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Build and refine ML features for Shopee’s ecommerce systems, turning messy operational data into clean, model-ready inputs and collaborating with engineers and business teams.
Lead a data science team to build AI/ML models and analytics for cross-border payments and money transfer products, driving revenue growth and client insights in a fast-paced fintech-like environment within a major bank.
Senior data scientist at PwC India building predictive models and dashboards with Python, SQL, and ML to deliver client insights and strategic decisions.
Lead end-to-end development of ML/AI models and statistical solutions to drive business decisions in a large CPG company, partnering with supply chain, marketing, and finance teams.
Build and deploy large-scale AI systems and autonomous agents using ML, NLP, and multi-agent orchestration at enterprise scale for Walmart’s global operations.
Senior Data Scientist at a fast-growing fintech builds and deploys ML models to improve customer understanding, product decisions, and member acquisition/retention using Python, SQL, and cloud tools.
Build and run ML models to predict user behavior and optimize fintech products like credit cards, driving growth in sign-ups, transactions, and retention.
Lead data-science projects to build ML models that improve user value and business KPIs like sign-ups and GMV, while mentoring a small team of data scientists in a fast-growing fintech company.
Senior data engineer building scalable data pipelines, modeling layers (Raw/Clean/Enriched), and implementing fuzzy matching algorithms in Python to clean and link records.
Principal Data Scientist at Walmart leading end-to-end AI system design, autonomous agent development, and production ML deployments using PyTorch, LangChain, and multi-cloud platforms.
Build and deploy ML models and AI solutions to power data products for a global footwear retailer, using Python, LLMs, and cloud tools.
Builds and improves machine-learning models for football analytics, using Python, SQL, and advanced stats to deliver insights for fans, bettors, clubs, and scouts.
Build and ship ML and generative-AI systems that power decisions across Delivery Hero’s platform, from recommendation engines to LLM-driven automation, owning the full lifecycle from modeling to production.
Build and maintain ML pipelines, deploy models via APIs/containers, and monitor performance for government AI projects using cloud-native tools.
Build and deploy machine learning models for search, AI features, and data pipelines at a collaborative design platform, using Python and ML libraries.
Builds ML models to predict and reduce customer churn for Warner Bros. Discovery’s streaming services using Python, SQL, and PySpark.
Build and deploy production-grade ML systems, including retrieval-driven AI agents and LLM-powered applications, using Python, PyTorch, and LangChain to ground outputs in S&P Global’s trusted financial data.
Build analytics tools and dashboards on Palantir Foundry to turn supply-chain data into faster decisions; start with guided tasks and grow into full solutions while embedded with business teams.
Build and deploy production-grade AI and Generative AI solutions for clients, using Python, cloud platforms, and MLOps practices to drive measurable business value.
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