Hello, I'm

Nisha Choudhary

Software Engineer | Python & Java | Backend | AI & ML

About Me

I'm a backend software engineer with 4+ years of experience, currently working at Lockheed Martin on an Agile Scrum team. My background spans backend development, data science, and machine learning — including research at the NSF-funded Center for Science of Information on integrating ML concepts into computer science education. I'm passionate about building systems that are both technically sound and genuinely useful, and I'm always looking for opportunities to apply engineering to problems that matter.

Skills

PythonJavaMachine LearningBackend DevelopmentAgile / ScrumData ScienceSQLMySQLMongoDBGitCC++LinuxRed Hat Enterprise LinuxBashJUnit TestingNLTKscikit-learn

Experience

Lockheed Martin | Mount Laurel, NJ

Software engineer on an Agile Scrum Team working on backend development

The Center for Science of Information | Bryn Mawr, PA

Researched ways to integrate Machine Learning and Data Science concepts into introductory computer science courses
Collaborated with a team of peers to develop teaching materials to enhance student understanding and engagement of ML and AI concepts

Bryn Mawr College | Bryn Mawr, PA

Tutored students weekly in Introduction to Computing (Processing) and Computer Science I (Java)
Adapted to students' individual learning styles, effectively communicating CS concepts and reducing time spent on assignments

Projects

Coffee Shop Data Analysis

Using data provided by a Southern California coffee shop chain, applied Python's NLTK, NumPy, and Pandas to parse, clean, and process business data for use in forecasting and modeling

PythonNLTKPandasData Wrangling

Predicting World Happiness

Implemented 2 predictive models in Python to identify commonalities and patterns to "learn" from the yearly data from the Gallup World Poll (used for the World Happiness Report) in order to predict a country's happiness score. Predicted the happiness scores using Linear Regression and the KNeighbors Regressor from scikit-learn

Pythonscikit-learnPandasSeaborn

COVID Conqueror

With two peers, developed a MERN stack web app deployed on Heroku to educate elementary school children about coronavirus and the COVID-19 pandemic, and how they can help reduce the spread of coronavirus and be optimistic – received positive feedback upon completion, where over 80% of children felt that they had learned something new

ReactMongoDBJavaScriptMERN Stack

Information Retrieval Stemmer & Engine

(1) Built an information retrieval engine in Java that searched a corpus of New York Times opinion articles, computing TF-IDF weights to rank results and (2) compared the performance of three stemming algorithms — Porter, Snowball, and Krovetz — using Python's NLTK library

PythonNLTKJavaTF-IDF

Education

Bryn Mawr, PA

BA in Computer Science

Minor in Data Science

Relevant Courses

Data StructuresAlgorithmsArtificial IntelligenceMachine LearningSoftware EngineeringWeb Development for Data ScienceInformation RetrievalScience of Information