Rohini Gandi
Analyst
6+ years exp
Scala
R
Java
Python
SQL
Julia
Active 8 days ago
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Overview
Technical skills
Timeline
Roles
Overview
Data scientist and data analyst with 5+ years of experience in quantitative and statistical analysis, building Python- and SQL-based data pipelines, and delivering Power BI dashboards for decision-ready insights. Experienced in predictive modeling and forecasting, and in SAS-based validation, data governance, and quality assurance for regulated reporting environments. Regularly presents findings to technical and non-technical stakeholders and leads cross-functional reporting work under agile methodologies.
Technical skills
Scala
R
Java
Python• Senior • 6y+
SQL• Senior • 6y+
Julia• Junior
R
Shiny
Databases
Databricks
Snowflake
AI/ML
CNN
GAN
Hadoop
Spark
XGBoost
Anomaly Detection
Keras
PyTorch
Scikit-learn
TensorFlow
DevOps
AWS
Azure
GCP
Analytics
Power BI• 6y+
Tableau
Timeline
Senior Data Analyst
•
Senior
Cardinal Health
•
Full-Time
Conducted quantitative and statistical analysis on large clinical and pharmacy datasets and built a unified data warehouse using SQL and Python to improve extraction and reporting speed. Created Power BI dashboards with DAX KPI models for technical and non-technical stakeholders. Implemented SAS-based statistical validation and quality assurance to detect and correct data anomalies and support audit-ready reporting through metadata documentation and data governance. Led cross-functional reporting initiatives under agile workflows and translated stakeholder questions into analytics and predictive solutions.
SQL
Python
Power BI
Tableau
Data Analyst
•
Middle
NCR
•
Full-Time
Designed SQL-based ETL pipelines to consolidate high-volume transaction data, reducing latency and enabling near real-time statistical analysis for compliance and risk teams. Built Power BI scorecards and fraud-risk indicators and developed Python-based predictive models for anomaly detection. Delivered an end-to-end analytics platform combining SQL pipelines, Python processing, and Power BI dashboards to monitor transaction streams and reduce detection time. Maintained data governance, metadata documentation, and quality assurance standards for fraud-analytics reporting.
SQL
Python
Power BI
Anomaly Detection
Wright State University
Master's Degree •
Computer Science
Associate Data Analyst
•
Middle
Razorpay
•
Full-Time
Extracted and analyzed large daily settlement datasets using SQL, improving data completeness and reducing manual reconciliation effort. Produced Power BI visual reports and dashboards to turn finance stakeholder questions into actionable insights. Automated data validation and quality checks with Python scripts to identify inconsistencies and prevent revenue leakage. Built an end-to-end payment settlement reporting system and collaborated with Finance and Operations to define requirements and deliver reliable, audit-ready reporting.
SQLsince 2020
Pythonsince 2020
Power BIsince 2020