Common Mistakes While Preparing Data Science Resumes

Key Takeaways

hello all my name is krishnak and welcome to my youtube channel so guys from past two weeks i have been reviewing lot of resumes for roles related to data science data analytics even data analyst business analytics business intelligence developer and many more now with respect to this i'm really going to discuss about some of the very very common mistakes that people are doing because i've reviewed around 200 plus resumes and i could see these particular mistakes in every resume as such so i'm going to note down point by point over here with respect to all the mistakes the first and the foremost mistake is that the github link right when you're giving the github link suppose if i go to the github link it lacked explanation about your project explanation about projects that basically means if you know the readme file over there the readme file inside your github projects were completely empty see you guys now what is the problem over here suppose if i'm in the recruiter you have created some kind of project over there just written the title how will the recruiter understand that what kind of project you have actually implemented you have to basically upload the entire information in the readme file with respect to your goals with respect to what you have actually done if probably you want to implement that specific project itself how what should be the steps of installation everything that needs to be put up over there and whatever i have seen many people all the people have actually put up the github link but no explanation about the projects that they have mentioned because understand yes we know that those are poc projects you really need to put a lot of information inside that okay so this was the major major one i think everybody just handful of people had given about their project explanation but other than that many people know the second thing is that project description in the resume was lacking okay now when i say project description first of all it lacked the aim or goal what do you want to do in that space why you are actually doing that particular project what is the final aim what is the final goal if it is a poc project why it is being basically created if a fresher is actually doing why he's doing you know at least he should say that he's doing actually this particular project for his final year for his competition different types of competition or hackathon anything as such no no information regarding the aim and goal so definitely this does not give any purpose for the recruiter to see because understand technical recruiters will be trying to find out what kind of use case you are trying to solve and how that is actually solving some specific problem and what is the main exact thing so those kind of information was actually matching then the project description was completely lacking basically the end to end project information was lacking okay cloud details cloud details or i'll say deployment details were lacking okay deployment details were lacking and i'm telling you guys you have to really focus on more end to end project so deployment details were lacking regarding the end-to-end projects right and in description very vague like sentiment analysis sentiment uh recommendation engine that's it why how for which how it is integrated whether it is integrated to the mobile app to the web app because all those things is an ai module right you cannot just use it independently you have to integrate it with some kind of mobile app or web app so the second main problem was with respect to the project description the third one was regarding the skill set now people use different different skill set okay now skill set basically means that what kind of skills you're actually using in that okay like python programming language probably you're using some kind of libraries you're using some kind of techniques in that all those things and skill set also people have that conducive you know conjuring basically means that they're not writing the entire skill set yes in the project information if they're writing deep learning regarding deep learning knows none of the skill set is matching your skill sets itself because understand even if you put your resume in an ats system right what it will do is that it will also try to find out the skill sets over there it will try to match that along with your project description so skill sets were lacking okay so please make sure that you put up skill sets because it is just a two words right you need to put up some extreme good skill sets like let it be nlp if you have worked in nlp deep learning machine learning everything you really need to write it down over there very much easily okay this is the thing now fourth one was that this was a pretty interesting one and probably this will be very very helpful when you will be doing your fine tuning of the resume okay fine tuning basically means suppose i see a job profile and i really want to apply for that particular reason for that particular job so what i'll do a little bit fine till my resume but right now whatever resume i was seeing it was it was more towards centric use cases or it was more towards screen centric skills suppose one of the you one of the resume i saw they had only focused on ml machine learning but in the skill set he has written deep learning also right so in one of the resume he has more focus towards nlp but he knows machine learning and deep learning by default you need to create a resume which is very much centric to the data science techniques all the data science techniques let it be nlp deep learning and all later on you can actually do the fine tuning based on the job profile okay so this is also very much important okay and some people the resume they've just written they just created just for okay there is a purpose and finally then just need to create one resume they just created it for time sake you know just create it for fun right just they have added some vague information one person has just added information like from which college he is actually studying and what all certification he did and what is the skill set that is this three information and done resume created for fun okay so please don't do this one more thing which i could see only hardly in some of the resumes is that they were doing open source contribution so open source contribution in most of the resume were missing what missing open source contribution okay there are various ways not only going and probably you you don't have to just contribute through some github probably solve some issues no start creating some tutorials videos right start writing some vlogs hardly i could see some people writing some vlogs out of that 200 i think only 10 people 10 people were writing vlogs so vlogs i'll also say it was missing okay vlog sorry blog not blog blog blogs blogs writing was missing understand if you write more and blog blogs you will be able to explain the recruiter in an amazing way right so these are some of the things that i found out with respect to the common mistakes while preparing data science resumes please make sure that you fix all these particular issues and definitely you need to work on this guys if you don't work on this you will not be getting calls trust me because now there are a lot of people who are applying for data science jobs and wherever people will be writing this kind of information they resume and get selected more easily so i hope you like this particular video i'll see you in the next video hi and please make sure that you follow all these particular strategies till then have a great day thank you and all bye