EXPERIENCE
Lead Front-End Web Developer
(Oct 2023 - present)
Spearheaded the development of a new website for The Daily Targum, enhancing digital presence and user experience by solidifying fundamentals such as enhanced database management and hybrid CMS, resulting in a 40% increase in user engagement.
Implemented advanced CMS features for streamlined content management, enabling efficient updates and overall editorial management processes, contributing to a 25% reduction in content deployment time.
Integrated sophisticated ad-service and analytics tools (Google Analytics, AdSense) to optimize ad placements and revenue generation, achieving a 30% increase in ad revenue while also providing deep insights into demographic bases and reader behaviors, leading to more targeted and effective content and advertising strategies.
Graduate Research Assistant (Statistics Department)
(Jan 2023 - July 2023)
Spearheaded the translation of complex Random Forest algorithms from R to Stata, ensuring compatibility and efficiency, which involved rewriting codebases, optimizing memory usage, and employing data handling adaptations. This initiative boosted the Random Forest algorithm's efficiency score to over 0.93, marking a significant enhancement in predictive performance through hyperparameter tuning, parallelization, and memory management.
Applied advanced data preprocessing, feature engineering techniques, and efficient data structures to reduce computational time and enhance the algorithm's predictive power, achieving more than a 15% improvement in algorithm outputs by addressing missing data and class imbalances innovatively.
Integrated a two-stage curvature identification process using the Hat Matrix within the Random Forest algorithm, leading to robust model improvements by effectively managing outliers and influential observations. Additionally, applied advanced statistical methods such as propensity score matching and instrumental variables, enhancing the understanding and application of cause-and-effect relationships in statistical analysis.
Global Business Services Intern (Machine Learning Division)
(June 2021 - August 2021)
Led the development of a Bash RC Automation System at Siemens Global Business Services, enhancing file management and accessibility by efficiently handling over 30 different file extensions and streamlining the organization of 5000+ driver files and manuals, significantly improving team productivity and system usability.
Contributed to the creation of a Sentence BERT model to analyze over 100,000 consumer comments, utilizing advanced NLP techniques for sentiment and language clustering. This model, achieving an accuracy of 0.89, provided deep insights into customer sentiment, facilitating strategic, data-driven enhancements to products and services.
Demonstrated exceptional teamwork and adaptability in a global collaborative setting, focusing on continuous improvement and rigorous hyper-parameter tuning to exceed model performance expectations, which underscored the critical role of innovative solutions and precision in driving business success.
Fullstack Web Developer / Analyst
(June 2020 - December 2020)
Spearheaded the creation of two pivotal websites focusing on the medicinal portfolio and packaging solutions for a pharmaceutical and nutraceutical trading company, employing technologies such as React.js, Node.js, and MongoDB. This initiative resulted in a 50% increase in online visibility and a 35% growth in client engagement.
Strategically oversaw website analytics, utilizing tools like Google Analytics and A/B testing to enhance user engagement, which led to a 40% uptick in user interaction and a 25% increase in average session duration by implementing user-centric design and content strategies.
Successfully integrated streamlined ad solutions and optimized SEO practices, significantly expanding the company's client base by 30% through effective online engagement strategies, thereby directly contributing to the company's market expansion and revenue growth.