Karan Bhandari
- Overview of tips
- Recommended resources: Book, Summary, Podcasts
- Networking opportunities
- Tips: Webinar tips, github, be noticed in in-person events, project ideas, Stackoverflow, youtube, blog, freelance, interview
Physical | Projects | Profile | Participation | Education |
---|---|---|---|---|
Biz Cards | Github | Behance | Webinars | Udemy/ Coursera |
Brochure | Cloud | Art-station | Meetups | Kindle/ PDFs /git |
Resume | Fiver, freelance | HackerEarth/ Kaggle | tutorialpoint, geeks4geeks |
What Color Is Your Parachute 2020
- Social accounts ought to be professional
- Thy name should show results on Google
- Bio on LinkedIn
- Change the wording on your CV and Cover Letter
- Network of people
- First identify your skill and your "joy"
- Increasing your presence in LinkedIn groups
- share interesting articles
- researching the company: press releases, find out what is being said about them online. Look up the employees you could be working with on LinkedIn Note: This will only appear in the speaker notes window.
- be-the-lion-of-the-tech-food-chain
- http://ocdevel.com/mlg
- Toolsday
- Sql
- aws and AwsReinvent and Aws
- brandcreators
- More...
Web/mobile | Big Data/ML | Cloud | Forums | Clubs |
---|---|---|---|---|
ReactJs | Kafka | IBM | MillMams | Rotary |
Android | Analytics | Medicousel | Toastmasters | |
dotnet | Disrupt | aws | ||
azure |
https://github.com/nikitavoloboev/find-work
- Ask questions that could project your technical prowess.
- Sometimes answer the questions of other participants.
- bring up one of the github issue they are experiencing
- talk about a competitor feature and even offer to help them to implement.
- Use azure web app or AWS Lamda function or Azure function for free computing
- Use AWS Dyanamo- db for free DB
- Blob/s3 for free storage
- Azure devops / gitlab for free building
- Install git/sourcetree and VS code
- Start Contributing to docs
- solve an issue
- make presentations on git
- Have a business card
- Research/study the product prior to the event. Prepare Q&A in advance
- Look the linkedin profile of the speaker
- Ask on how can you collaborate to the product community
- Be close to the speaker and try to complete sentences when he looks at audience for answers or is stuck himself.
- Take up projects on freelancing
- Convert some devantart/dribble projects to life
- Solve github issues on some repos
- Take inspiration from family/peer's family/use to tool to realize webinar
- Make sense of datasets
- How can you help during Pandemic
- When you google for solutions, appreciate those who have answered your question
- Search for topics you have mastery on - answer them.
- If an example is explained loosely - without code - try to link it to your github repo with examples
- When you are stuck and oblivious of solution – post a question online
- Camstudio , screenomatic, one note to capture your screen
- Edit using Openshot, Windows Movie Maker, Lightworks
- Images/Screenshots/Logos could be made using Gimp/Inkscape
- Even RevealJs presentations could be recorded with voiceover.
- Free Video transcript using google docs.
- Create a free web-app using azure or wordpress
- Blog about your projects, practicals, a solution you digitized, a thing you learnt
- Blog about a webinar you attended, coursework done
- Use grammarly to correct, cognitive services for voice to text.
- Collection of blog articles could be marketted as books
- Promote its link on social media
- Fiver
- Upwork.com.
- Freelancer.com.
- PeoplePerHour.com.
- Guru.com.
- TopTal.com.
- Codeable.io.
- Outsourcely.com.
- Truelancer.com.
- Have a tablet or smart phone with project videos handy
- Keep your three fold brochure handy and Three copies of your resume
- datastructure+algo: Go through "crack coding interview" book and geeksforgeeks.org
- Know one web framework (react or angular), know one high level (java or c# or python)
- DB (either postgre/oracle/sql), bigdata (spark or hadoop ecosystem or kafka or kinesis/athena/big query/data analytics)
- ML: start with auto ml or sagemaker then go to pytorch or tensorflow