ADPListReviews of adplist.org

My question was about Junyi’s career path from research into innovation. She understood my situation and context incredibly well. I really appreciated that she took the time to ask about my experience, where I am now, and where I want to go. What stood out to me was how thoughtfully she shaped the conversation around the things that mattered most to me. As she shared her own story, she kept highlighting exactly the aspects that were relevant to my quest

They quickly and easily connected me to a mentor with experience and insight in the tech industry. He taught me a great deal in a short call. Overall, the service helped me build a connection to someone who was interested in teaching me what I should be doing next with my career.

Very useful platform to understand job function and get guidance from people from top enterprises.

Our mentoring lasted 30 minutes and was awesome. I am doing a career transition and want to become an UX researcher, then Emily gave me great tips to increase my social media position and resume. I hope to have another conversation with her sometime soon!

I got a clear roadmap and I more motivated than before.The session was thus so outstanding

This is very innovative Idea, what ADPList is doing. I was surprised after my first session, how useful it is for people who are searching for job or trying to get guidance on career etc. Really a fantastic platform!!

ADPList is a really helpful platform. I've met some great people who have shared valuable advice, guided me through improving my portfolio, and offered genuine support. I'm grateful for the experience and would definitely recommend it.

The session was very helpful in understanding where I currently stand in my journey towards becoming a Data Analyst and which areas I should focus on to make further progress. My coach explained the Data Analyst role in a simple but effective way, breaking it down into three main stages: **collecting, analyzing, and visualizing data**. This helped me structure the role more clearly in my mind, especially since it aligned well with what I had already learned during my Data Analytics course. We then discussed the technical skills I should continue developing. He recommended gaining more hands-on experience with data engineering concepts, ETL/ELT processes, relational databases, SQL, Python, statistics, and data visualization. He also suggested practical platforms such as Kaggle, HackerRank, and LeetCode, and encouraged me to work on end-to-end projects, from collecting and cleaning data to analyzing and visualizing the results, using AI tools to receive feedback and identify areas for improvement. What I particularly appreciated was how well he assessed my current experience and skill level. He understood both where I am today and where I want to be, and helped me identify realistic, actionable steps to bridge that gap. He also recognized the progress I have already made and encouraged me to continue building on it, which gave me more confidence in my career transition. I came to the session well-prepared with several questions about my career transition, technical skill gaps, internal opportunities, career progression, and CV positioning. Although we didn't have time to cover everything, I felt that the session was productive and well aligned with my needs. I left with a clearer picture of my next steps, a better understanding of the skills I should prioritize, and more confidence that I am moving in the right direction.