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Eric Landry Kotto DipandaEL

Eric Landry Kotto Dipanda

Machine Learning Engineer

€450/day
Paris, FR
3-7 years

Average response time: 1 hour

Freelancer profile translated to English.
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About Eric Landry

At Orange, our team leverages AI to shape marketing strategies that enhance customer engagement, supported by my education at Polytech Dijon in Artificial Intelligence. By developing and deploying machine learning models, we have propelled our digital super-app to over 3.5 million customers within less than a year of its launch. My role blends AI innovation with practical business intelligence, reflecting a commitment to continuous technological advancement.

My experience includes transforming energy consumption data into actionable insights at Eneo, where our efforts led to a dramatic reduction in customer complaints through deep learning algorithms based on Optical Character Recognition (OCR). With expertise in Power BI and Pandas, I have distilled complex data into Key Performance Indicators (KPIs) that drive satisfaction and operational excellence. Collaborating with diverse teams, we have set new standards for efficiency and accuracy within our organization.
  • French

    Native or bilingual

  • English

    Fluent

Can work on-site
Paris (up to 50km)

Experience

  • ORANGE CDI
    Machine Learning Engineer
    September 2023 - June 2025 (1 year and 9 months)
    • Implemented an AI model based on clustering, aimed at encouraging potential customers to leave reviews on app stores. This initiative led to a 20% increase in reviews within just one month of its launch, significantly accelerating app downloads.
    • Explored customer event data, with a volume of 10 million records per day, which resulted in the implementation of a recommendation system for offers. This initiative achieved a 15% gain in usage diversification, impacting customer retention and revenue.
    • Developed dashboards on the cloud using Google Looker Studio, ensuring real-time and efficient application monitoring.
  • Groupe ACTIS, ENEO
    Data Scientist | Business Intelligence Developer
    November 2022 - August 2023 (9 months)
    Permanent Contract
    • Led the development of a deep learning solution to extract information from images of energy consumption meters, significantly reducing manual labor and lowering customer complaint rates from 35% to 10%.
    • Developed Key Performance Indicators (KPIs) using Power BI and Pandas to evaluate billing quality, improving overall accuracy and customer satisfaction.
    • Collaborated with and supervised a Master's student intern.
  • Upwork Freelance
    Data Scientist R&D
    March 2022 - September 2022 (6 months)
    • Explored various 'Deep Embedded Clustering' algorithms for segmenting unstructured patient data from hospitals in England.

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Education

  • Engineering Degree
    Polytech Dijon
    2021
    Diplôme d'ingénieur

Skill set

Categories