Jasmin Farshi

Advisor @Cota Capital

San Jose, CA, US
EMAILS
j•••••@cotacapital.com
MOBILE NUMBERS
+18•••••••68

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WORK HISTORY

Jul 2024 — Present

Advisor @Cota Capital

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San Francisco, CA, US

EDUCATION

N/A

University of Illinois Chicago

Masters in Engineering, Mechanical /Signal Processing / Feedback Control / FEA

N/A

The University of Chicago Booth School of Business

MBA, Business, Product, and General Management

N/A

University of Illinois Chicago

Bachlors in Engineering, Mechcanical Dynamics - Noise & Vibration

SKILLS

Mobile DevicesTeam LeadershipProduct Lifecycle ManagementProduct ManagementStrategic PartnershipsProcess ImprovementCross-Functional Team LeadershipSix SigmaBusiness StrategyQuality AssuranceInterview SkillsBusiness DevelopmentProduct DevelopmentConsumer Product DevelopmentTestingBusiness Process ImprovementProgram ManagementSupply Chain ManagementSupply ChainWireless TechnologiesWirelessLeadershipContinuous ImprovementStrategic PlanningStrategyEngineering ManagementVendor ManagementTeam BuildingManagementQuality ManagementExecutive ManagementBusiness PlanningOperations ManagementManufacturing

ABOUT JASMIN FARSHI

Innovative and driven Engineering and Operations executive with global management expertise in the consumer, med-tech, and enterprise electronics industries. Successful in delivering business impact by defining forward-looking solutions, accelerating growth, and building data systems and infrastructure for collective innovations that drive transformation.Spearheaded and scaled global, cross-functional teams, aligning engineering excellence with business objectives by defining, evangelizing, and executing high-impact strategies. Quick to recognize win/win solutions that relentlessly maximizing ROI, while maintaining a positive, calm approach under pressure. Trusted by C-suite leaders to tackle mission-critical challenges and driving operational efficiencies. Passionate about integrating proven methodologies and cutting-edge technologies—such as Lean, Six Sigma, data science, applied analytics, simulation, optimization, machine learning (ML), ML Ops platforms, AI, and Generative AI—to drive innovation, streamline operations, and enhance competitive advantage.

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