Gaurav Anand

About Gaurav Anand

Versatile Data Science Leader with 15+ years of experience in designing and implementing world class machine learning, artificial intelligence and other analytical solutions to solve complex business problems. In depth skills across machine learning, data science, big data analytics, statistical modeling, product management, fraud risk, digital acquisition, cross team collaboration, MIS development and process automationCurrently, leading a team of experienced data scientists from fraud risk, data science, technology and strategy background to mitigate fraud risk at Goldman Sachs- Proven track record of successful collaboration with teams across globe at Goldman Sachs and American Express working on various work streams – machine learning, data science, risk management, prospect acquisition, product development, compliance, technology and reporting etc- Over 15 years of experience in deploying scalable machine learning and conventional analytical solutions- Expertise in Machine Learning and Conventional Techniques: Linear Regression, Logistic Regression,Look-Alike Models, Gradient Boosting Machine (XGboost), Random Forest, Neural Network, Clustering, Natural Language Processing, Support Vector Machine- Statistical Tools & Programming : Python, R, Hive, SQL, Pyspark, Tensorflow, Pytorch, SAS, SCALA- Multiple recognitions for data driven innovations to solve business problems- Strong supporter of Inclusion and Diversity effortsSkills: Fraud Risk Strategy, Account Takeover (ATO) Risk Mitigation, ID Theft Risk Mitigation, Machine Learning, Data Science, Inclusive Leadership

Experience

1. Head of Fraud Risk and Dispute Strategy, Asset and Wealth Management

   高盛

   Aug 2023 — Present

   Head of Fraud Risk Strategy for Goldman Sachs Consumer Savings and Invest ProductLeading a team of talented data scientists from fraud risk, data science, machine learning and technology background. Currently we are - Managing end to end fraud risk strategy for Goldman Sachs Proprietary Consumer Savings and Invest productCreating and deploying Third-Party and First-Party fraud strategies (e.g. rules, data features, models) across key customer touch points to manage Account Takeover (ATO) and ID Theft risks while ensuring an optimal customer experienceCollaborating with Technology and Data Science teams from Apple and Goldman Sachs, to develop fraud detection and mitigation decision engine and fraud process for High Yield Savings Product (joint partnership of Apple and Goldman Sachs)Identifying latest fraud threats, leveraging machine learning tools, techniques and deploy scalable fraud solution in AWS based production environmentResearch & Development leveraging latest statistical techniques for early identification of high risk rare event fraud episode.

Education

• Indian Institute of Technology, Delhi

  B Tech + M Tech from IIT Delhi, Engineering

• Loyola High School

  High School, Science

Skills

• Analysis
• Predictive Analytics
• Domain Names
• Financial Modeling
• Sas
• Analytical Skills
• Python
• Project Management
• Big Data
• Hadoop
• Risk Analytics
• Statistical Modeling
• Portfolio Management
• Customer Relationship Management (Crm)
• Market Research
• Analytics
• Business Strategy
• Consulting
• Pig
• Data Analysis
• Crm
• Hive
• Business Analysis
• Predictive Modeling
• Apache Pig
• Business Development
• Sas Spss Dcs Sql
• Sql
• Logistic Regression
• Team Management
• Management
• Strategy
• Analytics Domain
• Apache Spark
• Databases
• Business Analytics