I help people transition into Data Science & Analytics, quickly & easily...

> Data Science Infinity: https://www.data-science-infinity.com/

> 60-minute Data Science Career Training Session: https://training.data-science-infinity.com/register

> AWS For Data Science & Analytics: https://bit.ly/aws-data-science-analytics

> 2 hour Python, Data Science & ML Intro Course >> https://youtu.be/OSbUA5Q9Cec

Feedback from students:

"I landed my role at Amazon totally thanks to DSI" - Andrea (DSI Student)
"The best program I've been a part of, hands down" - Christian (DSI Student)
"I've learned more than on any other course" - Erick (DSI Student)
"One of the best purchases towards learning I've ever made!" - Scott (DSI Student)

About Me: 

15 years in Data Science at companies including Amazon & Sony PlayStation where I developed and prototyped Machine Learning based features for the PlayStation 5 - several of which have been patented by Sony. 

I've interviewed & screened hundreds of Data Science candidates, and through this process have learned exactly what can differentiate a standout & successful candidate from the rest. 

I authored "The Essential A.I. & Data Science Handbook for Recruitment"​ 

Throughout my career, I've had the opportunity to mentor fellow Data Scientists; from their entry into the field, to developing their technical & non-technical skill-sets, as well as providing guidance around preparing for, and being successful with promotions and interviews.​

Please do reach out for support & advice - I'll be happy to help!

Andrew Jones

Aspiring Data Scientists. Yes, you do need to learn some math.

There is no getting around that.

It underpins a lot of what we do in the field.

But, don't be scared off by this.

You DO NOT need to spend a year reading dusty textbooks before you're allowed to progress, build things, or land your first role.

Don't let anyone tell you otherwise.

Start with statistical concepts such as distributions, hypothesis tests, the central limit theorem, confidence intervals, and probability. 

They are the foundations.

From there, start introducing more advanced mathematical concepts, such as Linear Algebra

But, do this as you start applying things like ML algorithms.

It's so much more enjoyable learning while you're testing and modifying things and seeing what changes and why.

You've got this!

💼 Most Data Scientists don’t fail interviews because they lack skills… they fail because they miss this.

After years of interviewing hundreds of Data Science candidates,  I’ve noticed the same patterns over and over again.

Here are the 5 biggest mistakes that stop talented people from landing roles (and how to fix them 👇).

If you’re preparing for your next Data Science or Analytics interview, this one’s for you!

Swipe through and make sure you’re not making these!

🚀 Want to fast-track your career and land your first (or next) data role in 4–6 months?

Join my free Data Science Career Webinar where I’ll show you exactly what skills, projects, and strategy hiring managers are looking for:
 👉 https://lnkd.in/ekp-jmD2

5 most common mistakes

Tata Consultancy Services

Assistant System Engineer

Assistant System Engineer Trainee 

Technogeeks

Internship Trainee

Data Science | Python | Assistant System Engineer

♦️ About Me:
I am a passionate learner with a strong foundation in Python programming, machine learning, and data engineering on the Microsoft Azure platform. With hands-on experience in Python concepts, data analysis, and Azure Data Factory, I excel in delivering efficient and impactful solutions. I am adept at leveraging libraries such as pandas, seaborn, scikit-learn, and NumPy to extract meaningful insights and create data-driven strategies. Continuously expanding my knowledge and expertise, I am always eager to acquire new skills and stay at the forefront of the industry.

♦️ Technical Skill Set:
Python | Data Analysis | Power BI | Machine Learning | Microsoft Azure | Data Visualization | Power Automate | Data Science | SQL

♦️ Recent Achievements:
* Recently completed Databricks Lakehouse Fundamentals certification from Databrics Academy.
* Recently completed the DP-203 certification as an Azure Data Engineer, showcasing expertise in Azure Data Factory, Azure Data Lake, Azure Databrics and Microsoft Azure SQL Database.
* Demonstrated proficiency in SQL and PL-SQL by obtaining the Hacker Rank Intermediate SQL certification.
* Continuously expanding my knowledge and expertise in Data Engineering, Data Science, Machine Learning, and related domains.

I am a quick learner and always enthusiastic to develop new skills. With my expertise as an engineer, I have honed my ability to efficiently tackle challenges and provide effective outputs. I am excited to leverage my technical skills and expertise to drive innovative solutions and contribute to the success of data-driven projects.

Let's connect and explore opportunities to collaborate on groundbreaking projects that make a lasting impact!

taplio

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Andrew Jones

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taplio

The Battle

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Lalit Kate

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Engagements

Likes

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