Available to hire
I’m Kristen Anderson, a data scientist and analyst with 5+ years of experience turning messy data into actionable insights across marketing, retail, research, and sensor-driven domains.
I enjoy building robust data pipelines with Python and SQL, crafting dashboards in Power BI and Tableau, and collaborating with stakeholders to drive forecasting accuracy, operational efficiency, and informed decision-making.
Work Experience
Data Scientist at Thruline Marketing, Inc
April 1, 2024 - PresentDeveloped forecasting and classification models using Python, scikit-learn, and XGBoost to predict campaign performance, lead quality, and customer behavior, improving planning accuracy by 25%. Built SQL and Python data pipelines to ingest, clean, and transform multi-source marketing and customer datasets for recurring analytics and reporting workflows. Designed Power BI and Tableau dashboards to monitor KPIs, campaign trends, conversion metrics, and operational performance in real time. Applied hypothesis testing, regression analysis, and A/B testing to evaluate marketing strategies and guide product and campaign decisions. Partnered with engineering, product, and business stakeholders to translate complex datasets into clear recommendations and measurable business actions.
Research Data Analyst at YTBE, Inc.
September 1, 2021 - February 1, 2024Built Python and MATLAB pipelines for signal processing, feature extraction, and statistical modeling of neural, behavioral, and time-series data. Designed and executed data collection protocols for neurophysiological experiments, including single-unit recordings and eye-tracking systems. Performed cross-region neural correlation analysis to identify brain-activity patterns and support research reporting, manuscript preparation, and experimental review. Automated data-cleaning and quality-assurance workflows, reducing manual preprocessing time by 40% while improving analysis consistency. Created visualizations and scientific reports to communicate experimental findings to cross-functional research teams and funding stakeholders.
Embedded Systems Engineer at Magickid Robotics Lab, Inc
March 1, 2020 - July 1, 2021Designed ARM-based microprocessor and FPGA solutions for real-time data acquisition, sensor interfacing, and embedded signal-processing workflows. Built an AVR-based biomedical ECG monitoring prototype integrating analog circuit design, firmware, and GSM-based data transmission. Developed C/C++ firmware for sensor control, data logging, serial communication, and embedded systems debugging. Validated analog and digital circuit prototypes using Proteus, Quartus, and ModelSim from concept through testing.
Data Analyst at PetSmart
February 1, 2018 - January 1, 2020Analyzed sales, inventory, customer behavior, POS, e-commerce, and CRM data using SQL and Python to identify trends and improve merchandising decisions. Built Power BI reporting dashboards that gave leadership real-time visibility into revenue, foot traffic, promotions, and store performance. Conducted A/B testing and statistical analysis on marketing campaigns, contributing to a 15% increase in loyalty-program customer retention. Collaborated with supply chain and operations teams to forecast demand and reduce seasonal overstock by 20%.
Education
Bachelor's at California College of the Arts
March 1, 2007 - August 1, 2011Qualifications
Industry Experience
Software & Internet, Retail, Manufacturing, Other
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