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Showing posts from July, 2017

Students on the blog: An Alumna Working in Data Science and Analytics

Jingqiao (Ciao) Huang (MS Quantitative Methods and Modeling '17) interviewed alumna Shivani Trehan (MS Statistics '16) about her role as a Data Scientist, thoughts on networking and what some key skills students should be thinking about are. Jingqiao : Shivani, thank you for meeting with me today. Let's start with your current job. Can you please share a bit about your current role at your company? Shivani : I work for Assembly (Media Arts and Sciences). I work as a Data Scientist for the Analytics and Data Science team. I am working across different accounts and servicing different clients depending on the need. My work involves media-mix modeling and other forms of predictive modeling. I also work on other data analyses as and when they are required. Jingqiao :  How did you find this job and what preparation work or steps did you do or take to land there? Shivani :  I reached out to the EVP, Data Science and Analytics team on LinkedIn and told him that

Students on the Blog: Q&A with a Digital Marketing Manager Alum

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By Bin Feng, MS Accounting ‘18 For people outside of the marketing field, it’s easy to think that marketing merely means poster designs, advertisements or event promotion. Few of us, however, understand the digital side. In an era of globalization and new technologies, digital marketing professionals make use of data analysis to understand customer preferences and create targeted promotional materials. Last week, I interviewed Li Yang (MS Marketing ’16), a Baruch College alumnus of the MS Marketing Program, to talk about what it is like working as a Digital Marketing Manager. Q: Hey Yang, first thing first, thanks for your time for this interview. Shall we start by you sharing your role in your company? A: Hi Bin, you are welcome! I’m the Digital Marketing Manager in our company. My role is mainly comprised of four parts: one, budget planning for marketing campaigns and public-relation events; two, predicting and planning monthly orders based on our sales on e-commerce