# Zachary Kratochvil > Data Scientist (Team Lead) Location: Medford, Massachusetts, United States Profile: https://flows.cv/zacharykratochvil I am a business-savvy data scientist with a masters and 4 years of machine learning experience. I have a proven ability to lead teams to solve complex, impactful AI and big data problems in cross-functional organizations with many stakeholders. To do this, I rely on both my excellent listening, communication, and organizational skills as well as my range of technical problem solving skills, including: cloud computing, CI/CD, statistics, linear methods, decision trees, deep learning, computer vision, and natural language processing. I have experience in medical, agricultural, robotics, and insurance industries. ## Work Experience ### Senior Research Software Engineer @ Composable Analytics, Inc. Jan 2024 – Jan 2024 | Cambridge, Massachusetts, United States ### Research Software Engineer @ Composable Analytics, Inc. Jan 2022 – Jan 2024 | Cambridge, Massachusetts, United States • Led team of 5 to build and deploy 2 end-to-end CI/CD ML pipelines for a new client: from ingesting live data from 4+ text sources via Kafka to automating financial risk classification • Collected requirements from client and organized into discrete pieces of work to delegate • Performed EDA independently on text, free-text, and numerical input data associated with 2 of these sources and designed transformations like fuzzy matching, keyword search • Built, optimized, and validated 3 of the 8 decision tree classifiers through several iterations • Composed weekly reports on the health of the production system, deployed optimizations • Supported the team’s completion of the rest of the pipeline: integrated with vendors through Kafka, performed EDA, designed and built 50+ table SQL database, designed and built 5 classifiers, designed and built automated testing framework • Performed technical advising, implemented versioning system and code reviews • Supported the creation of a question vs. answer classifier for a 2nd client including tokenization, TF-IDF, and decision tree classifier achieving > 96% accuracy ### Master's Project: Video Prediction @ Multimodal Learning, Interaction, and Perception Robotics Lab Jan 2021 – Jan 2022 | Tufts University, Medford, MA • Replicated 3 papers using CNNs, LSTMs, VAEs, and GANs to predict next frames of video • Adapted 2 of these models to incorporate natural language inputs ### Data Science and Machine Learning Intern @ AdaViv Jan 2021 – Jan 2021 | Massachusetts, United States • Automated the localization of contamination using 2D images, 3D point cloud modeling • Enabled product to scale to new customers by saving inspection of 100s of images per day • Implemented this system on AWS, fully automating the workflow ### Teaching Assistant @ The University of Texas at Austin Jan 2020 – Jan 2020 • Lead small group problem-solving sessions for 50-person certificate course on data • Enhanced team’s teaching quality by initiating team meetings and git hub repository ### Research Associate @ Blumenfeld Lab Jan 2017 – Jan 2019 | Yale Medical School, New Haven, CT • Completed 3D imaging experiment by developing ETL/ML pipeline on a Terabyte-sized dataset: • Tested over 50 data cleaning techniques with dozens of parameters each • Implemented the 6 top-performing techniques in containers on an HPC cluster • Designed and computed a regression analysis with 100s of parameters • Maintained and documented code relied on by coworkers to run their own analyses ### Post-baccalaureate Fellow @ Dutch Connectome Lab Jan 2017 – Jan 2017 | Utrecht University, Utrecht, Netherlands • Modelled complex network/graph data with simpler networks • Implemented optimization algorithms from literature to fit these models 50% faster ### Undergraduate Researcher @ Multimodal Neuroimaging Lab Jan 2014 – Jan 2015 | Thayer School of Engineering at Dartmouth, Hanover, NH • Developed, implemented 3d-motion-capture synchronization procedure • Designed camera mount, integrated into mesh ferret model; streamlined Matlab data analysis ### Product Innovation Intern @ athenahealth Jan 2015 – Jan 2015 | Watertown, MA • Clustered unlabeled website event data to automate anomaly detection • Designed custom, interactive dashboard by modifying a web visualization library to make a weighted timeline of user clicks, keystrokes; recommended UI improvements • Presented webinar viewed by over 500 clients to introduce new product features ### Research and Development Intern @ MC10 Inc. Jan 2014 – Jan 2015 | Cambridge, MA • Wrote MATLAB scripts for data visualization, hardware optimization, and validation; led to: 100% success rate in human trials, publication • Conducted human sleep and activity study, analyzed device performance, developed novel visualizations; led to improved classification algorithms • Developed and executed stress-testing, dying, and silicone device encapsulation procedures, confirming reliability and enabling manufacture • Debugged and soldered device-USB interface using bi-directional level translator; used to characterize device measurement variability; found variability was within specs ### Undergraduate Researcher @ Quantum Computing Lab Jan 2013 – Jan 2014 | Department of Physics and Astronomy, Dartmouth College, Hanover, NH • Implemented continuous wave – electrically detected magnetic resonance (CW EDMR) setup: lock-in amp and pre-amp, DAQ, microwave resonator; validated with P-N junction sample • Improved proportional-integral-derivative (PID) control; led to easy magnetic field adjustment ### Retail Sales Associate @ Running Specialty Group (RSG) Jan 2012 – Jan 2013 | Rye, NY • Provided hands on technical expertise and guidance to customers • Opened retail store twice weekly; performed closing and inventory as needed; resulting in promotion for initiative and experience • Initiated and performed basic econometric analyses, informed Regional Manager’s decisions by explaining relative contributions of factors to year-over-year sales performance ### Research Assistant @ Blumenfeld Lab Jan 2011 – Jan 2012 | Yale Medical School, New Haven, CT • Co-designed and co-implemented MATLAB script to parse xml time series data, graphically identify extraneous points, statistically analyze dozens of variables, output graphical results informing future directions of the study • Created screen overlays in Java to gamify experiment; increased participation ## Education ### Master of Science - MS in Data Science Tufts University ### Bachelor of Engineering Thayer School of Engineering at Dartmouth ### Bachelor of Arts in Engineering Sciences; minor in Neuroscience; significant coursework in Physics Dartmouth College ### High School Blind Brook High School ## Contact & Social - LinkedIn: https://linkedin.com/in/zachary-b-kratochvil --- Source: https://flows.cv/zacharykratochvil JSON Resume: https://flows.cv/zacharykratochvil/resume.json Last updated: 2026-03-31