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

The Data of Life 🌱

Founder

As a freelance data scientist, I have had the opportunity to collaborate with diverse clients and organisations across various industries. My projects have been tailored to meet specific data-driven objectives, and I have consistently delivered valuable insights and solutions. These freelance engagements have allowed me to apply my expertise in data analysis, machine learning, and statistical modeling to solve complex business challenges. I have a proven track record of leveraging data to drive informed decision-making and achieve tangible results for my clients. My work in the freelance domain reflects my adaptability, problem-solving skills, and commitment to delivering high-quality data science solutions on time and within budget.

Independent Academic/Data Scientist

Mpowa

Collaborated on the creation of a Crime Prevention MVP utilising AI and data analytics.
Initiated and contributed to the development of an NFT Recommendation Engine.
Pioneered the creation of an Environmental, Social, and Governance (ESG) Predictor model.
Led research and development efforts for a Fraud Detection system employing advanced AI algorithms.
I also had the privilege of contributing to projects involving sensitive data analysis, including initiatives related to gender-based violence (GBV) and other confidential endeavour's.
These undertakings were focused on advancing AI and Data Science applications, including facial recognition and biometrics, which hold significant importance in domains such as security and identity verification.

Senior Researcher in Ai and Data Science

Kingston University

Senior Lecturer & Ethics Reviewer

St Mary’s University, Twickenham

To undertake mathematics subject leadership and to develop a centre of excellence for the subject.

Senior Lecturer/Postgraduate Co-ordinator

Raspberry Pi Foundation

Raspberry Pi Certified Educator

Harris Federation.

Consultancy

University of Roehampton

Lecturer/Programme Leader

National Assembly for Wales / Cynulliad Cenedlaethol Cymru

Administrative Officer duties included: scanning correspondence; updating records; providing briefings and correspondence for Members of Parliament.

In a world grappling with environmental, social, and economic precarity, "The Data of Life" emerges as a clarion call for transformative action. As its founder, I blend over 20 years of expertise in mathematics, education and ethics, complemented by my recent 5-year journey into the field of data science. This unique combination fuels my profound commitment to understanding the dynamic interplay between human behaviour, technological innovation, and the natural world. 

My forthcoming book and ongoing work are dedicated to empowering individuals and communities to leverage this knowledge, fostering resilience, sustainability, and growth. 

Mission-Driven Approach: At the heart of "The Data of Life" resides a vision to democratise data understanding, transforming the science of resilience accessible to all. By exploring the synergies between panpsychism, embodied cognition, and ethical data practices, I aim to inspire a paradigm shift towards holistic and sustainable living. This approach not only confronts global challenges but also illuminates the path for individual and collective empowerment in shaping a more secure future.

Expertise & Innovation: My transition from a celebrated academic career in mathematics to a pioneering role in ethical data science reflects a deep-seated passion for innovation that benefits humanity. With proficiency in critical programming languages and machine learning technologies, I am at the forefront of developing solutions that marry technical excellence with ethical integrity. This dual focus ensures that our engagement with data actively contributes to the well-being of society and the planet.

Engagement & Leadership: I am committed to leading by example, fostering a community of learners and practitioners who are equipped to navigate the complexities of our digital and natural ecosystems with ethical foresight. Through mentorship, public speaking, and active participation in global forums, I champion a culture of ethical data use, continuous learning, and shared responsibility.

Personal Journey & Recognition: Beyond my professional endeavours, I find joy in exploring the arts, embracing new cultures, and connecting with the vibrant global community of data scientists and ethicists. My contributions to creating an inclusive and ethical data science landscape have been acknowledged with awards and speaking engagements, including the prestigious Women in Engineering and Computing Award at Brunel University in 2023.

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The Battle

Andrew Jones

Dr Syreeta Charles-Cole

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taplio

The Battle

Andrew Jones

Dr Syreeta Charles-Cole

Followers

Posts

Engagements

Likes

Performance Score.css-goub6s{font-size:var(--chakra-fontSizes-md);font-weight:500;color:var(--chakra-colors-gray-600);display:block;margin-top:var(--chakra-space-1);}Andrew Jones's LinkedIn Performance

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