Ishita Malhotra highlights data science, AI and technical education work

Ishita Malhotra, a Dallas-based data science and analytics professional, is being featured for work spanning machine learning, automation, teaching and mentorship. Her career shows how technical education and applied analytics can support scalable decision-making and expand access to learning.

Why it matters: - Ishita Malhotra’s work connects data science with education, showing how analytics and AI can be used to improve both business decisions and learning access. - Her career path reflects a growing need for professionals who can turn complex data into repeatable systems, not just one-time analysis. - Her focus on mentorship and technical education adds a workforce-development angle to her analytics career.

What happened: - Influential Women featured Ishita Malhotra, a data science and analytics professional based in Dallas. - The profile was published Sept. 23, 2026. - Malhotra’s background spans computer science, analytics, machine learning, automation and technical education. - The profile highlights her work across risk, marketing, enterprise analytics, audit, people analytics and governance.

The details: - Malhotra earned a Bachelor of Technology in Computer Science and Engineering from SRM Institute of Science and Technology in India. - She received a full tuition scholarship through a national-level essay competition. - She later earned a Master of Science in Data Analytics for Science from Carnegie Mellon University. - Her graduate work included industry projects involving PNC Bank and Bristol Myers Squibb. - She also worked as a teaching assistant during graduate school. - Her professional experience includes roles with KPMG India and Gartner. - That work included risk analysis, digital and marketing analytics, process improvement and reporting automation. - Her analytics work now includes machine learning, natural language processing, anomaly detection, data-quality monitoring and automation. - She has contributed research on applied analytics and recommendation systems, including machine learning approaches to personalizing educational content discovery. - Malhotra is developing Dotaiz, a free and open learning initiative focused on recommendation technologies and AI-assisted discovery for education. - She has participated in forums and programs with INFORMS, IEEE communities, Google Developer Groups, university programs and industry programs. - She has also served as a session leader, mentor and evaluator of emerging technical work. - Her community and teaching work includes Udacity, Google Developer Groups, Google Developer Student Clubs, Girls Who Code and Carnegie Mellon University. - The profile says she supported her family during the COVID-19 crisis while continuing her professional development. - Malhotra also relocated to the United States for graduate study. - More information is available through her Influential Women profile.

Between the lines: - The profile presents Malhotra as an example of a non-linear tech career that moves from coding into business analytics, then into scalable AI and education tools. - Her mix of enterprise analytics and teaching suggests a broader trend in which technical professionals are being asked to build systems and develop talent at the same time. - The emphasis on mentorship signals that her work is not limited to technical output; it also includes community-building and knowledge transfer.

What's next: - Malhotra says she sees major opportunities in the continued evolution of AI and data. - Her stated focus is on scalable learning systems that make technical education more accessible and practical. - She also aims to help learners and professionals build the confidence and independence needed to apply technology effectively.

The bottom line: - Ishita Malhotra’s profile frames her as a data science professional using analytics, automation and education to make technology more useful and more accessible.