I am a recent CS graduate from Duke University working full time as a software engineer. Both within my work and outside, I am passionate about building and maintaining full-stack applications, and managing fully-fledged data pipelines, from database design to analytics and model deployment. I am always seeking to leverage my skills to tackle business problems and deliver quantifiable results.

Top Languages / Frameworks: Python, TypeScript, PostgreSQL, TailwindCSS, React, ExpressJS, FastAPI, PySpark, Scikit-Learn, Kafka, Docker
Relevant Courses: Bayesian Statistics, Algorithms, Data Structures and Algorithms, Databases, Probablity, Regression Analysis
Areas of Interest: Data Engineering, App Development (Web, Mobile), Data Science, ML Engineering, DevOps

• Map Navigation Simulator - utilized graph traversal and shortest path algorithms to determine and display to users ideal highway routes between any two US cities given their coordinates.
• Machine Learning COVID-era Stock Prediction - leveraged LSTM recurrent neural networks to predict performance of popular company stock prices in COVID and post-COVID era.
• Employee Network Analysis ML Project - used various graph types (preferential attachment, small world networks) and node and edge-wise features (centrality, influence measures, connectivity) to model employee network, imputing missing data with machine learning ensemble models.
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• Data Science Intern at KBI Biopharma: renovated company DBMS by aiding cloud migration; implemented stagnancy triggers in python to rehabilitate company's excess inventory management; redefined company supply outflow metrics, modernizing expiry processes.
• Research Assistant at Michelle Connolly's Spectrum Lab: analyzed broadband deployment measures and spectrum licensing incentives among service providers; leveraged Stata and Python ML libraries to develop models predicting reverse auctions outcomes and FCC state-level fund allocations.
• Teaching Assistant for Duke University's CS 216 (Introduction to Data Science): helped design course curriculum, held office hours, graded exams.

Email: rohilkparti [at] gmail.com