed to protect investors from significant losses during market crashes while also providing an opportunity to profit from market pumps. One of my primary responsibilities was building a NLP model to analyze the overall sentiment of the crypto market. The NLP model was a crucial component of our protocol, as it allowed us to predict market trends accurately and adjust our protocol engine. I also collaborated with a team of developers and data scientists to ensure the smooth integration of the NLP model into the larger DeFi protocol.

I leveraged my expertise in machine learning, deep learning, and NLP, including building NLP transformer models like BERT and RoBERTa using TensorFlow, PyTorch, and Hugging Face, and working with NLP tools such as spaCy, NLTK, Scikit-learn, CuML, Hunspell, Pandas, and NumPy. My problem-solving skills, attention to detail, and passion for a fast-paced, collaborative environment were essential to my success as a Machine Learning Engineer. I also had excellent communication skills, enabling me to communicate complex technical concepts to non-technical stakeholders and work with cross-functional teams.

Besides my technical skills, I also had strong data analysis skills, including data preprocessing, cleaning, and visualization, and was comfortable working with large datasets, such as financial and social media data, using tools like Pandas and SQL. I was a quick learner, adaptable, and able to work both independently and as part of a team. My NLP expertise and these skills make me a desirable candidate for any company looking for a skilled Machine Learning Engineer focused on NLP.
As an experienced Software Engineer with a Master's degree in Computer Science, I possess a strong technical background and expertise in NLP and Transformers. With a results-driven mindset and a commitment to meeting deadlines, I excel at solving challenging problems and continuously improving my skills.

My expertise in NLP and experience with Transformers allows me to derive valuable insights from unstructured data and create effective data-driven solutions to complex business problems. I am proficient in NLP techniques such as sentiment analysis, named entity recognition, and topic modeling, as well as machine learning algorithms including regression, classification, and clustering.

Additionally, I am highly skilled in Python programming and machine learning libraries such as TensorFlow and PyTorch. With my technical skills and passion for Machine Learning, I am confident in my ability to contribute to any project that requires NLP expertise.
I am looking for an interesting project that will fascinate me, and in which I can prove myself.