Anya M.

• Leading a highly technical team of 5 Sr. Associates in delivering scalable data foundation and advanced analytic solutions for our SaaS business by conducting analysis, building tools, and driving improvements in data quality, response times, and latency in alignment with business priorities. (e.g., Python, SQL, Airflow, Spark, Databricks, GitHub). • Collaborating with Data Science, Engineering, and Operations teams to define and implement data strategies that ensure seamless integration, driving impactful data-driven insights and decision-making for stakeholders. • Mentoring and developing a team of Sr. Associates in Data Foundations and Advanced Analytics, establishing a clear vision for how semantic data layers and insights empower Go-to-Market strategy and business growth. • Leading the implementation of cutting-edge technologies, including GPT-4 APIs and Python-based automation workflows, optimizing processes and driving technical innovation at scale. • Fostering a culture of excellence in data and analytics, ensuring alignment with organizational goals through effective leadership, quarterly OKRs, and a focus on continuous improvement and results. • Leading strategic initiatives in Talent Development and Culture Leadership for VP and Sr. Director-level organizations: standing up new technical ladders which had a transformative effect on our team scope and serving as the Culture Committee Chair and overseeing a team of 16 volunteer leads to execute 35+ culture-building events annually for over 100 employees. NLP, DS, GenAI, Python, SQL # Leadership #strategydevelopment #peoplemanagement

Stood up, lead, and successfully scaled the Agile Delivery Hub consisting of (3) direct reports of Senior Associates. Lead the execution of key assets positioned for up leveling and developing regional sales operations. In addition, the team provided impact to global, regional, and acquisition operations teams by delivering a full funnel MVP business view and adding to the forecasting capabilities. The team was able to accomplish delivering 85% of the backlog in 3 quarters, develop and adopt technical design frameworks, while contributing to strategic and team initiatives for operational excellence and advanced analytics.

• Lead and managed a team of 7 Data Scientists and Analysts, focused on delivering data foundation tables (SQL, Databricks, Snowflake), visualizations and reports (Power BI), data science solutions ranging from anomaly detection to predictive models (R/Python), and custom data applications (e.g., Alteryx/PowerApps) within the Post Sales Surveillance Group, which focuses on the early identification of emerging product safety and quality manufacturing issues. • Led the implementation of novel techniques, including word2vec, embeddings, cosine similarity, and R/Python-based automation workflows, saving hundreds of hours by embedding the results into a daily Early Warning Operational Report for vehicle design and maintenance directly influencing vehicle design, improvement, and recall decisions. • Spearheaded the overhaul of company-level regulatory reporting obligations (NHTSA), ensuring compliance with government requirements. Collaborated with Legal, Regulatory agencies, and senior leadership responsible for vehicle design, quality, and safety. Led the development of a classification model and model monitoring methodology, partnering with Technical Support to automate and augment manual tagging, reducing FTE hours and improving accuracy, measurability, and scalability. #Leading value delivery through applied tech (Data Science, Machine Learning, Statistical inference, Application Development (Power Apps), PowerBI, Alteryx).

• Develop Natural Language Processing applications to reduce manual effort in interpretation of large volume of text data. • Develop and deploy end to end machine learning solution for text and ordinal datasets. • Collaborate with the Post Sales Surveillance team to develop analytical approaches to identify potential emerging issues through data analysis and issue detection. • Establish a consistent methodology and roadmap for data analysis and organization. • Expand reproducibility through standardization and documentation of best practices. • Manipulate high-volume, high-dimensional data from varying sources to perform data exploration, highlight patterns, anomalies, relationships, and trends and apply results to business problems. • Design and execute data quality tests for structured and unstructured datasets. Explored and implemented DBSCAN, LDA, FastText, Word Movers Distance, Cosine Similarity, and other topic modeling & NLP approaches. Tools: R, SQL, VDI, API, Excel, Power BI, PowerPoint

Data Science | Decision Science | Experimentation | Product Manager • Responsible for standing up experimental design, executing the treatment plan (A/B test) with cross-functional teams, evaluating the results of study, and delivering recommendations to executive leadership. The study improved product utilization by 10% and influenced future strategic communications, and customer segmentation and prioritization. (*Specifically multivariate analysis was conducted) • Improved portfolio statistics by 3% by researching and analyzing existing customer segments vs. preferred customer segments for strategic partners. • Improved portfolio statistics by 3% by researching and analyzing existing customer segments vs. preferred customer segments for strategic partners. • Evaluated and improved credit risk model utilizing R Programming, Boruta package, generalized linear model (GLM), and linear model (LM). New attributes were selected to better predict the shifted population which translates to an improved default prediction. *Fundation has combined with ODX to form Linear Financial Technologies and then was acquired by Amount. Tools: SQL, Excel, Tableau, R, PowerPoint #FinTech #Financial Services #Credit Risk Modeling #Experimentation #DecisionScience

Data Analytics | Program Manager | Project Management • Migrated six business databases between SQL and legacy Access by gathering business requirements and translating them into functional ETL / Stored Procedures. This increased data integrity by 5% in each iteration. • Managed and improved monthly executive report by streamlining data in excel from multiple sources reducing error rate by 5%. Later translating and further automating the visual with a Tableau pilot. • Increased program revenue by 25% by automating 3 key processes, creating a manual required queue for applications with highest error rate, and increasing program participation by 15%. • Established a new business process that increased program efficiency by over 25% and decreased costs by 10% by negotiating a beneficial contract, establishing a successful partnership with vendors, and streamlining labor hours. • Provide statistical analysis for Safety Training and Evaluation Process (STEP), a benchmarking program with over 2,500 participants a year which helped inform a companywide annual member report and recommendations for program improvement. • Manage Online Software Development project activities for two projects across all project phases, including initiation, planning, execution, monitoring, control, and closure. • Work collaboratively with a software development team and executive leadership to determine technical direction and approach to system design, strategy, and implementation. • Conduct quality assurance testing to ensure the application is running smoothly. Establish and report any enhancements or bugs with the application. Tools: SQL, Excel, Tableau, R, PowerPoint

Worked with each department individually, and gained first-hand experience of inter-workings in the criminal justice system and office operations.

Gained valuable operational knowledge of the legislative process and office management. Identified an area of improvements in the Intern Program, that helped to record, measure, and increase productivity.

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