# Karissa Ning

> Student at Cornell University

Location: San Francisco Bay Area, United States
Profile: https://flows.cv/karissa

## Work Experience
### Software Developer @ Cornell Cup Robotics
Jan 2024 – Present
- Refine educational robot’s facial animation system based on user feedback, increasing customizable emotion capacity by 5+ times through resolving Raspberry Pi Zero memory issue identified via Python psutil
- Research & optimize reinforcement learning algorithms & reward functions to train bipedal robot to walk in MuJoCo simulator

### Data & Product Analytics Intern @ National Basketball Association (NBA)
Jan 2025 – Jan 2025
DTC Products, Tech & Ops Department
- Detected recurring video streaming issues, quantified impact of streaming quality on user engagement, & presented data-driven insights, after building new data tables in Snowflake databases (SQL) & performing EDA on 800+ million records (Python)
- Created Amplitude dashboards to track key metrics & analyze trends over time from 2+ billion user interactions with new digital product features, & recommended which features product & engineering teams should prioritize for improvements

### Software Engineer Intern @ The Chinese University of Hong Kong
Jan 2024 – Jan 2024
- Engineered web application to wirelessly monitor rehab training sessions of stroke patients engaging in assisted walking on treadmill in real-time, utilizing Figma (UI design), Flask (backend), HTML, CSS, & JavaScript (frontend)
- Ensured smooth client-server communication via SocketIO & threading for dynamic data transmission, enhancing ability to monitor patients from mobile devices afar by over 100%, through same Wi-Fi network using IP address & port number
- Led and executed visually impactful research poster, won best poster at symposium with 150+ researchers & attendees

### Data Science Intern @ University of California, Davis
Jan 2022 – Jan 2024
- Leveraged expertise in Pandas, NumPy, Matplotlib, Seaborn, Plotly, Sklearn, & ML algorithms to extract actionable insights from complex data & condense findings into simple conclusions to communicate to stakeholders 
- Identified faulty metering among 400+ energy meters by cleaning & analyzing chilled water, steam, electricity data, & applied statistical analysis techniques to pinpoint anomalies & address infrastructure issues before equipment failure
- Uncovered trends in labor workload data for Facilities Management tasks through in-depth EDA & insightful visualizations in Python, improving resource allocation, task prioritization, & overall efficiency by 10%
- Streamlined invoice processing by automating comparisons to energy usage data, saving billing team 10+ hours per month

### Undergraduate Researcher @ UC Davis Center for Mind and Brain
Jan 2023 – Jan 2023
- Enhanced efficiency of analyzing DPOAEs by developing script to generate optimized CSV outputs from data in XML files
- Executed augmented reality project using Microsoft Mixed Reality Toolkit for Unity to simulate hands moving objects that change color upon touch


## Education
### (Early Admit) Master's degree in Applied Statistics & Data Science
Cornell University

### Bachelor of Arts - BA in Statistics, Focus on Computer Science and Machine Learning
Cornell University

### (transferred to Cornell University) Intended Bachelor of Science - BS in Data Science
University of California, Davis

### High School Diploma in Student
Lynbrook High School


## Contact & Social
- LinkedIn: https://linkedin.com/in/karissa-ning-b743ab1bb

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Source: https://flows.cv/karissa
JSON Resume: https://flows.cv/karissa/resume.json
Last updated: 2026-04-10