7+ years of work experience in data science in a number of tech companies. Moved from India to Singapore for undergrad and then US for Masters. I am interested in helping organizations and people improve their decision-making process through data. I currently work in ads data science at Spotify. Prior to Spotify, I worked at Instacart and Amazon, in several areas such as supply chain, strategy, experimentation, causal inference and product analytics. I enjoy mentoring and discussing topics such as career development, overcoming imposter syndrome, interview prep, immigration to the US, etc. I started my career as a software engineer in Singapore and then transitioned to a data science role at Amazon (Seattle) after completing my MS degree from Northwestern University (Evanston). I believe that the ability to translate ambiguous business problems to structured data science questions is one of the most important skills a good data scientist has. I'm also comfortable building data pipelines, writing code to productionize models, and consider myself a full-stack data scientist. I have had the opportunity to speak at conferences (and am happy to help if you're interested in becoming a conference speaker) such as: 1. Women in Data Science Puget Sound (WIDS'21): Talk on Causal Inference 2. Interview with YouTube channel CodeBasics: My Data Science journey and learnings 3. WIDS'22: Talk on Data Literacy 4. Data Innovators Conference Panelist: Innovative Approaches to Data Science 5. WIDS'23: Talk on accelerating A/B testing