Director of Engineering
Climate X (London, UK)
Leading the engineering team to design, build, and scale the codebase and infrastructure underpinning Climate X 's ability to deliver climate-related risk data and analytics.
About Me.
Automation Solutions Architect
Hi, I'm Aatish – a client-facing Analytics Specialist and Solutions Architect. Since 2013, I have worked closely with clients across a number of sectors, undertaking roles in Quantitative Analysis, Data Science, Analytics Engineering and Cyber Security.
Having started out my career in Wealth Management, my own introduction to Artificial Intelligence (AI) was entirely incidental. As I moved from role to role, I began to recognise a pattern between my various projects: the requirement to collect and process voluminous quantities of data.
For my clients - ranging from the older and more traditional industries to small start-ups at the edge of disruption - finding a way to analyse this data had become critical. And so I turned to Artificial Intelligence - not a new technology by any means - but one that had made great strides in recent times, thanks to a drastic increase in consumer-level computational power and the easy availability of vast swathes of data.
It was here I found a surprise development: the technology I had chosen was just one of many new data-driven technologies powering what the World Economic Forum (WEF) termed the 'Fourth Industrial Revolution'. This new and impending era of smart 'cyber-physical systems' was to be defined by industries including genome editing, biometrics, renewable energy, autonomous vehicles, 3D printing, the Internet of Things - and at the heart of it all - Artificial Intelligence.
Since the WEF's announcement, AI has only continued to exert its dominance in underpinning the world's smart systems. Today, as it becomes increasingly clear that AI is here to stay, stakeholders in industry, business and wider society are fully embracing the technology. But before they can take off, these stakeholders will have many questions that need answering. How do I get started? Where will it be effective? What data do I use? How much does it cost? How safe is it?
As 'The AI Guy', my mission is to help democratise AI, and bring a logical approach to advanced analytics for my clients. Whether that involves a better understanding of your data landscape, a roadmap for securely implementing AI, or the creation of a cost-effective & scalable architecture, my aim is to at least get you to the AI launchpad.
Together, we can negate the complexities surrounding AI and harness the power of this incredible technology to benefit you, your business, and those that rely most on the services you provide.
Bio Bits
- NameAatish Thakerar
- NationalityBritish
- ResidenceLondon, UK
- MottoLive, Learn, Evolve
- Best QualityAdaptable
- Favourite CompanySpaceX
Testimonials
Aatish was a great colleague to work with; providing insight, expertise, subject-matter knowledge, polished publications, and most importantly humour. His commitment to go above and beyond not only improved the quality of the products we were working on, but also the people around him.
Aatish is a skilled, enthusiastic professional that I had the pleasure of working with at Accenture. He is innovative, dependable, and the attention he gives to clients is personable and thorough. It will be a thrill to see his company grow, and I highly recommend him.
Aatish's can-do attitude was extremely positive. He took time to understand the problem space from a business perspective first, communicating clearly with the client, before applying his methods of data sourcing, sampling, classification, enrichment, cleansing and modelling.
Aatish's analytical mindset, attention to detail and meticulous knowledge of data and AI made him a true asset to the team. He was able to rapidly grasp the client's requirements, and to provide a comprehensive evaluation of their current security provisions.
Aatish is very trustworthy and consistently demonstrates strong leadership qualities. He was responsible for explaining complex concepts at a high-level to students, and adapting his methodology when members of the class encountered difficulty. We felt very much taken care of.
My Resume.
Experience
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Present 2021
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2022 2020
Co-founder & CTO
WiiA (London, UK)
WiiA uses AI to help consultancy firms save thousands of hours in proposal preparation, allowing them to automate process, elevate proposals and win more projects.
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2021 2020
Senior Consultant, Analytics & AI
Capgemini Invent (London, UK)
Senior AI specialist leading technical project delivery across the Public Sector. Workstream lead for AI Development client offers, from PoC to industrialisation.
