Sanjay Rangharajhan Muralikrishna

Associate Consultant

London, England, United Kingdom6 yrs 3 mos experience
Most Likely To SwitchHighly Stable

Key Highlights

  • Expert in machine learning and predictive modeling.
  • Proven track record in sports analytics and gaming.
  • Strong automation skills reducing workload significantly.
Stackforce AI infers this person is a Data Science expert in the Gaming and Sports Analytics sectors.

Contact

Skills

Core Skills

Data AnalyticsMachine LearningData Science

Other Skills

BigQueryBloggingC++ChessCreative WritingData CompressionData TransferData VisualizationEditingEnglishExcelFrenchIpywidgetsMicrosoft ExcelMicrosoft Office

About

I am a data-driven Senior Insights Analyst with experience building and refining machine learning models, delivering advanced analytics, and currently shaping strategies in the sports betting and gaming sector. At LiveScore Group, I lead the development of player risk classification algorithms, aligning technical, regulatory, and operational priorities to support business objectives. My expertise spans Python, SQL, BigQuery, Tableau, and predictive modelling, with a track record of automating workflows and producing actionable insights that influence multiple business teams. Previously, at Xformics, I worked as a Data Scientist, where I developed predictive models and analytical solutions to support business operations and customer-focused decision-making. This role strengthened my expertise in Python, SQL, and data science methodologies, and gave me hands-on experience applying AI/ML to real-world business problems. With a B.Tech. in Computer Science Engineering and a Master’s in Sport Analytics and Technologies, I bring both technical depth and domain knowledge across risk prediction, customer behavior analytics, and sports performance. Outside of work, I am passionate about sports analytics, writing, and content creation, having previously published in cricket media and developed analytical tools for cricket clubs. I thrive at the intersection of data science, product innovation, and business strategy, and I’m always keen to collaborate on projects that combine analytics with meaningful impact.

Experience

Livescore group

2 roles

Senior Insights Analyst

Promoted

Apr 2025Present · 11 mos

  • Leading a systemic overhaul of player risk classification models, coordinating technical, regulatory, and operational efforts to deliver a state-of-the-art Responsible Gambling (RG) 'Risk Algo' across LiveScore Bet and Virgin Bet.
  • Driving end-to-end generation of RG insights, influencing compliance and player protection strategies through advanced analytics using BigQuery (SQL), Python, Tableau, and Excel.
  • Acting as a strategic partner to internal stakeholders across Compliance, Commercial, and Risk, embedding datadriven decision-making into operational processes and regulatory readiness initiatives.
  • Spearheading feature engineering and model refinement for a machine learning model predicting customer gambling risk, enhancing predictive accuracy across multiple behavioural segments.
  • Shaping the Insights Roadmap by quantifying the commercial and operational impact of player protection initiatives, aligning responsible gambling goals with broader business objectives.
  • Developing and maintaining a Python-based automation tool (Ipywidgets, pandas, Voila) that reduced daily operational workload by 98.8%, scaling manual processing from 45 minutes to 30 seconds.
PythonSQLBigQueryTableauExcelData Analytics+1

Insights Analyst

Oct 2022Apr 2025 · 2 yrs 6 mos

  • Generated responsible gambling (RG) related insights across sports and casino betting products offered by LiveScore Bet and Virgin Bet. Worked closely with the compliance and player protection teams, and performed detailed analyses to recommend optimal deposit, wager and revenue trigger thresholds for the RG team.
  • Created a machine learning model that predicts a customer’s problem gambling proclivity based on an exhaustive set of betting features like time spent playing, net deposits, gross gaming revenue, overnight activity etc.
  • Optimised the player retention journey by analysing churn rates of customers after hitting loss/deposit limits, and the associated operational and commercial impact of customers closing.
  • Identified and analysed key "markers of harm" such as timeouts, limit changes, and self-exclusions, quantifying risk severity and informing regulatory reporting and mitigation strategies.
PythonSQLMachine LearningData Analytics

East molesey cricket club

Performance Analyst

Apr 2022Sep 2022 · 5 mos · Greater London, England, United Kingdom

  • Responsible for tagging every delivery with a set of parameters like line, length, shot type etc. and using this data to generate performance insights for the players with Microsoft Excel.
  • Responsible for curating video content using Davinci Resolve for the club’s social media platforms. Doubled the number of subscribers and video views, and had 6,20,000 total impressions on the club’s YouTube channel.
Microsoft ExcelVideo Editing

Xformics inc

Data Scientist

Aug 2019Aug 2021 · 2 yrs · Bangalore

  • Gained hands-on experience in implementing an end-to-end data science project lifecycle for predicting equipment failure and estimating remaining useful life of a machine. It involved stages like data pre-processing, feature engineering, data visualization, model selection, parameter tuning and dashboard creation. Extensively used Python and libraries like pandas, seaborn, streamlit along with ML algorithms like gradient boosting and decision trees during the workflow.
  • Built a state-of-the-art knowledge discovery engine that can extract insights from structured and unstructured data in the manufacturing sector, using modern data visualisation tools like network graphs to interpret the insights.
  • Built an AI chatbot based on Natural Language Processing techniques to automate replies to customer queries in the retail sector. Used RASA as a framework and Bidirectional Encoder Representations from Transformers for training the model.
PythonData VisualizationData Science

Broken cricket

Editor In Chief, Team Lead

Mar 2019Jul 2019 · 4 mos · Bengaluru, Karnataka, India

  • Managed the English Content Team for Broken Cricket. Covered the 2019 editions of the IPL and the Cricket World Cup, and was also responsible for writing, editing and publishing articles.

University of florida

Research Intern

Jul 2018Aug 2018 · 1 mo · Gainesville, Florida

  • Used Machine Learning and Pattern Recognition methods like Tabular Nearest Neighbor Encoding for recognition and classification of space debris, by simulating satellite imagery. Eventually developed a similarity index based classification system.
Machine LearningPattern RecognitionData Science

Ge

Software Intern

Jun 2017Aug 2017 · 2 mos · Bengaluru Area, India

  • Analyzed methods of data transfer between server and cloud, and developed a crude transfer mechanism for GE Healthcare to aid transfer of patients’ health records between a server and a cloud. Explored methods like data compression and data splitting, series and parallel transfer, to send the information across to the destination.
Data TransferData Compression

Education

Loughborough University London

Master's degree — Sport Analytics and Technologies

Oct 2021Oct 2022

Mahindra University

Bachelor of Technology — Computer Science

Jan 2015Jan 2019

National Public School

Computer Science

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