Nabanita De

https://iapp.org/about/board/privacy-engineering-section-advisory-board/

https://iapp.org/about/person/0011P00001IkPRpQAN/

• Managing team of privacy engineering, product manager & designers to build solutions for world's pressing privacy & AI needs.

• Built and launched PrivacyGPT, Browser plugin, sits on top of Chatgpt & redact sensitive information from 62 countries from prompt engineering layer

• Top 4 worldwide on Producthunt launch (https://www.producthunt.com/products/privacygpt#privacygpt )

• Paid pilot signs-up from Visa, JP Morgan chase, Marqeta, Knopro etc.

• Built and launched two privacy company websites (https://privacyos.ai/), (https://www.tryprivacychampions.com/)

• Built & launched Privacy Champions program - signups from Microsoft, JP Morgan, Visa, Msx, Discover, Liveramp etc

• Created & grew privacy Newsletter (https://www.linkedin.com/newsletters/privacy-license-newsletter-6896880807227588608/) to 1088 subscribers

• Conducted privacy product customer interviews to build privacy & AI products & generating leads and customers for company

• Setup company & team governance

Single Threaded Leader for Privacy. Led cross-functional company wide team of size 50+ - Security, Legal, GRC & Engineering (Developer, Data, ML, Product, Finance, IT etc) for Privacy.

Set up Remitly Global Privacy Program -

• Created 3 year Privacy Data Governance Roadmap.
• Converted Regulatory (NIST-P)/legal requirements to tech privacy roadmap.
• Integrated Privacy-by-design in SDLC/PLC (Pre-DPIAs) & conducted Privacy/Security Risk Reviews.
• Led Monthly Business Reviews, OKRs & board reporting for Privacy program.
• Established Privacy Team Rituals - Agile Sprints, jira, demos, retrospective and social hour
• Clarified Privacy scopes for cross-functional teams for Data Governance (GDPR), cookies (CCPA) etc
• Drafted Privacy Program Charter and Privacy Program roles and responsibilities.
• Created Security/Privacy Tickets Routing strategy.
• Co-founded Machine Learning and AI Council.
• Organized Generative AI Panel integrating Privacy, Security, GRC, Legal and Product.
• Led session at Privacy Summit.
• Led hiring for Senior SWE/TPM for Privacy org.

Set up & Led Privacy Engineering Program from scratch -

• Created 2 year Data Inventory Program Roadmap for Data tagging, Data subject requests & governance (GDPR).
• Wrote 21 Data Governance Policies and Procedures.
• Conducted cross-team Product Interviews and created Data Inventory Product Requirements document.
• Defined Data Inventory program maturity metrics.
• Collaborated with VP of Engineering to set Data Inventory Engineering Strategy.
• Created Data tagging standard for ROPA/NIST-P
• Privacy Build/Buy - Evaluated/collaborated with third party vendors to build privacy features.

Led company-wide Data Inventory for company wide completion of -

• Manual spikes to clarify Data Observability level of effort.
• 100% third party apps & Internal services Inventory.
• Jira Privacy Data tagging efforts.
• Worked through Security teams for AWS Data Inventory & hit 100% Cloud Data discovery.

Engineering Efforts

• Wrote python scripts for 100% AWS Data discovery.
• Built In-house OKTA Data Inventory tool in Python and Frontend in Flask

Data Privacy Lead for Cloud Security

• Saved 2.3 billion $ of cost for Uber Cloud Infra by leading Privacy and Security Initiatives.
• Led Company wide Data classification and resource ownership efforts for AWS, GCP & Azure & reduced attack surface by 29%, unused usage by 74%. Made exabytes of cloud data compliant, saved 8.8 Million dollars per year.
• Built end-to-end NLP powered in-house DLP solution (APIs, CI/CD full stack pipeline and website), detecting sensitive information (PII, PHI & PCI) & secrets from exabytes of Uber & M&A's multi-Cloud data - (2.25 billion dollars of cost savings)
• Built end-to-end Data Inventory System (Firestore, Gsuite, DynamoDB, On-prem) & Dashboards for Cloud Security & Privacy Engineering.
• Helped in resolving over 35,000+ high/critical cloud vulnerabilities & ensuring complete monitoring coverage.
• Conducted Security and Privacy Incident Remediations.
• Created Cloud Data Governance & Security runbooks/policies.
• Leveraged NLP to build Slack chatbot to remediate Security and Privacy queries.
• Contributed These Ideas which are now Products at Uber: Uber Connect, Uber Grocery Delivery and Uber Book By the hour.

