Hi Vishwak,

Hope you are doing well.

First of all you need to identify your strength and interest area, whether it is in AI/ML or full stack or in front end or in backend. Than you need to approach accordingly.

I can guide you for full stack, BE or FE field. If interested we can connect over a free trial to discuss more on this.

Thanks,

Nishant Varshney

Hi Vishwak,

From an HR perspective, candidates seeking recognition in AI/ML, Data Science, or software roles should prioritize hands-on project experience showcasing their technical skills and problem-solving abilities.

A diverse portfolio demonstrating proficiency in full-stack development and AI/ML techniques is crucial for standing out in competitive job markets.

Continuous learning and staying updated with industry trends are paramount to remain relevant and competitive.

Networking within relevant communities and participating in industry events can provide valuable connections and opportunities for referrals, which can significantly enhance a candidate's prospects.

When applying for positions, candidates should tailor their applications to match the company's needs, emphasizing their passion, adaptability, and strong work ethic to effectively capture the attention of recruiters.

Hi Vishwak,

It all depends on the interests that you are inclined. There are 3 main streams within the market to conquer which are data engineers, data scientists and data analysts.

Data Engineers - DWH, ETL, Cloud ETL (Azure, AWS, GCP).

Data Scientists - Coding, Scripting languages and many more.

Data Analysts - Analyzing the data and drilling down for predictions and forecasting. Reporting tools could be considered as an option here.

If you are interested with persuing as Data Engineer, please book a trail session with me to take this discussion forward.