I am a first-generation immigrant and a proud representative of the super minority community in the USA. My journey involves empowering students to unlock their potential, navigating the dynamic worlds of Digital Marketing and Data Science, and exploring the limitless possibilities of education and entertainment.
Explore my worldExplore my professional journey in various domains.
My data science journey began with The Knowledge House's immersive 400+ hour project-based curriculum, sparking my passion for extracting insights from data. I honed skills in Python, statistical analysis, data visualization, and handling large datasets. Developing proficiency in SQL, Tableau, NumPy, pandas, and scikit-learn, I applied advanced techniques like regression, clustering, ANOVA, time series analyses, and both unsupervised and supervised machine learning algorithms. During the program, I worked on over 10 projects that increased my skills in data science and helped me become a rising data scientist professional.
I am well-equipped to tackle complex data challenges, extract valuable insights, and drive impactful data-driven strategies.
I began my career at Borough of Manhattan Community College, providing guidance to students, helping them understand and love Math. Later, I advanced to become a pre-college advisor at both Guttman Community College and New York City College of Technology. Currently, I focus on supporting incoming freshmen students at Guttman CC, where I assist with their transition to college through the Math Start program. Additionally, I prepare high schoolers for college readiness via a 12-week self-developed workshop series called “Intro to Planning and Success in College.” This initiative is part of both the FRNYC and College Now programs at CUNY.
Through tutoring, advising, and FYS, I hope to contribute to the great change in higher education.
My path in marketing began with the iconic "Yang for NY" campaign, where I honed traditional marketing skills. At Stanford Startup called Schmooze Dating, I dived into app marketing and influencer campaigns, boosting awareness and sign-ups. Kepler Academy and COOP Careers were transformative experiences that elevated my expertise. COOP's project-based learning fueled my creativity, challenging me to develop innovative marketing campaigns. At Kepler Academy, I tackled real-world challenges, honing my skills in digital marketing trends, data analysis, and audience targeting.
Through both traditional and digital marketing, I'm ready to use my skills to promote positive social impact and ethical brand messaging.
Presented projects highlight my proud journey and growing expertise in Data Science.
This project creates a song recommendation algorithm using K-Means unsupervised model, analyzing songs from 1950 to 2019. Future steps include Word2Vec model, and deploy on AWS and Telegram.
This project using the Random Forest machine learning algorithm to detect fraud transactions in a dataset of bank dataset, although it occasionally faced challenges in accurately identifying fraudulent cases.
This Python code encrypts and decrypts messages by using ASCII table, handling large keys but varying in encoded messages. Could be improved and deployed as Telegram bot.
This Python script brings PvP Blackjack to your command line, featuring traditional rules and dynamic gameplay. Future plans include optimization and a Telegram bot version.
Project examines the impact of outside school factors on academic performance. It involves statistical analysis tools to predict final grades.
The first project at TKH, analyzing consumer behavior to optimize marketing, addressing data challenges and website optimization.