As a Computer Science graduate with a passion for data, visualization, and statistics, I'm excited to bring my skills and knowledge to a new opportunity in Analytics, preferably as a Data Analyst or Data scientist.In addition to my professional experience, I've worked on several projects to build my skills and expand my knowledge in the field of data science. These include face recognition using Python and OpenCV, visualizing gender-specific tweets with ScatterText, and building a customer churn model using logistic regression, classification trees, XG Boost, and random forest.Currently working with Ignitus. Passionate about revolutionizing remote and asynchronous learning, I am actively involved in the collaborative development of the Ignitus LMS (Learning Management System) from scratch. With a focus on the corporate market, our goal is to deliver a user-friendly and marketable product that surpasses existing LMS offerings in the higher education sector.As a contributor, I work alongside multidisciplinary teams, including content creators, developers, and UI/UX designers, to build the Ignitus LMS. This ambitious project entails essential components such as course management, teaching materials display, self-assessment quizzes, and comprehensive reporting capabilities. Our top priority is to enhance the learner's experience through an intuitive user interface, mobile accessibility, blended learning approaches, seamless integrations, surveys, and regular updates.My technical skills include proficiency in programming languages such as Python, SQL, and R, as well as frameworks and libraries including Sklearn, Numpy, Pandas, Matplotlib, Seaborn, NLTK, TensorFlow, and PyTorch. I also have experience working with tools and applications such as Pycharm, JupyterLab, Tableau, Power BI, and Apache Spark, and have worked with databases including AWS Redshift and Databricks.I'm eager to bring my passion for data analysis and visualization to a new opportunity, and to continue developing my skills in a collaborative and innovative environment.