I am an aspiring data scientist who enjoys connecting the dots: be it ideas from different disciplines, people from different teams, 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. I can work on various types of data and various tools.
In my graduate studies, I’ve taken on various leadership roles, including coordinating institute-wide research events for hundreds of people and managing two international workshop conferences. In my master's, I've undergone important unprobed research of segregating images as selfies through convolution neural networks. I completed master's in 2020 and I'm interested in full-time data science or machine learning roles. Please feel free to get in touch with me via email at [login to view URL].
Proficient: Python {Numpy, Pandas, Matplotlib, Seaborn, Scikit-Learn, Tenserflow}, MIcrosoft PowerBI, Tableau, Microsoft Office {Excel, Powerpoint, Word}.
Knowledgeable: SQL, R, Digital Marketing {SEO, SMM, PPC}, NLP (Natural Language Processing), Corel Draw, Weka.
Familiar: C, HTML, CSS, JavaScript, ReactJs, Cybersecurit, SQLITE, Android.
LinkedIn: [login to view URL]