Awards:

• Threat Defense & Response - Rockstar Leadership Award
• Engineering Security - Make Security Better Award
• Trust & Security - Customer Obsession Award
• Winner, Uber Threat D&R Hackathon
• Engineering Security Value Awards - Go get it award.
• Uber Security Snackers Award

Skills:
AWS - Lambda, Dynamo DB, SQS, S3, AWS Organizations, Macie, AWS Amplify, Compliance and Privacy
Google Cloud Platform (GCP) - Gsuite, Iam, DLP, Firestore, Cloud Functions, App Engine, Pubsub, Compliance and Privacy
Programming - Go, Python

Outreach & Diversity and Inclusion -

• Outreach ambassador and mentor for Uber's mentorship Partnership with NGO SuperPosition.
• Speaker, Uber Security Awareness Month and Data Privacy Week.
• Judge & Speaker at UberPosition Hackathon (Bay Area's biggest Hackathon)
• ERG Ambassador - Representing Uber's Inclusive community

Helping women return to work after career gap.

• Built the platform - website, podcast, course, content creation and led marketing & partnerships.
• Scaled to 102 countries in 1st year.

Partnership

• Received free 1 million$ worth Forbes Equity Quotient Content Marketing Partnership - Wrote 20+ Forbes articles - 500,000+ Readership, 14387 search referrals, 178652 social impressions.
• Partnered with Amazon, Audible, Microsoft, Goldman Sachs, Adobe, Comcast, Google and more.

Awards

• Fast Company World Changing Ideas Awards 2022 Honoree - "Best World Changing Idea North America" and "Wellness"
• BITS Pilani Global 30 under 30 - Social Entrepreneurship
• Winner, App time Show! 5 Min App pitches to win! 2021
• Global Award 2021 - Women in Tech Network 2021

Outreach - As a Speaker

• Spoke at Unicef, United Nations, Unesco, Princeton University, Power-To-Fly, Globant, Uberposition Hackathon, Buffalo Startup Week, Geneva Learning Foundation, Female Founders Alliance Summit etc.

Healthcare initiative - Built the website www.covidhelpforindia.com to streamlines all covid-19 resources in one place along with a public forum. Organic reach - 35 countries.

• Led a team to build a Fake news detecting Chrome extension "Project Fib", Google Moonshot Prize winner at HackPrinceton 2016 and Facebook F8 Scholarship 2017.
• Featured on Business Insider, Washington Post, The Next Web, Mashable, Huffington Post, Microsoft Blog, Wired, Hacker News, Fortune, CNN, BBC, CBS, CBC News, Bloomberg TV, Boston Globe and over 90% news publications and 100+ Research papers worldwide - http://projectfib.azurewebsites.net/ https://www.nabanitade.com/press
• Invited to "Forbes 30 Under 30 Conference" 2017 by Forbes Team for the work
• Downloaded in 135 countries and 7 continents.
• 50K User Requests per min, 745 stars and 20K Github page views on 1st week
• Won Grinspoon Entrepreneurial Concept Award 2017
• Redhat Women in OpenSource Academic Award Finalist 2017

Cloud and AI Data Intelligence Team

Data Engineering and Analysis

• Collaborated with cross-functional Development and Program Management teams to garner requirements and feature brainstorming and worked on data migration (on-premise to Cloud), automation of big data pipelines, collection, aggregation, processing, GDPR tagging & Data Anonymization, maintaining, analyzing and data visualization of terrabytes of active telemetry data streams to provide platform insights for making data driven product decisions and debugging product error causes for 500 Million+ users for Windows
• Enabled Data team to intuitively measure Windows product health, progress, success and insights through identifying, creating, onboarding and monitoring meaningful and impactful 250+ measures, dashboards and automated reports, sent to Senior Leadership daily and brought down metadata authoring issues by 21%
• Tools: Spark, Jupyter Notebooks, Cosmos, Scope, SQL, Excel, Databricks, SQL Server, SSMS, Xflow, PowerBi, SSRS, Visual Studio, Mission Control, C#, Xml, Python, R, Kusto, Xflow, Scala

Data Science and ML

• Worked closely with the Dev team to identify important features and conducted several ML experimentations. Implemented and integrated Natural Language Processing and Machine Learning end-to-end ML models for various projects and identified significant features contributing to ML predictions to provide insights on product behavior, forecast, customer uptake and cause of errors
• Conducted Data Studies and used statistical measures to devise effective ways to sample yet correctly represent terrabytes of data for effective data analysis, reducing processing time by 90%
• Intern Mentor for Machine Learning and Data Science Projects
• Tools: Azure Machine Learning, Jupyter Notebooks, Python, C#, Augur, TLC, Scikit-Lean, Pyspark, Cosmos, ScopeML, Scope, Datalake, R

Team Outreach Machine Learning Efforts

• Wrote ML Conference paper which was accepted to Machine Learning and Data Science Conference
• Presented Machine learning Posters at Windows Devices Group AI Presentation Day and AI Immersion Day 2017 and 2018