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2020 2017
Cyber Security Consultant
Accenture (London, UK)
AI specialist in the UK Security Practice. Worked with 10+ clients across projects in Strategy, Product Creation & Development, Third-Party Platform Integration, and Objective-led R&D.
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2016 2014
Technology and Business Analyst
GfK (London, UK)
Analysed complex datasets using statistical software and pre-built modules for analysis in R and Python. Investigated quantitative trends in data, presenting them to the UK Head of Technology.
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2014 2013
Research Executive
Campden Wealth (London, UK)
Segmented & analysed raw data from client-facing quantitative and qualitative research. Co-authored three full reports on Wealth Management sponsored by global financial institutions.
Education
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2017 2016
MSC Computer Science
Queen Mary University of London (London, UK)
Architecture & Networks; Data Structures; OOP; Systems Design; Database Modelling; Artificial Intelligence; Distributed Computing; Cloud Computing. THESIS: Using Neural Networks in collaborative multi-agent environments.
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2016 2015
Essential Mathematics 2
The Open University (UK)
Mathematical typesetting; Number theory; Conics; Statics; Geometric transformations; Topics in Calculus; Differential equations; Mathematical language and Proof; Dynamics; Eigenvalues; Combinatorics.
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2016 2015
Essential Mathematics 1
The Open University (UK)
Algebra; Graphs and equations; Functions; Trigonometry; Coordinate geometry and vectors; Differentiation methods and integration; Integration methods; Matrices; Sequences and series; Taylor polynomials; Complex numbers.
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2013 2010
BA English Literature
University of Nottingham (Nottingham, UK)
Language Acquisition; Stylistics; Old/Middle English; Norse Literature; Shakespeare; Post-Millennial Texts; Applying theoretical criticism.
Certificates
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2027 2019
Solutions Architect - Associate
Amazon Web Services (AWS)
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Present 2015
Advanced Higher Certificate in Market and Social Research Practice
Market Research Society (MRS)
Technologies & Frameworks
Python (Pandas; NumPy; Scikit-learn; TensorFlow; Keras)
UNIX Bash scripting; Git
Data Visualisation (Tableau; Microsoft Power BI)
Amazon Web Services (AWS)
Docker; Kubernetes
SQL (MySQL; PostgreSQL)
NoSQL (MongoDB; Apache Cassandra; Neo4j)
Apache Spark (PySpark); Apache Hadoop (Parquet)
Java; R; C
HTML; CSS; JavaScript (JSON); XML; PHP
Services Offered.
The services detailed on this page span a number of disciplines, and can be flexibly arranged into a definable scope of work. The exact nature of each offering is tailored to meet specific needs of the client and/or project. Costs are calculated through a transparent pricing framework.
Please get in touch to find out more!
Services
Data Science
Statistical analysis, AI Model generation and Algorithm implementation. Data-driven approach to discovering actionable insights in a specific dataset or across your data landscape.
Solutions Architecture
Holistic approach to planning and building sustainable, cost-effective Tech Architecture - robust enough to withstand the varying demands of automation-based deployments. Phase-based service.
Analytics Engineering
Lower-level development of code, program packages and/or basic software. Can be tailored to a business-specific task. Code review for existing automation-based deployments also available.
AI for Cyber Security
Use your existing data and the capabilities of Machine Learning to better predict and prevent unauthenticated and unauthorised access to your systems. Available in advisory or technical capacity.
Cloud Scaling AI
Create new AI-based deployments or migrate existing ones to the Cloud and take full advantage of scalability and vendor-managed services. Currently available for AWS, more vendors coming soon.
Data Review
Assess your data landscape against industry standards in data hygiene, data quality and data security. Review your data's readiness for automation, with a near-term roadmap of next steps.
Intelligent Automation
Tailored planning for near, medium and long-term automation of existing business processes and workflows. Review potential automation types per workflow, with detailed assessments of each.
Teaching AI
Get business leaders, employees and stakeholders thinking at a high level about how to prepare for and approach the increasing use of AI in industry and wider society. Available as workshops and/or seminars.