Carpe Datum

Journey in Engineering: Discussion of Maheen's path to becoming a gold medalist in engineering, her involvement in Young Inventor programs, and how these experiences shaped her career.

Diverse Experiences in STEM: Exploration of Maheen’s roles as a science demonstrator, ambassador for Women in Data Science, Women Engineers, and her involvement in initiatives like Coke Studio.

Current Role and Future Goals: Insights into Maheen’s current role as a SMART trainee at ANDRITZ Pulp and Paper, her next steps, and the valuable lessons she's applying from previous trainee experiences.

Leadership and Advocacy: Highlighting Maheen’s work with WinSci Pakistan, including success stories from her awareness campaigns and workshops, and advice for young girls in STEM.

The STEM Stitch, a non-profit Katie founded, aims to provide STEM resources to students in rural areas.

Intersection of computer science and domestic violence advocacy

Importance of STEM education in rural communities

Youth empowerment and community service

Balancing passion projects with academic pursuits

Transitioning to Tech: The Data Science Bootcamp she took and Data Science Portfolio

Overcoming Burnout: Acknowledge burnout, take breaks, reassess goals, and seek support.

Online Learning - Align courses with goals, bridge theory & practice, be consistent & participate.

Udacity Nanodegree - Demanding & rewarding, online flexibility + structured learning.

Soft Skills for Data - Soft skills connect data to results (communication & empathy).

Leader vs. Follower - Value in both! Lead = vision, Follow = mentorship & growth.

AI & Data Science for K-12 - Real-world applications, engaging activities to spark curiosity.

Joy is a client-facing AI Engineer at IBM using generative AI for customer service, content generation, etc.

She transitioned from data scientist (traditional machine learning) to AI Engineer (generative AI).

Her internship at IBM led to a full-time role. As an account manager, she supported data center expansion projects.

At BMW, she built a predictive model for customer purchasing behavior.

Outside of work, she enjoys hobbies like pilates and ceramics to prevent burnout.

Data Science Career: Climbed the ladder from intern to senior data scientist at Intuit AI, designing models for various uses. Enjoys continuous learning and driving positive outcomes with data.

Ph.D. in CS: Overcame challenges to earn a Ph.D. in a field with low female representation. Passionate about diversity and inclusion in tech.

Deep Learning for Computer Vision: Explained the process and its applications in healthcare, transportation, security, etc.

Mentoring & Teaching: Advocated for diversity through communities and mentored future generations in tech. Highlighted the importance of introducing data science concepts to K-12 students.

Psychology & Research: Holds degrees in Psychology and Criminology, with research experience in eating habits, social media addiction, and translating data into actionable insights.

Freelance Researcher: Currently works as a freelance researcher with interests in health, clinical, and sport psychology.

Volunteer Work: Actively volunteers for organizations related to psychology and youth development.

Research Focus: Utilizes machine learning with electronic health records to create decision support tools in psychiatry.

Background: Holds a B.Sc. in Biology and Psychology, transitioned to a Ph.D. in Computational Psychiatry. Won 1st place in a National Big Data Competition.

Academic Achievements: Her 29 awards, including academic, research, presentation, leadership, and graduate awards. Maintains a 4.0 GPA.