Radha Subramanian

Director of Engineering

Bengaluru, Karnataka, India16 yrs 2 mos experience
Most Likely To SwitchAI ML Practitioner

Key Highlights

  • 17+ years of experience in Data Science and AI
  • Proven expertise in Generative AI and Machine Learning
  • Recognized for visionary leadership in data-driven business transformation
Stackforce AI infers this person is a Data Science leader in the Gaming and Media industries.

Contact

LinkedIn

Skills

Core Skills

Genai & Applied Ai LeadershipMachine Learning & Advanced Analytics

Other Skills

Data ScienceGenAIPredictive AnalyticsAWSTeam LeadershipAIAutomationData-Driven Decision MakingLocalizationMachine LearningCustomer AnalyticsBehavioral SegmentationPredictive ModelingBig DataSystem Design

About

A strategic, innovation-driven Director of Data Science & GenAI with 17+ years of experience delivering measurable business impact across Gaming, Smart TV, Aerospace and Media domains. Proven expertise in building and leading high-performing Data Science and AI teams, architecting enterprise-scale analytics and GenAI solutions and transforming data into competitive advantage through actionable intelligence, automation and personalization. Recognized for visionary leadership in leveraging Generative AI, Machine Learning and Big Data to solve complex business challenges - from customer engagement and monetization optimization to customer retention, user acquisition, behavioral analytics and customer intelligence. Adept at bridging business strategy and data innovation, driving cross-functional collaboration and scaling advanced analytics capabilities across global teams. Core Competencies: -- GenAI & Applied AI Leadership - building foundation models, LLM and Stable diffusion pipelines and automation frameworks -- Machine Learning & Advanced Analytics - predictive, prescriptive and causal modeling --Big Data & Cloud Platforms – Databricks, Apache Spark, AWS, distributed systems --Data Strategy & Governance – scalable architectures, data quality MLOps, ethical AI --Business Impact & Innovation – player lifecycle analytics, churn reduction, HR intelligence, marketing optimization --Executive Stakeholder Engagement – translating analytics into ROI-driven strategic actions and strategic planning Certifications & Recognition: --Best Student & Best Project, Business Analytics and Intelligence – IIM Bangalore (2017–2018) --Experfy Certified Data Scientist --Deep Learning Specialization – Coursera --SCJP Certified Java Developer

Experience

Playsimple games

3 roles

Director Data Science

Promoted

Sep 2023 – Present · 2 yrs 6 mos

  • 𝐂𝐚𝐫𝐞𝐞𝐫 𝐇𝐢𝐠𝐡𝐥𝐢𝐠𝐡𝐭𝐬 & 𝐈𝐦𝐩𝐚𝐜𝐭
  • Built and led the Data Science function from the ground up, defining strategy, vision and roadmap while mentoring a high-performing cross-functional team driving AI and DS-led business growth.
  • Spearheaded enterprise-scale Data Science initiatives - including player targeting and recommendation solutions, retention and monetization solutions - resulting in measurable improvements in player engagement, retention and ROI.
  • Delivered GenAI-powered analytics accelerators for creative generation, game content generation and insight automation.
  • Architected scalable predictive pipelines on AWS, enhancing analytics workflows and enabling faster, more reliable model deployments
  • Leading ongoing efforts to build experimentation best practices for both allocation and measurement, incorporating Bayesian techniques for more robust inference.
Data ScienceGenAIPredictive AnalyticsAWSGenAI & Applied AI LeadershipMachine Learning & Advanced Analytics

Associate Director

Feb 2023 – Aug 2023 · 6 mos

  • 𝐂𝐚𝐫𝐞𝐞𝐫 𝐇𝐢𝐠𝐡𝐥𝐢𝐠𝐡𝐭𝐬 & 𝐈𝐦𝐩𝐚𝐜𝐭
  • Led the design and deployment of GenAI localisation solutions, enabling scalable content adaptation for 20+ countries across multiple games.
  • Drove business forecasting initiatives, enabling data-driven decision-making across product and growth teams.
GenAIData-Driven Decision MakingGenAI & Applied AI Leadership

Principal Data Scientist

Oct 2019 – Jan 2023 · 3 yrs 3 mos

  • 𝐂𝐚𝐫𝐞𝐞𝐫 𝐇𝐢𝐠𝐡𝐥𝐢𝐠𝐡𝐭𝐬 & 𝐈𝐦𝐩𝐚𝐜𝐭
  • Delivered ML solutions across player targeting and LTV forecasting, enabling product and growth teams to measure ROI at both the network level and the overall game level.
  • Built a high-performing Data Science pod from the ground up, defining strategy, processes and team structure.
  • Mentored data scientists in modeling and analytics excellence, fostering a high-performing DS team.
Machine LearningData ScienceMachine Learning & Advanced Analytics

Sling media

Lead Data Scientist

Jan 2018 – Feb 2019 · 1 yr 1 mo · Bangalore

  • 𝐂𝐚𝐫𝐞𝐞𝐫 𝐇𝐢𝐠𝐡𝐥𝐢𝐠𝐡𝐭𝐬 & 𝐈𝐦𝐩𝐚𝐜𝐭
  • Built the customer analytics solution processing millions of user events to drive marketing and retention strategy.
  • Led design and deployment of behavioral segmentation and device affinity models influencing product roadmap decisions.
Customer AnalyticsBehavioral SegmentationMachine Learning & Advanced Analytics

Scientific games

Lead Data Scientist

Apr 2014 – Nov 2017 · 3 yrs 7 mos · Chennai, Tamil Nadu, India

  • 𝐂𝐚𝐫𝐞𝐞𝐫 𝐇𝐢𝐠𝐡𝐥𝐢𝐠𝐡𝐭𝐬 & 𝐈𝐦𝐩𝐚𝐜𝐭
  • Transitioned from Big Data Engineering to Data Science, leveraging large-scale gaming data to build predictive models that powered player analytics and personalization.
  • Built and led the first Data Science function, collaborating with leadership to drive DS-led transformation in casino and gaming analytics - from player insights to personalization and retention optimization.
  • Developed churn propensity, offer sensitivity and redemption probability models, enabling targeted promotions and improving player retention and lifetime value.
  • Implemented machine‑learning and big‑data frameworks using Spark, Hadoop, Kafka, HBase, HDFS.
Predictive ModelingBig DataMachine Learning & Advanced Analytics

Bally technologies

Lead Engineer

Jul 2010 – Mar 2014 · 3 yrs 8 mos · Chennai, Tamil Nadu, India

  • 𝐂𝐚𝐫𝐞𝐞𝐫 𝐇𝐢𝐠𝐡𝐥𝐢𝐠𝐡𝐭𝐬 & 𝐈𝐦𝐩𝐚𝐜𝐭
  • Designed enterprise systems for casinos including SDS, InSite and Integration Gateway.
  • Implemented distributed systems, web services and database architectures to support scalable ML and analytics workflows.
System DesignDistributed Systems

Hcl technologies

Software Developer

Jul 2007 – Jan 2009 · 1 yr 6 mos · Chennai, Tamil Nadu, India

  • Worked on aerospace and embedded systems including RTOS development, reusable hardware modules and power‑distribution systems.
Embedded SystemsRTOS Development

Education

Indian Institute of Management Bangalore

Certification course — Business analytics & Intelligence

Jan 2017 – Jan 2018

Hindustan College Of Engineering, Chennai

Bachelor’s Degree — Electronics and Communication Engineering

Jan 2003 – Jan 2007

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