What is my role called???

Hey guys i am a data annotator at a startup do you guys think this role has any future or should i switch ASAP? If anyone else is in the same role how much are you making annually,do you know anyone who make above 4 lpa I make 2.4 lpa Thanks

I am a fresher working as a Data analyst in a growing startup. My current role doesn't include much of coding just python and SQL and sometimes little bit ML work. Currently handling 2 projects, and some of PM work to define some roadmaps. I like engineering and coding in whole and want to know more. So do I switch to some SDE role or is there are more paths after Data analytics? I know ML, DL and NLP but not sure will it be a great choice to make career primarily in Data science. So, I am little confused. Please give all good advices. Thanks A curious Engineer

I am a fresher working as a Data analyst in a growing startup. My current role doesn't include much of coding just python and SQL and sometimes little bit ML work. Currently handling 2 projects, and some of PM work to define some roadmaps. I like engineering and coding in whole and want to know more. So do I switch to some SDE role or is there are more paths after Data analytics? I know ML, DL and NLP but not sure will it be a great choice to make career primarily in Data science. So, I am little confused. Please give all good advices. Thanks A curious Engineer

I have 4 YOE on data analytics/ data science ( out of these 2 in Amazon - current company). Current position - Business Analyst, but doing work in Data Science domain using SQL, Advanced Excel, Python, ML, NLP, AWS, Tableau etc. Now I want to switch in Dream Companies like Microsoft/ Google. Can you please suggest me which are the suitable roles for me (there are so much confusion in designation names). Furthermore I need suggestion on how to be prepared for the interviews for these companies?

Hey community, I'm a Fresher just graduated from a reputed NIT in May, and I've been laid off because of "management reasons" from a reputed MNC. My role therein was of an ML Engineer. I have about 5 months of experience and I'm looking for a role in data analytics or something similar. I'm currently in Bengaluru but I'm open to relocate anywhere. If there is anything that can be done to help me please please let me know. I'm new to the tech industry and I really am lacking a mentor. My pay at the previous company was about 11.5 lpa. Thanks guys.

Share your progress - the journey. - Where did you begin and where are you now? - What motivated you to go the extra mile? - Where do you see yourself in the next few years? - What did you do differently then the rest of the pack? This can serve as a motivation to those of us who wants to improve and as a appreciation for some of us who made themselves a stellar career. Eager to hear your stories. 🔥

What exactly should my role be called if I work on all of the following(I work in a Series D startup) ML(mainly Computer Vision and Image Processing related stuff but other domains like NLP might also arrive in the future). But we just fine tune models on our own annotated datasets(sometimes public ones) and use them in our flows and create pipelines, we don’t “create” models as such. Data Science(data extraction, cleaning, exploration, feature engineering following all of this with ML based predictions) Data Engineering(Data warehouse related stuff e.g. working with Airflow and creating DAGs, recently created a table which keeps our elk logs for a particular use-case in our redshift DW)

Hi all, This question is for people who have been in this field (any form of analytics) for a few years. My background (You can skip to the next section and jump back for reference here): Role: Data Scientist/Analyst Tech stack: Python (ML), SQL, Tableau YOE: 2 years Work: Started here as a fresher. Being in a service based company, we offer analytics solutions. I have worked to create a clients data pipeline(No code tool), to maintaining it, creating dashboards (Primary task) and ML models (Based on any major change in metrics). Salary: On the lower spectrum (Definitely!) Reason for this post: I would call myself good with tools but lacks industry knowledge and the maturity to actually be in analytics. I do decent, but I have to depend on my manager sometimes to understand the business and provide correct solutions. But I guess that is how it is in case of any fresher starting out? Question: Is pursuing a 2 year MBA (Targetting only Tier 1 colleges) a good idea for someone who is already working in analytics for 3 years (by the time I join an MBA program)? Please share your thoughts. Context to the question: I've discussed with someone who did their MBA and works in analytics for a bank now. And according to them, the best way to progress in analytics is to choose a domain and stick to it. And to reset my career, I should do an MBA. This will help me get an understanding of all the domains, improve my soft skills (and time management, etc.) and also give me a good place to start fresh. And they say it will help me in the future as well, as it gives me a very good alumni network. I'm considering this because of my ability to network has not been that great and also to get the domain knowledge they said I'll be getting. But is it really worth it considering I lose 2 years salary, and salary growth and also have to spend a big amount. Thanks in advance to anyone who replies!