Engineering Financial

CHARLES CIROTTEAU

+1-510-***-**** *****************@***.********.*** linkedin.com/in/charles-cirotteau EDUCATION

University of California, Berkeley – Haas School of Business 03/21 Master of Financial Engineering

PROJECTS

• Machine Learning & Portfolio Management: Worked with RavenPack, a leading data analytics platform in the financial services industry on converting single stock sentiment into portfolio level sentiment

• Deep Learning Project: Extracted data and used time-series as well as deep learning (DA-RNN) tools to develop pair trading strategies

• Machine Learning Project: Utilized NLP techniques on Management Discussion and Analysis reports to measure information asymmetry as it related to ESG ratings CentraleSupelec, Paris 09/17 – 09/19

Bachelor of Science in Engineering Paris, France

• Relevant Coursework: Statistics, Probabilities, Sustainable Development, Corporate Finance, Financial Analysis

& Reporting Environmental engineering, Micro/Macro-economics, Computer Science Henri IV, Paris 09/15 – 09/17

Classes Preparatoires for Grandes Ecoles Paris, France

• Achievements: Selected for the National competitive exams in Mathematics, Physics, Chemistry & Biology SKILLS

Programming: Python, SQL, MATLAB, Bloomberg

Mathematics: Time-Series Analysis, Probability Theory, Statistics, Stochastic Calculus, Algebra, Mathematical Analysis Key Certifications: CFA level I, Completion of Andrew NG’s Deep Learning & Neural Networks Certification Languages: English (fluent), French (native), Spanish (conversational) PROFESSIONAL EXPERIENCE

Sokrates Advisors, Private Equity consulting firm 10/20 – 01/21 Intern San Francisco, US

• Developed code in python to systematically organize millions of data into actionable insights for investment purposes

• Utilized Power BI to improve project team efficiency through the automatization of visualization tools

• Built multiple complex financial models using discounted cash flow analysis by evaluating company income statements including various metrics such as sales, revenues, and inventory turnover ratios among others

• Analyzed real estate market in due diligence procedures relating to the acquisition of target portfolio company Safran Landing Systems, major manufacturer of aircrafts and landing gear 12/19 – 02/20 Intern Paris, France

• Constructed models to forecast costs for proposed factory designs while also factoring demand of carbon brakes

• Created multiple scenarios using time-series analysis for factory logistics while considering numerous ESG criteria and requirements

• Presented findings to senior management committee including Vice President of Expansion Carbon Interests: Machine Learning, Sustainable Investing, Rowing, Soccer, Skiing, Volunteering as private teacher

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