Hi, I'm Anna

I am

I am currently pursuing a Master of Science in Engineering in Data Science along with a Mathematics and Computer Science Bachelor's degree from the University of Pennsylvania, graduating in December 2021. Through my graduate coursework I am doing a concentration in Machine Learning, and completing a thesis in the field of Computational Linguistics about Domain Adaptation/Story Generation under the mentorship of PhD candidate Daphne Ippolito and the supervision of Professor Christopher Callison-Burch.

At Penn, I took on a challenging course-load with classes such as Artificial Intelligence, Machine Learning, Computational Linguistics, Databases, Statistics for Data Science, Algorithms & Data Structures, Unix, Python, Computer Architecture, and highly theoretical math courses like Graph Theory and Graph Algorithms, Abstract Algebra, Linear Algebra, Complex Analysis, Game Theory, Calculus, Language and Automata, as well as Micro- and Macroeconomics.
Furthermore in Fall 2020, I was hired as Teacher's Assistant for the graduate-level Computational Linguistics class (CIS 530) under Professor Clayton Greenberg.

I had the pleasure of working as an Artificial Intelligence and Data Science Intern at the AIDA team of MBition - Mercedes-Benz Innovation Lab. During the Summer 2020 I built an automated Data Quality Assurance system by implementing state-of-the-art time series models including SARIMAX, LSTMs and Prophet.

I pursued a year-and-a-half long internship in LogMeIn's Machine Learning (Applied Research) team. I created innovative solutions for Bold360 AI's customers by doing industry-leading research in the field of Natural Language Processing. Most importantly, I developed an award-winning Hackathon project for training Q&A systems using state-of-the-art Deep Neural Networks (BERT) the technology which is on the forefront of NLP. We were awarded 1st prize Tech Innovation + Audience favorite prize + 2nd place Best Business Value Innovation.

As a sophomore I was recruited by Facebook for a Software Engineering Internship position to work on their Data Transfer Infrastructure team. Through single-handedly building an internal software for petabytes-sized data transfer, I operated with multi-tenancy, network utilization, scheduling, cross-dc connection-pooling, etc. I primarily developed using C++, but I also had the pleasure of learning about SQL and Apache Hive, the tools most often used by Facebook's Data Scientists.

I interned at RapidMiner as a member of the core developers' team right after my first year of college. Here I developed RapidMiner's two flagship products, RapidMiner Studio and Radoop. I learned about the dynamics of a developer team and mastered my Java skills and became familiar with Data Science tools such as Apache Hadoop and Spark.