Neha Parikh

About Neha Parikh

I’m a data Jedi and cloud wrangler who builds cutting-edge AI systems that don’t just crunch numbers - they actually move the needle. Whether I’m architecting serverless ML pipelines on AWS (Lambda & Step Functions FTW!) or integrating data flows with enterprise beasts like OKTA and NetSuite, I’m all about scalable, secure, and smart solutions.Security and ethics aren’t afterthoughts for me - they’re baked into every line of code and every model I deploy. GDPR? SOC 2? Bring it on. I geek out on making data both powerful and trustworthy, ensuring everything runs tight and plays nice with privacy regs and cybersecurity guardrails.I sync up with squads of data wizards and cybersecurity pros who love tackling gnarly problems, from automating IT workflows with Power Platform to spinning up dashboards that make execs say “Whoa.” Mentorship, collaboration, and innovation fuel my mission to create responsible AI that’s as ethical as it is effective.If you’re into pushing boundaries with data, optimizing cloud infrastructure for max impact, or just want to talk shop about building the future of secure AI, hit me up. Let’s code the next big thing - responsibly.

Experience

1. Senior Data Scientist

   Adaptalytics, Llc

   Aug 2024 — Present · US

   Architect and deploy scalable machine learning models and analytics pipelines across IT infrastructure using AWS services (Lambda, EC2, S3, Glue, Step Functions).• Develop and maintain robust data integrations with enterprise IT systems such as Dayforce, NetSuite, Concur, OKTA, and Active Directory, enabling seamless data flow and operational automation.• Build advanced analytics and AI-driven tools to support IT operations, HR tech, and workforce planning, leveraging Microsoft Power Platform (Power Apps, Power Automate, SharePoint).• Deliver actionable insights through Tableau and Power BI dashboards, supporting cross-departmental functions including IT, engineering, and finance.• Partner with software engineers, DevOps, and IT architects to embed analytics into enterprise products and platforms, supporting real-time decision-making.• Lead data science initiatives that support cloud transformation, infrastructure monitoring, ITSM analytics, and automation strategies.• Drive A/B testing and experimentation to improve user engagement, platform performance, and IT service delivery.• Mentor junior analysts, enforcing best practices for model development, reproducibility, and production readiness.• Ensure data solutions comply with GDPR, SOC 2, and internal governance standards, focusing on security, availability, privacy, and ethical AI principles.• Implement practices for data anonymization, model transparency, access control, and regulatory reporting to support secure, compliant analytics across enterprise systems.• Guide leadership with insights and strategic recommendations derived from deep technical analysis of operational and user data.• Continuously evaluate and implement emerging technologies in AI, MLOps, and cloud analytics to advance the organization’s IT capabilities.

Education

• Gujarat Technological University

  Bachelor of Engineering (B.E.), Information Technology

  2011 — 2015

• University of Dayton

  Master of Science - MS, Computer Science

  2018 — 2020

• New England College

  Master's , Computer and Information Systems Security / Auditing / Information Assurance