I am data engineer by profession, who enjoys connecting the dots: be it ideas from different disciplines, people from different teams and groups , or applications from different industries. I have strong technical skills and an academic background in engineering, statistics, and machine learning. My passion lies in solving business problems with tailored data and algorithms and communicating complex ideas to non-technical stakeholders. I am able to jump across verticals to deliver high-performing AI solutions. In my graduate studies, I’ve taken on various leadership roles, including mentoring three undergraduate interns, coordinating institute-wide research events for hundreds of people, and leading one community groups. Proficient: ​ Python (Matplotlib, Seaborn, NumPy, Pandas), Excel) Knowledgeable: ​SQL, PostgreSQL, Web scraping, ETL Pipeline. Familiar: ​ NLP (Natural Language Processing)