Priyanshu Mutreja, CFA

- Leading the strategic vision and execution of data science solutions for Supply Chain and Fulfillment Transformation, collaborating with cross-functional leadership (demand, supply, and distribution) to drive significant business value. - Orchestrated a post-pandemic supply planning optimization initiative that significantly enhanced supply chain resilience while mitigating critical parts shortages, resulting in $830M+ in revenue recovery since FY23 by driving increased throughput. - Led and developed a high-performing team of 30+ data scientists and engineers (internal and external) across multiple product lines, fostering a culture of innovation and collaboration to deliver impactful data-driven solutions. - Defined the medium-term business strategy and product roadmap for supply chain transformation, securing executive buy-in and alignment with corporate objectives. This included introducing new tools and patterns, reducing non-value-add work and time-to-implementation by 90% for developers and customers. - Partnered with platform engineering leadership to establish a strategic technical roadmap for advanced ML and operations research capabilities, enabling both supply chain transformation and broader TMNA ecosystem growth. - Oversaw the development and deployment of a novel modeling technique and processing pipeline for ETA predictions, achieving a 20% improvement in dealer delivery prediction accuracy and enhancing customer satisfaction. - Presented the organization's supply chain transformation strategy at the Gurobi North America Summit 2024, engaging key stakeholders and thought leaders; featured on the closing keynote panel discussing strategies for securing organizational buy-in for optimization projects.

On Deck First 50 (OD50) Fellowship Cohort #5

- Leading a team of eight data scientists, data engineers, and software developers to design, develop, and deploy an enterprise-scale API to provide delivery day and time predictions to customers of a Fortune 50 logistics company - Led a global team of data scientists and software developers to develop an estimated delivery time window ML model - Collaborate with various stakeholders to assess and identify business requirements, prioritize development backlog, and help guide the roadmap for the prediction platform - Provide strategic advice and develop the data and analytics roadmap by identifying and prioritizing business requirements through collaboration with sales, marketing, and operational business units - Provided thought leadership in ML techniques and devised ways to align predictive modeling with business requirements, resulting in a 20% improvement in accuracy, expected to save $8 million in annual costs upon deployment - Coach and mentor data scientists and analytics professional on best practices and help them in their professional growth and career development - Upgraded package lifecycle metric calculation through advanced PySpark queries and reduced the query time by >90%, resulting in a quicker turnaround to business requests - Managing the global solutions portfolio for the AI & Automation practice, developing new solutions, researching product market fit, and guiding the overall strategy initiatives. Recommendations have resulted in 60% YoY revenue growth - Collaborating with managing partners and the CEO to drive adoption of our offerings process across the entire firm - Developed a business value case and drove plan adoption for a centralized cybersecurity platform for a global energy company

• Researched, developed, and put in production new screening factors and factor weightings scheme as part of the return prediction model • Used NLP techniques such as sentiment analysis, word similarity, and topic modeling (LDA) to determine earnings call sentiment and classify companies by their exposure to industry themes. Data spanned 63 million paragraphs • Led a team of analysts for intranet-based portfolio optimization and analytics system development using Python API, incorporating PCA for risk decomposition and classification and clustering algorithms for security and return analysis • Developed and managed the infrastructure for extracting (ETL) and processing global equity data using SQL, Python, SAS • Mentored analysts, offered guidance for short-term and long-term personal and team goals, helping them in their career development through additional responsibilities and achieving promotions • Co-managed $1.5 billion in assets across non-US and Global equity strategies using quantitative modeling and qualitative overlay to evaluate and implement trade ideas • Authored pitchbooks, communicated process and performance to consultants and prospective clients across North America, Europe, and Australia and raised over assets across non-US investment strategies

• Analyze different volatility models for G10 currency pairs in their forecasting effectiveness to predict changes in volatility • Interpret implied volatility movements in relation to realized volatility • Develop alpha return strategies for currencies using in-sample time series data at different resolutions • Evaluate strategies such as trend or breakout using out-of-sample metrics such as alpha, information ratio, and max drawdown • Analyze impact of macroeconomic data on different currencies and S&P 500 index

Wrote an application to prepare real-time statistics on trading models, strategies, and automated order execution data. Developed an algorithm to evaluate financial strategies such as arbitrage, spreads and hedges. Wrote application logic in Python to publish statistics online and display appropriate results using AJAX and XML configuration.

Worked at Department of Computer Science as undergraduate researcher on NSF-funded research. Researched the topic of using games to solve computationally hard problems numerically. Developed proof of concept using Java applets, MySQL, and PHP.

Designed database in MySQL with PHP web interface for maintaining Snort (IDS) signatures.

Selected Coursework: Time Series Analysis, Stochastic Calculus, Option Pricing using Monte Carlo Simulation Techniques, Rates Modeling, Swaption Pricing, Credit Risk Modeling, Financial Risk Management, Active Portfolio Management, Dynamic Asset Allocation

Graduated Summa cum Laude with minors in Computer Science and Mathematics