60monthloans > 60monthloans Employee Directory > Ryan M.
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Ryan M.
Data Scientist | Machine Learning ConsultantFind email
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Ryan M.'s Current Workplace
60monthloans, Inc.Company Size
1-10
Amount Raised
N/A
State Licensed Lender in 20 states. Gives unsecured personal loans from $1,000 - $10,000. \n- We are licensed by the Virginia State Corporation Commission License # CFI-212\n- 5 min application\n- Funding as quick as 1 business day\n- No hard inquiry to your credit ever
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Notable Investors
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Finance
Lending
Consumer Lending
Financial Services
Experience
Data Scientist | Machine Learning Consultant
60monthloans, Inc. · Contract
Nov 2024 - Present
• 5 mos• Developing machine learning models (XGBoost, Random Forest) using historical credit bureau data to predict loan defaults.
• Conducting extensive data validation, anomaly detection, and preprocessing to ensure high-quality inputs for model training.
• Performing feature engineering, dimensionality reduction (PCA), and SHAP-based interpretability analysis to refine predictive accuracy.
• Writing custom scripts for model evaluation and hyperparameter tuning to optimize performance.
• Contributing to the team’s foundational ML workflow by organizing code, establishing documentation, and implementing best practices in reproducible research.
Skills: Python (Programming Language) · Machine Learning · Data Analysis
Piano Teacher
La Scuola International School · Contract
Sep 2024 - Present
• 7 mosConduct 1:1 piano enrichment lessons to Kinder and 1st-Graders after school
Skills: Piano Education · Teaching
Prompt Engineer and Rater
DataAnnotation · Freelance
Apr 2024 - Present
• 1 yr• Curate high-quality training data for reinforcement learning, ensuring AI assistant responses align with accuracy, clarity, and user intent.
• Design, refine, and evaluate complex prompts to enhance large language model (LLM) performance across diverse domains, including Python programming and advanced mathematics.
• Conduct systematic assessments of LLM outputs, identifying strengths and failure modes while providing structured feedback to improve model reasoning and response generation.
QuantumScape
Jun 2021 - Nov 2023
Member of Technical Staff - Process Engineering
Nov 2022 - Nov 2023
• 1 yr 1 moManaged the thermal annealing process for thin-film ceramic separators, overseeing the scheduling of 8 thermal tube furnaces to process thousands of parts per week while coordinating between upstream and downstream teams.
• Led cross-functional teams to consistently meet production targets, ensuring smooth collaboration between engineers, technicians, and management.
• Established a streamlined process flow for transitioning from sintering to annealing, leveraging organized spreadsheets and clear communication to improve efficiency.
• Designed and executed data-driven DOEs to qualify new parts in production, increasing throughput by 50% without disrupting operations.
• Developed yield forecast reports to enhance communication between ceramic production and battery manufacturing teams, providing visibility into critical part availability, throughput, and process deviations.
• Improved manufacturing logistics by defining engineering requirements, test cases, and SOPs for a new Manufacturing Execution System (MES) in collaboration with the data automation team.
Skills: Microsoft Excel · Throughput Management · Statistical Data Analysis · Project Managment · Proactive Communication
Associate Member of Technical Staff - Process Engineering
Jun 2021 - Nov 2022
• 1 yr 6 mosProcess engineer specializing in sinter and anneal processes for ceramic separators in solid-state lithium battery manufacturing. Provided technical leadership to optimize efficiency and production quality.
• Supervised and trained a team of technicians across four shifts, handling scheduling, troubleshooting, and after-hours support.
• Automated routine data analysis using Python, saving engineers 30+ minutes per day through improved data querying, cleaning, and visualization for weekly reporting, yield tracking, and audits.
• Managed 16 technicians and 3 engineers over a 3-month period during a manager’s leave, successfully overseeing scale-up efforts and a critical customer deliverables campaign.
• Gained hands-on experience with chemical analysis techniques including XRD, SEM, FIB, XPS, and IGA to support process optimization and quality control.
Skills: Manufacturing Process Improvement · Leadership · Python (Programming Language) · Data Analysis
Product Engineering Intern
KLA · Internship
Jun 2020 - Aug 2020
• 3 mos• Interned in the New Product Introduction team in the Laser Scanner Product Service Organization group supporting service engineers.
• Improved efficiency of tool monitoring for service engineers by editing tool diagnostic scripts in Python to automatically send critical health data to KLA’s servers.
• Created an XML parser to reduce time spent on parsing calibration data for Laser Scanner service engineers.
Engineering Intern, Supplier Quality
Lam Research
Jun 2019 - Aug 2019
• 3 mos-Primary project was helping to transfer cost for quality of anodized parts to suppliers in order to save time and money for supply chain.
-Improved organization, efficiency, and scalability of anodized supplier quality group by creating a database of consolidated supplier quality data with automated reports highlighting variability between and within suppliers.
-Reduced non-value-add work for supplier engineers by training third party lab scientists on anodized testing methods. Outsourcing of quality testing allowed for a simple transition to supplier ownership for quality.
-Assisted with day-to-day supply chain management including routine communication with suppliers and conducting a supplier process audit.
Curriculum Development Intern
Data Science for India
Jun 2018 - Oct 2018
• 5 mosDSI is a global non-profit organization dedicated to educating and empowering high school students in India who have a passion for data science.
Helped develop and edit Data Literacy curriculum for Summer 2018 session.
Undergraduate Researcher
Alivisatos Group Undergraduate Research Program
Jan 2018 - May 2018
• 5 mosWorked with a team of selected undergraduates in the College of Chemistry at UC Berkeley to analyze the formation and growth of Platinum nanocrystals in graphene liquid cells using TEM footage.
OrientationofPTNanoparticles-Poster.pdf
OrientationofPTNanoparticles-Paper.pdf
Instructor
BrainVyne - LEGO® & Money Camps · Seasonal
Jun 2014 - Aug 2017
• 3 yrs 3 mos-Worked at BrainVyne Lego camps over Summers and Spring breaks, starting as an intern and progressing to instructor
-Lead technical lego lessons using WeDo Lego Builds and Software, helping students build their designs and understand fundamental engineering concepts
-Helped teach students fundamentals of programming through WeDo Build software
-Gained experience working with children and parents in an educational setting
-Started as an intern in the camp's first year and grew with the company over 4 years
Skills: Teaching · Working with Children · Patience · Leadership
Education
- 2017 - 2021University of California, BerkeleyBachelor of Science - BS, Chemical Engineering
- 2013 - 2017Palo Alto High School