Aakash Sharma

About Aakash Sharma

I am a Data Scientist & Machine Learning professional with 8+ years of experience in the Banking & Financial Crime domain, currently working at MUFG. My expertise lies at the intersection of AI, ML engineering, and compliance — building scalable solutions for Fraud Detection, AML Transaction Monitoring, Risk Scoring, and Financial Crime Intelligence.I have delivered multiple high-impact systems across global banking teams:• Developed ML-driven fraud detection models improving accuracy and reducing false positives.• Built Spark- and GCP-based transaction monitoring pipelines processing millions of transactions.• Designed entity-resolution and network-risk features (Quantexa-style) for correspondent banking.• Worked on LLM/NLP-driven tools (LangChain + GPT) to accelerate AML investigations.My technical stack includes Python, Scala, Spark, SQL, GCP, MLflow, NLP, GenAI, Docker/K8s, and Data Engineering frameworks. Domain strengths include AML, Fraud Analytics, TM Scenarios, KYC/CDD, and enterprise risk. I am now actively exploring international opportunities (UK, Canada, Singapore, EU) in:• Financial Crime AI / ML • Fraud Analytics • AML/Compliance Technology • Data Science / ML Engineering (Banking & FinTech)I enjoy solving complex risk problems with scalable ML systems, transforming financial crime data into actionable insights, and building next-gen AI solutions for global banks.Always open to meaningful conversations.Githubhttps://github.com/aakash804

Experience

1. Assistant Vice President

   MUFG

   Sep 2025 — Present

Education

• Stanford University

  Machine Learning

  2019 — 2020

• Manipal Academy of Higher Education

  PG Diploma in Data Science, Machine Learning and Artificial Intelligence

• Guru Gobind Singh Indraprastha University

  Bachelor of Computer Application, Computer Science

• Liverpool John Moores University

  Master of Science - MS, Machine Learning and Artificial Intelligence