Grand Circus
Completed an intensive 14-week bootcamp focused on Data Analytics and Data Engineering with Python.
Distinguished by a poised and mature demeanor, I am a driven self-starter renowned for rapid mastery and an insatiable intellectual appetite. My exceptional memory facilitates swift recall and comprehensive problem-solving. Drawing from a rich tapestry of entrepreneurial ventures and corporate engagements, I seamlessly blend innovative thinking with corporate acumen. A stalwart team player, I exhibit strong leadership attributes, fostering synergy and driving collective success. My expertise extends across both front-end design and back-end functionality, underpinned by a profound understanding of Python, Kotlin, JavaScript, JSX, React, and React Native. This comprehensive skill set enables me to architect and deliver sophisticated solutions that seamlessly bridge user experience with technical prowess, propelling projects to unparalleled heights of success.
Library Terminal - Python - LINK
This project served as a comprehensive test of my proficiency in Python fundamentals. It encompassed a wide array of skills, including class definitions, inheritance, polymorphism, and nested loops, thereby demonstrating mastery of concepts acquired during this phase of my bootcamp training. Additionally, we adopted an AGILE working methodology, specifically employing the SCRUM framework, to collaborate effectively with a partner throughout the project. Implementing SCRUM proved invaluable for group productivity and cohesion. The project itself entailed the development of code for a self-service console terminal designed for library operations. Functionality included catalog search, book checkout, return processes, and catalog management, empowering users with streamlined access to library resources.
Data Analysis - EDA & Power BI Dashboard - LINK
This project delved into the essential principles of Data Analytics and Statistics, employing a sample dataset comprising catalog titles sourced from prominent streaming platforms such as Netflix, Hulu, Disney+, and Amazon Prime Video. By leveraging this dataset, the project aimed to explore various analytical techniques and statistical methodologies to derive insights into content trends and audience preferences within the streaming industry. Through thorough analysis and interpretation of the data, the project sought to illuminate patterns, correlations, and key metrics that could inform strategic decisions for content creation. By focusing on these foundational concepts within the context of real-world streaming data, the project provided a practical framework for understanding and applying Data Analytics and Statistics in the dynamic landscape of digital entertainment.
Complete Data Pipeline - Kafka, ETL, EDA & Power BI Dashboard - LINK
Coming Soon!
Data Analysis | Excel | Predictive Modeling |
Statistical Analysis | Data Cleaning | Data Interpretation |
Data Visualization | Database Management | Dashboard Creation |
SQL (Structured Query Language) | Business Intelligence (BI) | Problem-Solving |
Python | Power BI | Critical Thinking |
Completed an intensive 14-week bootcamp focused on Data Analytics and Data Engineering with Python.
Graduated Magna Cum Laude with a double major in Economics and Psychology
Meta Professional Android Developer
Facebook Blueprint Certification - Ad Buying/Strategy
Google Adwords Certification