Muhammed Miah
London, UK
I have a passion for AI and transforming its research into impactful real-world applications. I am
experienced in building scalable, fault tolerant distributed systems that deal with large data
volumes, having been programming for 9 years with Python, 6 with the PyData stack and 3 with
Spark.
With data science, I have full-stack experience spanning the construction of robust ETL and data
pipelines, and the development of associated visualisation tools based on real-world data. In
summary, I build data products, productionise data science solutions and have extensive experience
in the field of data engineering and machine learning.
Employment History
Coda Platform, London
Lead ML Engineer
Nov 2019 - Nov 2020
● Initiated the startup's data science function. I grew out the team and designed and
implemented the architecture behind the ML systems. This streamlined development work
and led to ongoing LTV, Retention, ARPU and IMPU improvements.
● Productionised ML models in both the cloud and edge (mobile) devices, embedded within
our SDK. Models include predicting LTVs, categorising new games based on their screenshots
and an optimised monetisation setup for games.
● Integrated segmentation within AB Testing, so that each user segment can be served the
optimal player experience.
● Evangelised good research practices, enabled data-driven decisions and fostered a fun and
collaborative culture.
IG Index Ltd, London
Data Science Team Lead
Jun 2019 - Oct 2019
● Grew the company’s Data Science department, and managed the Operational Data Science
team.
● Trained, coached and mentored individuals within my team and around the company as well
as enforced best practices of data science and data engineering.
● Serviced the teams: Pricing, Market Making, Trading Platform, HR as well as senior execs.
● Built data products and data science solutions, including: Marketing Tracking & Analytics ,
ROMI, Single Client Model , Client ID Resolution , Collaborative Filtering (Recommender
System) , Pricing Latency , Chatbot , Propensity Models
● Provided first visibility of many metrics within the company, in an automated and reliable
system .
Muhammed Miah
IG Index Ltd, London
Senior Data Scientist
Jun 2018 - May 2019
● Designed, implemented and maintained robust infrastructure and pipelines for massive data
processing and analysis using Spark, GraphFrames, Oozie, Yarn and Zeppelin.
● Performed statistical analysis on TB-scale datasets (e.g. marketing touchpoints, trades and
user data) to find insights, do data visualisation and inspire research into more efficient
marketing.
● Was the go-to person to fix and work on the toughest issues such as debugging missing or
corrupt data, re-engineering pipelines to be more efficient and fixing scaling issues.
● Worked with research scientists to implement Machine Learning models such as Linear
Regression, RFM and clustering.
IG Index Ltd, London
Data Scientist
Nov 2015 - May 2018
● Increased ROI of marketing spend by 25% YOY by creating a bespoke marketing attribution
system (a Java ETL process) that tracks the granular marketing conversion metrics.
● Created a Client Entity Resolution system to track visitors across devices, increasing matches
by 12%.
● Languages used: Java, Python, PostgreSQL, Oracle SQL, Microsoft SQL, Spark-SQL
● Technologies used: Spark, HDFS, GraphFrames, Neo4J, AWS
● Other: Adobe Analytics, Adobe Audience Manager, Salesforce Marketing Cloud
Further employment:
● Data Scientist at Lyst Ltd (London) between Jun to Aug 2015
● Senior Developer at Lastmarch Ltd (Southampton) between Jan 2014 to Sep 2015
● Software Developer at Fresh Relevance (Southampton) between Jun to Sep 2014
● Website Manager at The Big Give (London) between Jun to Sep 2011
Education
Lancaster University, UK
MSc Data Science
2014 - 2015
Distinction
University of Southampton, UK
BEng Electronic Engineering with Artificial Intelligence
2011 - 2014
First-class honours
Hobbies
Travelling, Photography, Rock-climbing
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