Data Scientist | 3 Years | Machine Learning, Analytics, Database Management

Data Scientist / Data Analyst

With ~3 years of experience delivering end-to-end analytics and machine learning solutions in highly data-intensive, regulated environments. Strong background in Python, SQL, and R, with hands-on experience defining KPIs, analyzing large datasets, detecting trends and anomalies, and translating data into actionable business and product insights.

Previous Experience

• Previously worked at Goldman Sachs, where I:
  • Built SQL-based data models
  • Automated data quality frameworks
  • Created executive-level dashboards used by global risk and trading teams to monitor multi-billion-dollar collateral and fixed-income exposures.
• Led analytics pipelines spanning:
  • Ingestion
  • Transformation
  • Validation
  • Reporting across millions of records, improving data reliability, reducing reporting latency, and enabling real-time decision-making for stakeholders across EMEA and APAC.

Skills and Expertise

• Experienced in:
  • Applied machine learning
  • Statistical analysis
  • Experimentation
  • Time-series analytics, with projects spanning recommendation systems and synthetic financial data generation.
• Comfortable working end-to-end—from raw data and modeling to deployment, monitoring, and stakeholder communication.
• Actively seeking data science, analytics, or applied ML roles where rigorous measurement, scalable systems, and clear data storytelling drive impact.