•Oversee all programs at Because She Can, including the mentorship, volunteering, and laptop beneficiaries’ programs, ensuring that all participants have a positive experience and contribute to achieving the organization's goal and overall success.•Onboard all volunteers, ensuring they have the necessary training and resources to perform their roles effectively. •Organize and coordinate fundraising events to raise funds for the organization's initiatives. •Brainstorm project ideas to help bridge the gender gap in tech, ensuring our initiatives are impactful and align with the organization's goals.•Liaise with partner organizations to host events about women in tech and ensure that our organization is at the forefront of conversations about gender diversity in the tech industry.

•Managed project management documents such as project plans, schedules, and scope statements to monitor project progress by creating status reports for program stakeholders to ensure transparency and accountability.•Ensured the smooth running of the mentorship program by actively communicating with mentorship pairs and providing swift and well-thought-out responses to questions via email and Slack Software; this led to building strong relationships with program participants and ensured the success of the program.•Utilized project management expertise to oversee the implementation of the mentorship program by monitoring project progress, identifying and resolving issues, and providing regular updates to program stakeholders to ensure the program was on track.

•Trained team members in foundational model development with Python and Scikit-Learn, guiding the automation and development team on integrating machine learning into their projects.•Collaborated on the ideation and development of new features, leveraging data-driven insights to enhance the bank's digital product offerings.•Contributed feedback and strategic recommendations during team meetings to advance the bank's digital strategy initiatives.

• Worked on a variety of deep learning, machine learning, and data analysis projects using Kaggle datasets, focusing on finance, health, and business analysis.• Developed and implemented machine learning models, leveraging Python, Scikit-Learn, TensorFlow, and OpenCV for model training and evaluation.• Analyzed large datasets to derive actionable insights, utilizing SQL and Excel for data manipulation and exploration.• Created detailed reports on project findings, showcasing data-driven insights and model performance metrics.• Presented project results and technical findings to stakeholders, effectively communicating complex concepts and solutions.• Gained hands-on experience with tools and technologies including Python, SQL, Excel, Power BI, and Git/GitHub for version control.• Utilized advanced libraries and frameworks such as Scikit-Learn, TensorFlow, and OpenCV for developing and refining machine learning and deep learning models.• Awarded the “Most Proactive Fellow” for exceptional initiative and contributions.• Tutored other fellows in machine learning and deep learning concepts, fostering knowledge sharing and collaborative learning.• Received a DataCamp scholarship to further enhance machine learning skills through advanced coursework and practical projects.

•Collaborated with a team of engineers to build a website using HTML, ReactJS, JavaScript, TypeScript, and CSS via GitHub to help users of the website report bugs and request features easily, improving the user experience.•Actively participated in weekly team meetings on Microsoft Teams and provided detailed reports on the project’s progress, leading to successful website implementation.•Identified and fixed issues with the website to enhance user experience.•Contributed to developing responsive and user-friendly web interfaces by implementing best practices in front-end engineering, including cross-browser compatibility, accessibility, and performance optimisation.•Conducted code reviews and provided constructive feedback to team members, fostering a culture of continuous improvement and adherence to coding standards.