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Data Scientist & Tech Enthusiast

Rishan
Shah.

Building intelligent systems at the intersection of machine learning, data science, and real-world business impact. Based in the UK.

At a glance
7+
Years in industry
3
AWS certifications
MSc.
Data Science
4
Companies
Specialisms
Python PySpark ML Deep Learning NLP RL Graph ML AWS
01

About

Thanks for stopping by! Here you'll find some of the things I've made and been involved in. I love all things Data Science and have a deep interest in Cosmology and Theoretical Physics.

Rapidly progressing in my knowledge of cutting-edge techniques in data science — always willing to sponge up whatever knowledge more experienced people are open to offer.

I've worked across FSI, Real Money Gaming, travel, and banking industries, bringing machine learning to real, tangible business problems.

Python PySpark Machine Learning Deep Learning NLP Reinforcement Learning AWS Graph ML Time Series SQL
02

Testimonials

"

Rishan is self-motivated and thrives to learn and share knowledge wherever he can. His continuous hunger to learn and innovative thinking by applying AI & Machine Learning to solve real-life problems will be valuable for any company he is part of.

Perumal Kumaresa
Perumal Kumaresa
"

I've rarely met someone that can grasp new concepts as quickly as Rishan. This along with his well-developed mathematical intuition made working with him a genuine pleasure.

Stefan Blaginov
Stefan Blaginov
"

Rishan was a core asset to the Payments Data Lab at Santander. His ability to apply advanced machine learning to applicable business problems was invaluable.

Jonathan Orritt
Jonathan Orritt
03

Project Spotlight

Reinforcement Learning Project
Featured Project

Deep Q Reinforcement Learning for Dynamic Pricing

Explored how reinforcement learning works and built a Deep Q model that optimises price based on a cost-sensitive Poisson arrival distribution — a self-driven project pushing into the frontier of applied RL.

View Project →
04

Something Interesting

Network Analysis
Research Article

Network Analysis: Watford's Vehicular Road Network

Applying Network Science techniques to vehicular road networks to establish vulnerabilities.

Read Article →
LSI
Technical Article

Latent Semantic Indexing with Weighted Cosine in Low Rank Approximation

Approximating sentence matches with word-importance weighting in compressed form.

Read Article →
Calendar API
Side Project

Oshwal Calendar — NodeJS Subscription API

A calendar subscription API for community events, deployed on Heroku.

Subscribe →
05

Experience

Reply
Reply
Dec 2021 – Present
  • Time series forecasting and association rules.
  • Graph Machine Learning across FSI and Real Money Gaming industries.
  • AWS Machine Learning – Speciality accreditation.
  • AWS Certified Cloud Practitioner & AI Practitioner accreditations.
  • Dataiku ML Practitioner accreditation.
TUI
TUI
May 2019 – Dec 2021
  • Engaged with NLP use cases across the business.
  • Reinforcement Learning using gym, coach & tfagents.
  • Extensive use of AWS SageMaker.
Santander
Santander
Sep 2017 – Apr 2019
  • Hadoop and Spark for cleaning and enriching large-scale data.
  • Insights via scikit-learn, pandas, plotly, seaborn, keras and tensorflow.
  • Worked within Agile team methodologies.
CACI
CACI
May 2017 – Aug 2017
  • Delivering weekly reports to senior managers.
  • Insights through Adobe Analytics and Google Analytics.
  • Digital marketing strategy analysis for client websites.
06

Education

🎓
BSc. Mathematics, Operational Research & Statistics
University of Cardiff
🎓
MSc. Data Science
University of Exeter
07

Skills

Python
95%
PySpark
95%
SQL
100%
Data Science
85%
Machine Learning
85%
Deep Learning
75%
AI Engineering
80%
Git
90%

In Conclusion

Rapidly progressing in cutting-edge data science techniques — always willing to sponge up whatever knowledge more experienced people are open to offer.

Guiding Principles

  • Data Science is not Rocket Science — you only need to know which tools and technologies to use.
  • Data Science is not for the well-learned, but the data hungry.