🧑🏻‍🎓Graduate Student in Data Analytics Engineering at Northeastern University, Boston. I am currently in my third semester - Always up & Super passionate to learn about new technologies and everything else :) 🚀 Leading innovation in social media and networking with Finder @ Social 📲 to make the world a better place. 🚀 Advancing Autism healthcare through Data Science and AI engineering at Autism Health 🧬. Dedicated to creating impactful technological solutions and fostering a sustainable, healthier future 🌍🌱. 🧑🏻‍💻 I’m interested in pursuing internships/co-ops in the domains of Data Science, Machine Learning, Artificial Intelligence, Data Analytics, and Business Analytics. 🏆 Have exceptional Data Mining, Computation and Visualization, and Operations Research knowledge. 🏅 Bringing expertise in strong interpersonal, and networking skills, effective negotiation, and extraordinary oral communication honed through 3 years of dynamic leadership experience as the publicity head of our student-led club "GUSAC(GITAM University Science and Activity Center)", Led our CSE branch cricket team as a Team Captain and won the champions trophy during my sophomore year, and was a Startup founder of my venture, "Finder Social" and secretary of our Entrepreneurship Development Cell student organization, and Vice President of IEEE Club during my undergraduate studies at GITAM University. 🌎 I believe in giving back to the community and making the community better in turn making the world a better place - I have led and volunteered for our NSS student body to conduct events where we taught digital skills to underprivileged children and provided them with free education, and tools that they need at free of cost. I am volunteering as a Volunteer Mentor at You're with Us, to give back to our community in Boston, USA. Exhibiting proficiency in directing and inspiring teams towards attaining corporate objectives, whilst cultivating a constructive team dynamic and culture. 🌟TECHNICAL SKILLS: 🎖Programming - C, Java, C++, SQL, Python, HTML, CSS 🎖Machine Learning Libraries - Pandas, Numpy, matplotlib 🎖Analysis Tools - Tableau, Microsoft Excel, Microsoft PowerPoint, Google Analytics 🎖Business Intelligence Tools - Tableau, ER/Studio 🎖Machine Learning/ Deep Learning - Supervised Learning (Linear Regression, Logistic Regression, Decision Trees, Random Forests, SVM), Unsupervised Learning (Clustering), Deep Learning (RNNs) 👋 If you’d like to know more, reach out to me at ramoju.s@northeastern.edu