Menna Elnashar

- Collaboration and Stakeholder Communication: Collaborate with cross-functional teams to understand business challenges and present data-driven solutions effectively. - Big Data Management: Leverage big data tools and technologies to process large datasets efficiently and extract meaningful insights. - Data Processing and Engineering: Clean, preprocess, and transform structured and unstructured data for analysis and modeling purposes. - Data Analysis and Insights: Perform in-depth data analysis to uncover patterns, trends, and actionable insights, driving informed business decisions. - Machine Learning Model Development: Design, build, and optimize predictive and prescriptive models using advanced machine learning techniques. - Data Visualization: Develop intuitive and interactive dashboards and visualizations to communicate findings and model outputs. - Cloud Optimization: Optimize the performance and cost of GCP resources while maintaining high availability and reliability of data workflows.

- Researched, structured, and created engaging educational content on Machine Learning topics, including supervised and unsupervised learning, deep learning, and model evaluation. - Recorded and edited high-quality tutorial videos explaining complex ML concepts and coding implementations using Python and popular libraries like scikit-learn, TensorFlow, and PyTorch. - Designed interactive coding demonstrations and real-life project walkthroughs to enhance viewer understanding and practical application. - Ensured content was aligned with current industry trends and academic standards by regularly updating material and incorporating feedback. - Collaborated with technical teams or educational platforms to distribute content, optimize reach, and support learners through Q&A or follow-up resources.

Profiled startup companies Learned what VCs look for Became a part of investing in the next generation of technology

One month of Machine Learning and AI training.

The STEM Aspire program is a 6-Months program that provides the following benefits: 1) 1 to 1 meetings with a mentor once per month to give me advice and guidance on topics of my interest. Together, the mentor and me will work on the below: Build trust and talk about your experiences. Talk about your strengths and areas of improvements. Work on goals and the challenges to meet them. The skills set that I already have and the missing ones to meet my goals. Work on an action plan. Talk about the IT industry and any specific areas I would like to learn more about or any fears you have regarding working in this field. 2) A series of offline webinars to attend: First webinar - BUILD YOUR CAREER Second Webinar - GET TO KNOW DELL TECH OPPORTUNITIES Third Webinar – DESIGN THINKING 3) 6 sessions for the 6 months program each online session for an hour.

FEMpower is a program by iCareer with the support of other organizations like the UN Women and the International Labour Organization. This program helped me develop critical competencies that will allow me to acquire job and training opportunities and perform exceptionally in various positions.

I worked on a Stock Analysis project comparing the data in two regions, Switzerland and Europe.

This training includes: 1) Mathematical basics 2) Data Science Toolbox 3) Machine Learning basics 4) Neural Networks 5) Classical Computer Vision Methods 6) Convolutional Neural Networks 7) Object Detection and Segmentation 8) Generative Models & Transformers 9) AI Track Competition 10) Practical Exercises

I learned how to use IBM Cognos Analytics for Business Intelligence Analysis. https://www.credly.com/go/1aTKROlTve9ZmmhH5qxhvw

I held robotics sessions for kids to help them learn more about electronics and LEGO.