This podcast is created on the occasion of first national startup day and dedicated to startup rockstars to discuss their difficulties, capabilities and problems solving skills to the listeners. Community Link - thedatatalk.org

Sitting with data Science professionals and discuss their journey and this will help you figure out whether this field is really for you or not… Community Link- thedatatalk.org

Ravin is currently working as a data scientist with Google. Previously he have worked with SpaceX and SweetGreen. Being a graduate student in mechanical discipline and finding his way back to innovate in data science field is a remarkable journey we wish you will listen here. Also we have talked about his book and thoughts towards community. Hope you enjoy your next Half hour. Community Link- thedatatalk.org

Aviral is currently working as a head of data science in HT Media Ltd. He has previously worked with BCG, Absolutdata, Cognizant and MuSigma. We gain a lot of capable insights in this podcast and hope you will get similar idea too when listening….

Aakansha is currently working as a Data Scientist with Cipla, one of the capable firm in healthcare and pharmaceutical and she have managed to convert her internship with full time offer working with Mobicule and that too during her M.Tech ongoing… Hope this episode will help you get some great insights…

We have invited Aishwarya Nair currently working as a Data Scientist with Trivago and have previously worked with Flexiloan with Same profile. Have a strong logical and statistical capabilities, plus managed to transition from Art to Maths and Science to build a career out of Data Science…..

In this episode we have invited Aastha Khanna, currently working as Data Analyst with Bain & Company. She have worked with companies like EY, Capgemini and have a good understanding about power bi and Tableau. Hope this podcast will help you understand the basics of an Analytics field….

Today we have invited Gourab Dasgupta, Currently working as a tech lead (DS & AI) with Tata Consultancy Service. Previously worked with Cognizant and PWC as well and has explored his data science interest from coming out of a Electrical engineering background. A journey which you all can relate to if you are a non CS background student and wanna look data science as a career options….

Once again we have invited a guest who is currently working as a decision scientist in Fractal and has worked previously with HDFC AMC as a Assistant Manager. Her Name is Shubhashree Sarkar and being a part of the data talk community since she has been applying for different jobs in data science field…. You can join our community using the link http://thedatatalk.org

We have invited Samraat who is working as a Analyst in Risk Management with American Express. We are working as a community in thedatatalk.org as well and looking forward that you get the most insight out of it… here is a reference material provided by Samraat…. Resume Writing:

1. Interest Span -

- a person/HR spends 15-20 seconds going through the resume

- Prioritise, Rank, Summarise, relevant info to the job

- Education details should be put, but not at the beginning, whatever is most relevant and best selling point should be put on top

- Reverse chronological order

2. Rule of Relevancy - filtration

- Selection and elimination

- Elaborate on most relevant experience - add achievements for the relevant experience

3. Customisation

- “ I got what you need ”

- Use JD to add keywords into your Resume

- Space optimisation

4. Factual, Concise, To the point

- Career Summary

5. Super Target

Beating the Application Tracking System (ATS):

1. Single column format

2. Plain text

3. Apply to 1 job in one organisation

4. Keywords are the key - don’t add keywords that you don’t know, only keywords that can be justified if asked about them

5. Bold - keywords

6. Italics - things in a brackets or quotes or project names/title

7. Underline - certain titles, headings

8. Chronological order

9. PDF

10. Same font for all - Times New Roman, Verdana, Calimiri, Cambria - nothing less than size 10 or more than 12

Things to avoid to beat ATS:

1. Tables

2. Text boxes

3. Logos

4. Images

5. Graphics

6. Headers or footers

7. Fancy headings