Career Development
Free
Online
Wednesday, 23 July -
Wednesday, 23 July
12
–
1:30
pm
EDT
Outcomes Technical Interview Prep Essentials
About This Workshop Series
The Data Analytics Tech Interview Prep Essentials is our monthly alumni job seeker webinar series designed to offer impactful advice, approaches and practice that empowers you to feel prepared and confident to successfully complete the technical interview employers heavily rely on to assess an applicant's technical skills. These sessions are hands-on practice so participants should be prepared to roll up their sleeves and participate in the challenges and breakout groups delivered in these workshops. It's also an opportunity to meet and network with fellow GA alumni from all over the world.
The Career Services Team is proud to partner with our Instructor team to provide a well rounded experience and motivate grads with relevant content they can use to drive success. This global initiative emphasizes necessary technical skills and focuses on content that leads to getting jobs faster with an emphasis on driving results.
All sessions are FREE and will run via Zoom. Registered attendees will receive the webinar Zoom link, 1-hour prior to the session via email.
All sessions will be recorded and made available along with any materials and decks from the session.
Takeaways
This global initiative emphasizes the GA Career Services experience and focuses on content and best practices to drive results so job seekers feel more confident in performing successfully in the technical interview. These are safe spaces and participants are encouraged to try their best and ask questions in an effort to understand the challenge and how best to approach arriving at a solution.
Preparation
Follow this page to receive emails to upcoming sessions.
Register for each monthly session via the event post so we have an estimated headcount of attendees.
All sessions are FREE and will run via Zoom.
Registered attendees will receive the webinar Zoom link, 1-hour prior to the session via email.
Mark your calendars. It’s important to have these session times blocked on your calendar so you remember to attend and can schedule around them.
Be prepared to work. Participants will work on actual challenges both individually and in groups. These sessions are hands-on workshops so participation is required.
These are safe spaces and judgment-free zones. Participants are encouraged to try their best and ask questions in an effort to understand the challenge and how best to approach arriving at a solution.
Be on time. Sessions start right at the hour. Attendees will be let in from the waiting room by the host. To avoid disruption and to be courteous to other participants it is required to be on time. At their discretion, the host reserves the right to not admit latecomers into a session.
Review recorded sessions. All sessions will be recorded and made available along with any materials and decks from the session within 48 hours of the session completion.
About the Instructor
Musfiqur (Sumit) Rahman
Lead Data Science Instructor, General Assembly
Musfiqur is a Data Science Educator and a Machine Learning Engineer with a passion for reducing the AI talent gap in Toronto. He is helping to grow the Data Science community by training AI enthusiasts to meet the growing needs of the industry. He enjoys teaching students to solve real world Machine Learning problems with greater efficiency in both cost and time.
IN CONVERSATION WITH MUSFIQUR RAHMAN:
What is your favorite technical skill to work with on your own projects and why?
I enjoy working with deep learning and NLP, especially fine-tuning transformer models. The ability to extract insights from unstructured data and build intelligent systems fascinates me. Optimizing models for efficiency and interpretability is particularly rewarding, as it bridges research and real-world applications in AI-driven decision-making and automation.
What is your favorite technical skill to teach to students and why?
I enjoy teaching SQL and Python to those transitioning into data science/analytics. SQL is essential for querying and managing structured data, while Python enables advanced analysis, automation, and visualization using various libraries including Pandas, NumPy, and Matplotlib. Learning both provides a strong foundation for data manipulation, statistical analysis, and machine learning. Python’s versatility also opens doors to more advanced AI and data science roles, making it a powerful tool for career growth in analytics.
What is most important to you about teaching technical skills at General Assembly?
The most important aspect of teaching technical skills at a career college like General Assembly is ensuring practical, job-ready learning. I focus on real-world applications, hands-on projects, and critical problem-solving to equip students with the confidence and skills needed for a smooth career transition into tech.
What advice do you have for anyone looking to learn technical skills to reach new career goals?
The most important aspect of teaching technical skills at General Assembly is ensuring practical, job-ready learning. I focus on real-world applications, hands-on projects, and critical problem-solving to equip students with the confidence and skills needed for a smooth career transition into tech.
What would you like to highlight about your experience in your technical domain outside of teaching?
I have a strong background in developing and deploying ML models in the health tech domain, where I focused on building reliable, ethical, and compliant AI solutions. My work involved optimizing predictive models, ensuring data privacy, and addressing regulatory challenges in healthcare AI. This experience gave me deep insights into the complexities of real-world AI applications, particularly in high-stakes environments. Now, as a third-year PhD researcher in Software Engineering for AI, my focus has shifted toward advancing robust AI development practices. I specialize in reliable code generation with LLMs, and efficiency in AI-driven systems, ensuring that LLMs are not only accurate but also maintainable, scalable, and trustworthy. By integrating software engineering principles into AI, I aim to bridge the gap between research and practical AI deployment in industry settings.
WHAT MUSFIQUR’S STUDENTS ARE SAYING...
”Sumit is transparent and open with us about details of his work experience in the field, which adds additional value on top of the curriculum. His knowledge of the topics at hand is very deep.”
"Sumit has been consistent in his teaching approach. He is always prompt and prepared at the start of each class; he is structured and showed a great amount of respect for time, in regards to the amount of information that the class needed to absorb in a short amount of time. Sumit is quite knowledgeable, but equally good at relaying concepts that were new and sometimes difficult for each of us. It is Sumit's patience in addressing questions and creating examples, that made all of the difference in my personal experience."