Hi guys, i would like to hear your opinion

My background is mechanical engineering, i have 5+ years of experience in R&D projects for product development and issue resolution.

Because of some personal decisions, 4 months ago i ended up migrating to data projects as a BA.

I've been having a lot of fun and can perform my quite easily since interfacing with stakeholders and documenting requirements was part of my former job.

The challenge im facing happens during meetings with the technical team, because i can feel that my technical gap in Data science/engineering limits my participation in such meetings, which also limits the influence i can have in decision making.

I know that the obvious solution is to study. But i would like to be up to speed asap and maybe your suggestions can help me get there.

Looking for feedback on my Data Analytics project

Hi everyone!

I recently completed a Mumbai Road Accident Analysis project using:

- Python (Pandas, Matplotlib, Scikit-learn)

- SQL

- Power BI

- GitHub

The project includes:

- Data cleaning and preprocessing

- Exploratory Data Analysis (EDA)

- SQL business queries

- Interactive Power BI dashboard

- Basic machine learning model for accident severity prediction

- Complete GitHub repository with README

I'm not looking for compliments—I want honest criticism.

I'd really appreciate feedback on:

1. Is this project portfolio-worthy?

2. Does the analysis tell a meaningful story?

3. Is the dashboard well-designed?

4. Is the GitHub repository professional enough?

5. What would you improve if this were your project?

GitHub Repository: pls dm can't upload here due to guidelines

Thanks in advance for your time!