Kristen Anderson

Data Scientist and Analyst with a strong research background in neuroscience signal processing

About

Data Scientist and Analyst with a strong research background in neuroscience signal processing and experimental design. Skilled in extracting meaningful insights from complex datasets including neural recordings physiological signals and time-series data. Proficient in Python MATLAB SQL and CC++ with hands-on experience building end-to-end data pipelines from acquisition to analysis and reporting.I combine deep technical expertise in statistical analysis feature extraction and numerical methods with the ability to translate findings into clear actionable narratives. My background in embedded systems and hardware design gives me a unique edge in understanding data at every layer from the sensor to the dashboard.

Education

California College of the Arts

Bachelor's / 2011

Experience

Thruline Marketing Inc

Data Scientist / April, 2024 — December

Developed predictive models using Python (scikit-learn XGBoost) to forecast key business metrics improving decision-making accuracy by 25%. Built end-to-end data pipelines for ingesting cleaning and transforming large-scale datasets from multiple sources using SQL and Python. Designed and maintained interactive dashboards in Power BI and Tableau enabling stakeholders to monitor KPIs in real time. Applied advanced statistical methods including hypothesis testing regression analysis and AB testing to drive product and marketing strategies. Collaborated with engineering and product teams to define data requirements and deliver actionable insights from complex datasets.

YTBE Inc.

Data Analyst / September, 2021 — February, 2024

Designed and executed data collection protocols for neurophysiological experiments including single-unit recordings and eye-tracking systems. Built custom analysis pipelines in Python and MATLAB for signal processing feature extraction and statistical modeling of neural and behavioral data. Performed cross-region neural correlation analysis to uncover patterns in brain activity contributing to peer-reviewed publications. Developed automated data-cleaning and quality-assurance workflows reducing manual preprocessing time by 40%. Created visualizations and scientific reports to communicate experimental findings to cross-functional research teams and funding bodies.

Magickid Robotics Lab Inc

Embedded Systems Engineer / March, 2020 — July, 2021

Designed ARM-based microprocessor systems and FPGA solutions (Altera Cyclone) for real-time data acquisition and processing. Built an AVR-based biomedical ECG monitoring system integrating analog circuit design with GSM-based data transmission. Implemented a digital oscilloscope for signal visualization and embedded systems debugging. Developed firmware and control software in CC++ for sensor interfacing data logging and serial communication protocols. Designed and tested analog and digital circuits using Proteus Quartus and ModelSim delivering prototypes from concept to validation.

PetSmart

Data Analyst / February, 2018 — January, 2020

Analyzed sales inventory and customer behavior data across multiple store locations using SQL and Python to identify trends and optimize merchandising strategies. Built and maintained automated reporting dashboards in Power BI providing leadership with real-time visibility into revenue foot traffic and promotional performance. Conducted AB testing and statistical analysis on marketing campaigns contributing to a 15% increase in customer retention for loyalty program members. Collaborated with supply chain and operations teams to forecast product demand reducing overstock by 20% during seasonal peaks. Cleaned and standardized large datasets from POS systems e-commerce platforms and CRM tools to ensure data integrity across reporting pipelines.

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