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Hi there! I’m Franck Hapikamgang, a Master’s student in Data Science, currently awaiting thesis defense in December. I’m passionate about turning data into actionable insights and building data-driven analytical and predictive solutions. I’m proficient in Python, machine learning, and BI tools like Pentaho and Power BI, and I’m eager to apply my skills to real-world problems that improve decision-making. During my role as a Data Scientist at LIPATRAD PLUS SARL, I analyzed multi-site sales, built inventory forecasting models that reduced stockouts by over 83%, and segmented customers using clustering techniques to target local marketing campaigns, while measuring the effectiveness of promotional campaigns and recommending data-driven actions.…Hi there! I’m Franck Hapikamgang, a Master’s student in Data Science, currently awaiting thesis defense in December. I’m passionate about turning data into actionable insights and building data-driven analytical and predictive solutions. I’m proficient in Python, machine learning, and BI tools like Pentaho and Power BI, and I’m eager to apply my skills to real-world problems that improve decision-making. During my role as a Data Scientist at LIPATRAD PLUS SARL, I analyzed multi-site sales, built inventory forecasting models that reduced stockouts by over 83%, and segmented customers using clustering techniques to target local marketing campaigns, while measuring the effectiveness of promotional campaigns and recommending data-driven actions.

Franck Hapi kamgang

Data Scientist, AI Engineer, Full Stack Developer, +2

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Hi there! I’m Franck Hapikamgang, a Master’s student in Data Science, currently awaiting thesis defense in December. I’m passionate about turning data into actionable insights and building data-driven analytical and predictive solutions. I’m proficient in Python, machine learning, and BI tools like Pentaho and Power BI, and I’m eager to apply my skills to real-world problems that improve decision-making. During my role as a Data Scientist at LIPATRAD PLUS SARL, I analyzed multi-site sales, built inventory forecasting models that reduced stockouts by over 83%, and segmented customers using clustering techniques to target local marketing campaigns, while measuring the effectiveness of promotional campaigns and recommending data-driven actions.…Hi there! I’m Franck Hapikamgang, a Master’s student in Data Science, currently awaiting thesis defense in December. I’m passionate about turning data into actionable insights and building data-driven analytical and predictive solutions. I’m proficient in Python, machine learning, and BI tools like Pentaho and Power BI, and I’m eager to apply my skills to real-world problems that improve decision-making. During my role as a Data Scientist at LIPATRAD PLUS SARL, I analyzed multi-site sales, built inventory forecasting models that reduced stockouts by over 83%, and segmented customers using clustering techniques to target local marketing campaigns, while measuring the effectiveness of promotional campaigns and recommending data-driven actions.

Available to hire

Hi there! I’m Franck Hapikamgang, a Master’s student in Data Science, currently awaiting thesis defense in December. I’m passionate about turning data into actionable insights and building data-driven analytical and predictive solutions. I’m proficient in Python, machine learning, and BI tools like Pentaho and Power BI, and I’m eager to apply my skills to real-world problems that improve decision-making.

During my role as a Data Scientist at LIPATRAD PLUS SARL, I analyzed multi-site sales, built inventory forecasting models that reduced stockouts by over 83%, and segmented customers using clustering techniques to target local marketing campaigns, while measuring the effectiveness of promotional campaigns and recommending data-driven actions.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

PHP

Intermediate

Language

French

Fluent

English

Intermediate

Work Experience

Data Scientist at LIPATRAD PLUS SARL

November 1, 2023 - November 1, 2023

Analyzed multi-site sales and identified key trends by book category; built inventory forecasting models that reduced stockouts by more than 83%; segmented customers using clustering techniques to better target local marketing campaigns; measured the effectiveness of promotional campaigns and recommended data-driven actions.