Club Weekly News
Nov 22 2022
💡 “ How the Biotech Industry Uses Data” !
Check Out the News!
01
Lyft has more than 4,000 employees, which do not include its drivers. Lyft cut 60 people, or under 2% of its workforce, in July. The company is cutting 13% of staff, translating to hundreds of jobs, according to people familiar with the matter, the second round of cuts at the ride-hailing giant in recent months (Rana & Glazer, 2022).
02
Uber Shares Surge on Gains in Quarterly Revenue, Adjusted Profit
Uber Technologies Inc.’s shares soared after the company announced revenue and adjusted earnings gains for last quarter as its customers spent more on rides and food delivery. The ride-hailing company said that revenue for the three months through September was up 72% from a year earlier, to $8.34 billion. Adjusted earnings—a figure that excludes some expenses—hit $516 million, its strongest ever. Both were above Wall Street expectations (Rana, 2022).
03
Elon Musk’s Twitter Faces Exodus of Advertisers and Executives
Twitter is facing an exodus of executives and skittish advertisers as Elon Musk and his advisers take control of the social media company, prepare to lay off employees and make changes to the product. At least five Twitter executives have left in recent days, as one of the world’s largest ad companies said clients should pause spending on the social media platform (Isaac & Mac & Conger, 2022).
Newsletter part 2 highlight:
4 Data Analytics Applications in Biotech Industry
01
Insight Obtaining
Data analytics software helps draw certain inferences from specific gene sequences and mutations that are invaluable in the healthcare industry, drug discovery and development sphere.
02
Storage, Annotation, Visualization and Analysis
DNA sequencing generates a huge amount of data that needs to be analyzed with care: (1). data science tools help to store, track and retrieve relevant information; (2). pattern recognition and identification process are required to adding notes to specific genes in the sequence; (3). data visualization techniques we learnt from class (such as “Storytelling with Data”) and workforce help understand the data in the form of various DNA layouts, showing correlations and helping the audience identify problems easily.
03
Drugs Selection
Data modelling helps biotech and pharma companies screen drugs before they pick the one that’s most effective, based on the computer-generated feedback. The best options are then taken further to clinical trials.
04
Crops Selection
Agricultural biotech firms can also take advantage of data science tools by using them to identify the best performing crops with minimum impact on the environment, especially among the genetically modified plants.
Video Interview:
Reach out to industry Professionals
Interview with Allen chang --Data Scientist at Google
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