Yogini Naik
Data Science Developer

Yogini Naik

Data and applied scientist at Microsoft.

About

Yogini Naiki is a data scientist with over two years of experience in providing data-driven solutions for products and three years as a developer. She has worked on NLP, data engineering, descriptive analytics, and data visualization. As a data and applied scientist at Microsoft, she has handled multiple data science and analysis projects, including formulating OKRs and creating metrics and insights. Yogini also served as an analyst for Deutsche Bank. Her technical skills include Python, Java, R, Big Data systems (Cosmos + Scope, Hadoop), Pyspark+Databricks, Power BI, machine learning, and basic SQL.

Employment

3 roles
Aug 2021 - Present 4 years 9 months
Data & Applied Scientist II
Microsoft
  • Worked with engineering and product teams to formulate OKRs and was responsible for metric creation and insights.
  • Analyzed usage of control panel pages from usage and feedback data to plan rejuvenation of settings pages as part of Windows 11 rejuvenation/updates.
  • Updated AppPicker feature on Windows, conducted A/B testing to get user feedback, analyzed feedback received to understand user behavior and sentiments. This helped to improve the feature and plan release.
  • Worked on creating a generic feedback analysis platform for all Windows feedback to improve feature planning and updates for Windows 11.
May 2020 - Aug 2021 1 year 3 months
Data & Applied Scientist I
Microsoft
  • Served as the first data scientist in Windows India org, helped set up the base for the rest of India team for the technologies, platforms and tools used.
  • Primarily worked on Windows Team OS data (Surface Hub), which involved device and app usage analysis, trends in usage, monitoring releases, creating data pipelines.
  • Derived actionable insights for product team from massive data sets for Surface Hub devices.  Worked on Hub repurchase analysis, correlation with industry segments for increasing sales and improve customer experience through OS data.
  • Performed sentiment analysis and keyword extraction on internal and external feedback for Surface Hubs, deployed on Azure cloud for live data generation.
  • Developed end-to-end data pipelines for data access to all engineering and product team members.
Jul 2018 - May 2020 1 year 10 months
Analyst
Deutsche Bank
  • Developed surveillance tool and centralized testing tool for various surveillance testing. Involved in design of consolidating instance to integrate various payment backend and also maintain performance of application.
  • Involved in end to end development of list management tool using for distribution of sanctions and embargoes lists for transaction surveillance tool.
  • Handled data analytics and visualization; involved in data modeling and design of data after getting processed through risk detection system. Worked on visualization and insights for stakeholders.

Education

May 2016 - May 2018 2 years
Master of Engineering, Computer Science
Birla Institute of Technology and Science, Pilani
May 2009 - May 2013 4 years
Bachelor of Engineering, Computer Engineering
Rajiv Gandhi Institute of Technology