Position: Data Scientist
Category: Data Science
English level: upper
Years of experience: 1


As a Machine Learning Engineer at company, I have gained valuable experience and skills that make me well-suited for a Junior Data Scientist role. Over the course of my tenure, I have worked on various projects and successfully tackled different tasks using my expertise in Python programming, machine learning, and deep learning.

In terms of Python programming, I possess a strong foundation in the language and object-oriented programming (OOP) principles. Additionally, I have extensive experience working with popular data analysis libraries such as NumPy, pandas, scikit-learn, matplotlib, and scipy. These libraries have been instrumental in my data analysis and modeling tasks.

In the realm of machine learning, I have completed relevant courses and applied my skills in practical settings during my time at company. I am proficient in building regression models including Linear, Ridge, Lasso regressions, Support Vector Machines (SVM), and Decision Trees. For classification tasks, I have expertise in Logistic Regression, SVM, Decision Trees, and K-Nearest Neighbors (K-NN) models.

My deep learning experience primarily revolves around computer vision (CV) and natural language processing (NLP) tasks. I have successfully tackled tasks such as image classification, object detection, speech recognition, and simple generative models. While my primary frameworks for deep learning tasks have been TensorFlow and Keras, I have also experimented with PyTorch.

During my time at company, I have made significant contributions to various projects. For example, I worked on an add-on that converts user's emails into Jira Tasks. In this project, we utilized external open-source models for user input preprocessing and developed our own system to convert the information into Jira tasks. Additionally, I was involved in an add-on that converts users' questions into a query format. We fine-tuned an existing model to convert natural language queries into a structured query format. Furthermore, I played a key role in dataset preparation, processing, and normalization for numerous NLP solutions developed by our company.
Overall, my experience as a Machine Learning Engineer at my company, coupled with my proficiency in Python programming, machine learning, and deep learning, make me a strong candidate for a Junior Data Scientist role. I am eager to apply my skills and contribute to new projects in this field.