Hackathons

• Built a shippable snake game for the Windows Updating blue boot screen to promote User engagement.
• Won 3rd place at Microsoft's Global Hackathon Oneweek Worldwide (2017)
• Won 1st Place at Microsoft Hack for Good (2018) - Worked for NGO "Seattle Against Slavery" for disrupting Human Trafficking in Seattle. Built Cortana Skills chatbot & PowerBi Dashboards
• Winners, Theme: Games for Our Future Game Jam (2019) - Built a Virtual Reality experience for Oculus Go.
• Winners, Angelhack Capital One DevExchange Hackathon (2018) - Built a Cortana skill to facilitate money transfer between Family
• Built Fashionai and Spoiledfoodai extensions for The Webby Awards winning, Seeing AI Team, as backend SWE and Machine Learning Researcher.

Diversity and Inclusion

• Volunteered at the Microsoft Grace Hopper Recruiting booth & Technology Showcase booth & International Womens Day 2018
• As part of D&I for Women in Windows Servicing and Delivery, gave seminars at Womens Connected Group
• Taught coding for Digi girls, Girls who code and TEALS

Initiatives

• Started Shark Tank Group at Microsoft, leading team of over 100 Software Engineers, PMs and Designers to pitch, brainstorm and materialize new product ideas for Microsoft
• Volunteered for Special Olympics as a judge for the Robotics Competition
• Started Interns Turned FTEs providing a platform to bring together over 350+ new hires
• Worked as Intern Social Coordinator Leader for Camp Microsoft to host events for over 200 Grad Interns

Working as a social media content creator and public relations ambassador for Rent the Runway.

• Drove automation of data collection & transformation pipeline from various on-premise telemetry streams to Cloud, on the Windows Servicing & Delivery Data Analytics team, for future iterations of Windows Updates predictive models

• Collaborated with the Windows Devices Group Datascience team and Implemented Windows updates predictive models for various updates revisions(including the anniversary update) with 88% Accuracy after extensive feature selection experimentations on Azure Machine Learning & Azure HDInsight (Apache Spark MLlib on Jupyter Notebooks), utilizing the built telemetry dataset
• Recipient of Microsoft Travel Scholarship for Grace Hopper Celebration of Women in Computing 2016.

• Recipient of the best Microsoft Student Partner Dreamspark Execution Award for being the most active MSP for marketing & tech
• Held various workshops, teaching students cloud services like Azure and AI tools like Azure Machine Learning, how to build chatbots etc & volunteered for Microsoft Annual Roadshow
• Organised Annual Umass Data Science Hackathon Hack20
• Developed & published Windows Phone apps like "Missing MH370" and "Bluetooth Messenger" on Windows Store. Bluetooth Messenger hit more than about 50,000 downloads . (http://www.windowsphone.com/en-US/store/publishers?publisherId=Nabanita&appId=ab8dfb50-11c7-4d0d-b5ea833cfa157eea ) - Won "Mantra Entrepreneur of the Year"

• Implemented an US state level Location Inferring Classifier for Twitter Users with 60% accuracy for Project Trupil ( http://research.microsoft.com/en-us/projects/trupil/ ), lead by the Social Analytics Team. This SVM Classifier, built with 5.1 million user tweets, uses the text content of the User's tweets (indicator of dialect of the region), time-of-tweeting as the main features and reverse geocoded latitude-longitude info of the location tagged tweets as class labels

• Built a virtual IT technology test lab for the company, by installing and virtualizing various OS & configuring networks in the Data Center using Juniper SSL VPN, No-IP and VSphere ESXI
• Implemented Spam-Ham Filter Classifier on Azure Machine Learning with 92% accuracy. Spam-ham dataset consisted of retrieved spam/ham emails from my Gmail & Yahoo accounts with focus on features like time/day, sender info, attachment info as well as mail content
• Retrieved and processed data from over 1500 companies details from Dubai Financial Center website using Java & HTML Parser
• Worked cross-functionally with Finance Department on generating LPOs & reports , with pre-sales team on designing product bundles recommender systems, with Sales Team on product cold-calling, with post-sales team on Customer Engagement Research - driving Business Decisions, with HR Department on generating & monitoring Employees Database, writing Job Descriptions & scheduling interviews & retrieving HBR & Mckinsey Data. Exhibited at GISEC event as well as on Onapsis SAP Security event on behalf of Paramount

• Implemented automation of data cleaning and correction for the database of Project "Yalla Spree" - online shopping website

• Leveraged the product based training on Cloud Based Microsoft Office 365 and Business Intelligence softwares like Microsoft Dynamics CRM, ERP - AX & CEM AX Payroll, to interact with Customers and generate leads & opportunities with the Telesales department and further generate reports
• Designed the Company's Cloud Services branch website.