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 Persona-Based Language 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.
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.