Spriha Jha

AI & Data Platforms

Led an 8-week LeetCode Bootcamp at NYU Tandon, equipping 500+ students with critical data structures and algorithms by engaging lessons that prepared students for tech interviews. My personalized support nurtured a diverse learning environment, nurturing undergraduate and graduate students' growth.

• Developed a Python-based internal tool for multi-page medical records classification using Clinical BERT Classifier, achieving 97% precision and 99.92% coverage. Utilized Pandas, Numpy, PyTorch, and Scikit-learn. • Conducted comparative analysis using classical ML models (logistic regression, SVM, CNN) and vectorization techniques (doc2vec, sent2vec, word2vec) to enhance data extraction and analysis; employed Gensim, SciPy, and NLTK.

Collaborated with a 29-member team to develop Butterfly, a social matching app, leading the Chat team and guiding two interns. Implemented user-friendly features and ensured code quality, contributing actively to design meetings and code reviews.

• Spearheaded a complete redesign of REZI’s web portal using Java, GWT, Angular Material, HTML, and CSS, streamlining the renting process and contributing a GMV increase from $11M to $36M within two quarters. • Engineered an interactive map view using Google Maps API, revamping the Search Page, Property Display Page, and Filter Bar; implemented MySQL queries to fetch properties based on filters.

Conducted a comparative study of AWS, Azure, and Google Colab at the Institute of Bioinformatics, developing automated scripts for data visualization and conducting t-SNE analysis on genomic data, additionally, led training sessions on Python for doctoral candidates, enhancing their data analysis skills.

• Revamped the ActiveCore product’s platform using React and Redux, centralizing network control; developed a reusable UI library with Storybook and Jest, ensuring consistent design and maintainability. • Within the Software-Defined Networking team, built secure microservices using AWS, Node.js, and Express.js; implemented search and filter features; collaborated with a 30+ member team using Agile, resulting in an 11% sales lift.

Led the front-end development of a proof-of-concept project, investigating phone systems and developing an integrated user account management system. My efforts streamlined user experience, reversed traditional communication flow, and resulted in a working prototype that received positive stakeholder feedback.

I translated student test results into insightful visualizations using Python, Tableau, and MongoDB. In addition, I collaborated with a team to enhance standardized testing and developed data pipelines and mining techniques for efficient data extraction, significantly boosting team efficiency.

• Merit Scholarship Recipient • Relevant Coursework: Machine Learning for Cybersecurity, Deep Learning, Network Security

• Recipient of Merit-based scholarship of 16000 USD per academic year. • Relevant Coursework: Data Mining | Software Engineering | Probability & Statistics | Computer Graphics