Hi, I'm Karthik.

Data Analyst | SQL | Python | R | Power BI | AWS | Machine Learning | Analytics

Turning data into actionable insights is at the core of my work. With 4+ years of experience in data analytics, visualization, and predictive modeling, I specialize in transforming complex datasets into clear insights that drive operational efficiency and informed decision-making across financial and supply chain domains.

Currently at JPMorgan Chase, I work with large-scale financial datasets, building cloud-based data pipelines using AWS (S3, Lambda, Databricks) and applying anomaly detection techniques to identify irregularities in transaction data. My work supports finance and audit teams by improving data reliability, reducing processing time, and enabling proactive risk identification through Power BI dashboards and automated reporting.

Previously at Wipro, I designed real-time supply chain dashboards and ETL pipelines using AWS, Power BI, and SQL, helping improve operational efficiency by 15% and significantly reducing data processing and retrieval times. I’ve collaborated closely with cross-functional stakeholders in Agile environments to deliver scalable, business-aligned analytics solutions.

I specialize in:

✅ Data Analysis & ETL: SQL, Snowflake, Redshift, AWS Glue, Databricks

✅ Advanced Analytics & Machine Learning: Python, R, Statistical Modeling, Anomaly Detection

✅ Data Visualization & BI: Power BI, Tableau, Advanced Excel

✅ Cloud & Big Data Platforms: AWS, Azure, GCP

✅ Business & Stakeholder Enablement: Reporting, Process Improvement, Agile Delivery

I’m passionate about solving complex data problems, improving data quality, and enabling organizations to make confident, data-driven decisions. Always eager to learn, collaborate, and build impactful analytics solutions.

Let’s connect and talk data! 🚀