Alisha Rege

Chief of Staff to CEO

Veho

May 2026 - Current (3 months)

Vice President Portfolio Operations

Astira Capital Partners

Feb 2025 - Mar 2026 (1 year 2 months)

• Served as Chief of Staff to a portfolio CEO, owning cross-functional execution of a business transformation from project-based to recurring revenue. • Identified operational and organizational bottlenecks across product, onboarding, and go-to-market; design scalable systems, KPIs, and operating cadence to support growth. • Partnered with leadership to align product investment to ROI, prioritize high-impact initiatives, and transition stabilized functions to dedicated owners as the organization scales. • Built board-ready materials and executive narratives to improve decision-making, capital allocation, and stakeholder alignment. • Drove enterprise-wide value creation initiatives across multiple portfolio companies, leveraging data, techno

Associate

McKinsey Company

Jul 2022 - Jan 2025 (2 years 7 months)

• Developed and executed a transformation strategy for a startup held by private equity firm, leading to a $45M EBITDA increase with an $8M investment over three years. Projected 20% reduction in costs and a 30% increase in revenue through AI initiatives, cost reduction initiatives, and data use cases. • Advised C-suite executives (CFO, CHRO, CTO, CEO) with data-driven recommendations to enhance business operations and growth. Key outcomes included identifying churn reduction opportunities worth $5M to $100M, reducing costs by $15M through organizational restructuring, and implementing a 50% boost in operational efficiency by mapping and addressing financial close process inefficiencies. • Managed a team to publish an industry disrupting re

Consultant

EYParthenon

Jun 2021 - Aug 2021 (3 months)

• Performed market studies for private equity clients seeking acquisitions in the life sciences sector, including specialty pharmacy and human-derived biological products. Identified strategic acquisition targets & market opportunities leading to a projected 20% YOY growth. • Developed and implemented a growth model to forecast customer base expansion over the next decade, using advanced segmentation of prescriptions across multiple hospitals. Delivered strategic insights to support long-term planning and market positioning. • Executed multi-factor analysis to evaluate distribution channels, successfully identifying and prioritizing the top 10% as actionable targets for strategic focus and resource allocation.

S

Management Consultant

Series A Healthcare Startup

Mar 2021 - May 2021 (3 months)

• Conducted comprehensive market research and competitive analysis of ~30 medical SAAS product distribution channels • Ran a multi-factor analysis for evaluation of distribution channels and shortlisted 10% as actionable targets • Presented profiling as actionable distribution strategies that were pursued by C-level executives

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CEO, Co-founder

Genuine gesture

Dec 2020 - Jun 2022 (1 year 7 months)

• Led market research and identified market entry point for SAAS product with ~$200M market potential (AI-based translation between American Sign Language and English for business meetings) by leading executive- level discussions with 30+ Fortune 500 chief diversity officers • Created a tiered sales model to attract the first round of customers by conducting market study and pitching to multiple chief diversity officers

Data Scientist

accenture

Aug 2019 - Sep 2020 (1 year 2 months)

Accenture Federal – Warehouse Utilization Project to Save US DOD Over $500M • Recruited and led a high-performing team driving a 40% reduction in labor costs, by developing a unified survey approach to optimize warehouse utilization and streamline inventory management at over 400 nonstandard warehouses. • Secured multimillion-dollar funding for the project’s second phase by engaging with the Secretary of Defense and multiple Department of Defense divisions. Navigated interviews with high-ranking officers to gain critical sponsorship and support. • Achieved the Accenture Applied Artificial Intelligence West Top 3 Projects Award in 2020, recognized among 50 competing teams for exceptional innovation and impact in AI applications. Google Inn

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Senior Data Scientist and Application Lead

Wiseio from GE Digital

May 2018 - May 2019 (1 year 1 month)

• Led a team of four data scientists to identify anomalous operation turbines saving GE Renewables $100M annually • Synthesized 8.64B hours of time series data to develop a self-learning algorithm and decrease cost by $100K per anomaly detected for GE Power • Presented progress to automate alerting process weekly to VP of GE Power and decreased client's workload by 15% • Received nomination from senior leadership for GE Crotonville: Influential Leadership and Innovation Certification due to exceptional performance (selective nomination process where top ~5% of employees selected)

Software Engineer

Amazon

Jun 2017 - Sep 2017 (4 months)

• Contributed to core computer vision work supporting Amazon Go, helping inform architectural and algorithmic decisions for the product’s “just walk out” experience • Implemented production-quality code in Python and C++ in close collaboration with senior researchers, senior engineers, and cross-functional stakeholders • Partnered with research, engineering, and product leadership to translate experimental concepts into scalable technical solutions

Researcher under Dr. Fei-Fei Li

Stanford University

Sep 2016 - Dec 2017 (1 year 4 months)

• Piloted an AI-powered computer vision solution for fall detection, targeting a 47M-person senior care market and informing product and go-to-market potential • Led a multidisciplinary student research team, advised by Dr. Fei-Fei Li, to design technology-enabled independent living solutions for seniors • Developed and deployed an AI system to monitor hospital sanitization practices, contributing to a 4% reduction in infection rates • Published peer-reviewed research on hand hygiene compliance and senior activity recognition in healthcare settings • Built and evaluated multiple deep learning architectures (e.g., CNNs, 3D CNNs, LRCN, domain transfer models) across TensorFlow, Caffe, and PyTorch to support applied computer vision use cases

Visual Cloud Systems Engineering

Intel Corporation

May 2016 - Jul 2016 (3 months)

• Built a library that leveraged CPU-optimized deep learning to demonstrate cost-efficient alternatives to GPU-heavy architectures (Intel Caffe and Faster-RCNN) • Contributed to cloud architecture decisions for deploying deep learning workloads on AWS, balancing performance, scalability, and cost • Conducted cost and tradeoff analyses of infrastructure options to support informed technical and business decision-making

Human Language Technology Researcher

MIT Lincoln Laboratory

May 2015 - Aug 2015 (4 months)

• Programmed in Python and Perl to support large-scale data processing workflows • Developed machine learning models integrating audio and video signals to detect speaking individuals (“talking heads”) using the REPERE corpus • Worked with multimodal datasets, combining audio and visual features for applied ML use cases

Software Engineer

Microsoft

May 2014 - Aug 2014 (4 months)

• Built foundational expertise in machine learning by developing statistical and ML-based anomaly detection models • Designed an end-to-end alerting and notification workflow to surface anomalies and notify on-call engineers in real time • Gained proficiency in SQL to query, analyze, and manipulate structured data streams for operational monitoring

Researcher

Penn State University

Jan 2014 - Oct 2014 (10 months)

• Conducted research to develop a data visualization and analysis program enabling users to view and manipulate multiple interconnected data points simultaneously • Research funded by the U.S. Department of Defense

A

Self-Made App Designer

Alisha Rege

Jun 2012 - Aug 2013 (1 year 3 months)

• Self-taught Objective-C to design and build a mobile application leveraging Siri to enable communication for hearing-impaired users and students • Developed speech-to-sign-language functionality and launched the app on the App Store • Recognized for innovation with 1st Place at the Intel Regional Competition and 2nd Place at the State Competition

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