I have planned to do my MSc in UK on information technology (business). I have 1.5 years as Major Incident manager and 1.5 years in Networking project, totally 3 years of experience in capgemini. After my graduation I am planning to take up a role as data or business analyst and prior to that i am planning to do DP -900 certifications from azure and other certifications. Any suggestions on this ?

My 70+ year old dad just got on Facebook and kind of rocking it! He is just on there spreading the positivity. Ha ha

And he only had to create 4 accounts to do it.

Is buying a used, low mileage Maserati Ghibli really that bad?? Not paying that premium msrp and being able to capitalize on the depreciation seems like a win and they are fun to drive imo

Hello! I’m looking for a female sports masseuse that has availability between tomorrow and next Thursday, does anyone have any recommendations? I’m a long distance running who has been training for a marathon on may 1st. I do have a car so I am able to drive if they are located in the greater Boston area.

Best sports game?

I'm a relatively new pharmacist and it's hard seeing so much negative feedback about this career path. Does anyone here have sage words of wisdom or actually genuinely enjoy what they do anymore?

I am doing my MBA on side. I am looking for ideas on what workshops or session series I can conduct that relates to exciting non work topics or work related (this would be boring though). If you have any other ideas throw it my way.

I have interview on 22nd of April as a Veeva Vault Dev,
Can anyone help me with Interview Questions and Role they are offering.

Thank You

Do we know who the new BBDO recruiter is? Thanks Chicago fish!

How is the data practice team at coforge. They told client is an insurance company.
Can anyone share more . about it.

My coworker consistently comes in 30min -1hr late every day. Plus they have the balls to take long 1hr or more lunches AND leave early. Our manager doesn't seem to notice. How do I bring this up?

Any advice on a first year trying to transition from family law to in-house? I always thought family law was my path, and used to enjoy it, but it’s not the direction I want to head in anymore. I don’t think I even want to continue with any litigation work. I’m having a hard time finding firms that are hiring entry level associate positions that don’t require at least 3+ years experience in-house. Should I start at a business law firm to get experience working with corporations first?

Up for an in house position at Big 4 consulting. What is the salary range? Anyone have insight? Anyone have insight on the work life balance?

London, Dublin, Luxembourg, Munich. Choose a place to move to from NYC. Fuck H1B.

Do you think getting SQL/Python experience is worth the extra time for financial analyst roles coming from Big 4 tax consulting? I would love to hear any advice for shifting towards the financial modeling path from accounting. Thanks!

Hi Fishes,

What is the difference between Siemens and STSPL? Are they same and has same work culture , salary slabs, benifits and WBL?

Hi folks,
Can anyone help for How's us bank account in synechron??

Hi sharks, can anyone refer me for .Net full stack profile in Optum gurgaon/noida location
Yoe 7.5 years

Hello All

Please give me 11 likes so that I can start direct DM.

Please help.

I need a refer for data analyst or MSSQL database job.

Thanks

Just saw that Airbnb's salary range for a 2+ years experience Data Scientist in US is 129k -180k USD.
In INR its 95L- 1.4cr. But in India do they pay even 30L to 4 years yoe?
Last year I saw such salary range for 4+ yoe in US. But in India its yet to increase.
In this quarter these companies have started negotiating in the name of US recession. Irony is salary range didn't decrease in the place where the recession is supposed to occur.
All these articles published in India are just to fool them

Microsoft Azure
Aws
Developer, administrator, architects

Remote support from india, for USA customer

Hey sharks,
How to get into freshers data science role as a non-tech professional?

Hello Fishes, is 15 LPA a reasonable compensation for Machine learning engineer (python, c++, computer vision and deep learning ) with 2 years of experience, current working for a product based company. If not what is the current industry standard. I keep seeing people posting 30+ LPA for data science roles with 3+ yoe.

Hi,
Can anyone tell me what kind of questions to expect in the 2nd round of interview with BCG Gamma for Predictive Analytics?

In the 1st round of interview, I was asked ML questions and basic Modelling approach on 2 cases.

Hi fishes

I want a referral in the data science domain. I have an experience of 2.5+ years in data science and analytics with skills in python, sql, data Analytics, machine learning and SAS.

Currently having a notice period of 1 month, I’m looking for a change.

Please let me know if you have a suitable role for me in your organisation.

Thanks.

Looking for thoughts.

I have 13 years of experience as a Business Analyst at various capacities (Regulatory, Data Verticals) in Banking with Bachelors degree in Accounting & Semi Qualified management accountant

Currently pursuing PGP in Data Science and in verge of completion.

Alongside I have got certifications in Cloud & Visualization tools.

Now I want to move completely to the Analytics/ML side. Will the companies consider my BA experience in Data & Regulatory experiences?

Hello All,

Can anyone refer me for data analyst role?

Have 1 year of experience in data analyst
Worked in advanced Excel,SQL and python and tableau.

Thanks

Hi Fishes,
I'm looking for a change and want to get into a DS role. I have 1.8 years of experience at a fortune 50 retailer and I am currently a senior analyst. I also have PGDM in finance, and my skills include SQL, python, PowerBI, tableau, familiar with Knime, Alteryx and also PySpark. I have done a DL project (CNN) in my master's dissertation and also have done projects with Regression too. I've been applying to companies via LinkedIn but not receiving any call back. Please advise!

Hi Fishes, need some likes to enable DM. Please help.

Give suggestions on companies to apply in Bangalore.
Want a transition from Data Engineer to ml engineer/data scientist.
Yoe - 1
Engineering- tier 1 nit
Skills:
AWS Associate solution architect.
Azure agile working environment.
Python, sql,Hadoop, spark big data, ci/cd pipeline, aws cloud computing
Regression, pca, knn, ensembles , decision tree etc
Currently working in pharma industry.
Please provide refrell if you have any.

Is there any channel/page where the data science interviews are updated.
Or shall we start it here and share your recent interview experiences related to Data Science and analytics domain? It would be really helpful especially for those who are into transitioning.

QBurst is hiring data scientists with 3- 6 YOE. Deep Learning, TensorFlow, PyTorch, ScikitLearn, NLP preferred. WLB is awesome, appraisals happen twice a year and permanent wfh option is there.
DM me for referral. Happy to help :)

Hi.. I'm currently working as Data Analyst in TVS. Most of my work in Advanced Excel only. How can I move forward myself into Data Science by learning new technologies or any courses? Please guide me

Any books/resources to understand the ML algorithms with the maths behind it?

Hi Fishes i am making a whatsapp group for the people who are transitioning from non-tech field to data science
If anyone would be interested plz join
And let's learn , and transition together

Agenda:
Putting self progress on the course they are doing ,so that others can be motivated and
Discussion on topics related to transitioning

Hi all

I am a java developer and really want to switch to data science, I am pretty familiar with python and started learning data analysis n all. Can anybody guide me how I can do this efficiently and effectively please, it will be very helpfull 🙂

Other than MAANG, which companies are good for the data scientists in India (both product and service)? Good in terms of project complexity, rigor of analytical approach, scale of problems, implementation opportunities, usage of latest tech stack, innovation, mlops best practices etc.