Anjali Parikh

About Anjali Parikh

As a distinguished leader in data science and software engineering with over two decades of experience, I specialize in leveraging DS methodologies to address business challenges and drive impactful outcomes. I am dedicated to contributing to dynamic and high impact software projects. My areas of expertise encompass Natural Language Processing (NLP), Large Language Models (LLM), Artificial intelligence of IT Operations (AIOps), Feedback systems, Self-help deflection, AI for large scale systems in OS, Operating systems fundamentals. My strong foundation in mathematics and software engineering provides me with a unique perspective on business problems, enabling to develop innovative and scalable solutions that drive meaningful results. Received prestigious \"Special award\" for contributing to Microsoft\'s success via critical impact to Microsoft\'s Internal systems (June, 2016 and February, 2013). Nominated \"HiPo\", Microsoft\'s prestigious internal training program for High Potential individuals to enable accelerated career growth.Skills include Python, SQL, C/C++. I am passionate about contributing to fast-paced, high-impact software projects to deliver exceptional, scalable and high-quality software. Regardless of my title or specific role, I am dedicated to understanding the customer problems we face and spearheading the efforts necessary to address them. I strive to foster a team culture that balances enjoyment and humor with a strong sense of accountability and ownership. I take great satisfaction in managing and mentoring individuals within my team and the broader organization. My ultimate goal is to make a significant impact within a dynamic and growing organization, seizing opportunities to contribute to its success.

Experience

1. Principal Data Science Manager

   Microsoft

   Mar 2017 — Present · US

   Team Leadership: Managing a diverse team of data & applied scientists, ensuring the delivery of high-quality ML & AI technologies. Enhanced AI Capabilities: Leveraged Natural Language Processing (NLP) & LLMs to integrate various AI features into Windows for developing AI features for Inbox Apps (Notepad rewrite, Smart Select for Paint) and Studio Effects (Stage Light) for Copilot + PC to increase engagement and adoption for Windows. Feedback Systems: Directed a team employing various data science techniques, including NLP and text analysis, to extract actionable insights from extensive user feedback. Achievements include:(a) Categorizing feedback for feature teams to prioritize (b) Identifying emerging issues from multiple channels (customer feedback, CSS, Windows Store, social media). Achieving a 90% bug resolution rate through preemptive issue detection (c) Developing a system to identify and address low-frequency high-impact issues like data and security losses.Reliability and Performance Optimization: Collaborated with the Windows Fundamentals team to enhance the actionability of reliability bugs by 6% by correlating Watson data with user feedback, leading to a 70% resolution rate of tagged bugs. This system continues to operate and deliver the aforementioned gains.AI OPS Solutions: Contributed to the advancement of Windows and Azure services through the development of various AI Operations (AI Ops) solutions.Telemetry and Measures Analysis: Conducted comprehensive telemetry and measures analysis using advanced methodologies to optimize Windows features.Leadership and Diversity Initiatives: Actively engaged in development and diversity initiatives, including (a) Serving on the Leadership Committee for the W+D Women ERG, organizing and conducting development activities such as Mentoring Rings and Women’s Networking Events.(b) Leading CVP shadowing and branding programs for L67 women company-wide through LWOLe (Life Without Lines – extended).

Education

• University of Washington

  Certificate in C and C++ Programming, Computer Programming

  1997 — 1998

• Savitribai Phule Pune University

  Master’s Degree, Mathematics

  1994 — 1996