Junior Social Media Analyst/Publisher Bored Panda
Selected high-performing videos for reposting across Facebook, YouTube, and Snapchat using historical view, revenue, and monetisation metrics. Used performance data to identify repeat performers and support advertising-revenue opportunities.
Built a Python recommendation tool processing approximately 300,000 records with pandas and NumPy. Automated data cleaning, ranking, channel filtering, and reporting, delivering more than 1,000 video recommendations weekly for three international teams across 100+ channels. Produced monthly performance comparisons and reported findings to management; recommended posts averaged 3.95 times more three-second views in a May comparison.