Rohini Gandi
Charlotte
Summary
Results-driven Data Scientist with a proven track record at Western & Southern Financial Group, enhancing forecast accuracy by 22% through advanced machine learning and statistical analysis. Skilled in data visualization and team collaboration, I excel at transforming complex data into actionable insights, driving significant improvements in risk management and operational efficiency.
Overview
5
5
years of professional experience
1
1
Certification
Work History
Data Scientist
Western & Southern Financial Group
08.2024 - Current
- Developed and deployed machine learning models in Python, enhancing forecast accuracy by 22%.
- Built forecasting and classification models, decreasing default risk by 12%.
- Collaborated with risk, finance, and marketing teams to align predictive models with KPIs, achieving 8% reduction in bad debt.
- Designed A/B tests to validate model effectiveness through statistical significance analysis.
- Conducted causal inference analysis with propensity score matching to assess policy impacts.
- Created interactive Dash web dashboards for real-time visualization of risk scores and financial KPIs.
- Deployed models using AWS SageMaker and Azure ML within CI/CD pipelines for efficient inference.
- Automated ETL processes with SQL, dbt, and Python, reducing data latency by 40%.
Data Analyst
Kroger
01.2024 - 07.2024
- Built ML-driven personalization and demand forecasting systems, improving inventory accuracy by 20%, and cross-sell conversions by 10%.
- Developed churn prediction models with 82% recall, supporting targeted customer retention.
- Executed A/B testing, regression analysis, and hypothesis testing to optimize pricing and promotional strategies.
- Designed fraud detection models, leveraging Apache Kafka and Spark Streaming for real-time alerts.
- Built scalable ETL pipelines using Scala and Hadoop to unify on-premise and cloud data sources.
- Created Looker dashboards for real-time sales KPIs and campaign effectiveness.
- Collaborated with marketing teams to transform insights into operational strategies.
Data Scientist
Comcast
01.2021 - 06.2022
- Designed executive dashboards in Tableau and Power BI to monitor telecom KPIs across marketing and operations.
- Applied GPT-3.5-based LLMs for sentiment analysis and theme extraction from customer interactions.
- Performed customer segmentation using K-means and hierarchical clustering to optimize campaigns.
- Developed internal data exploration tools using Streamlit for marketing and support teams to analyze customer sentiment and campaign impact.
- Developed ML models for IoT/sensor data to improve network optimization and reduce anomalies.
- Built A/B testing frameworks using Google Analytics and Excel to test service changes.
- Managed ETL pipelines integrating CRM, billing, and support data.
- Utilized AWS Redshift and Spark SQL for large-scale analytics.
Data Analyst
Molina Healthcare
01.2020 - 12.2020
- Automated ETL workflows using Python and SQL to load claims and member data into AWS Redshift.
- Ensured HIPAA compliance through rigorous data validation and cleansing processes.
- Developed dashboards in Tableau and Power BI to monitor provider performance and cost efficiency.
- Built logistic regression and clustering models to identify high-risk patients, reducing readmissions by 15%.
- Conducted time-series analysis and A/B tests to evaluate healthcare policy impact.
- Created Python scripts to ingest and standardize structured and semi-structured data (CSV, JSON).
Education
Master of Science - Computer Science
Wright State University
Ohio, USA04-2024
Skills
- Machine learning
- Statistical analysis
- Data visualization
- Predictive modeling
- ETL processes
- A/B testing
- Problem solving
- Team collaboration
- SQL databases
- Data wrangling
- Database management
- Scikit-learn
- NoSQL databases
- Big data analytics
Certification
- Professional Certificate in Data Analysis
- Microsoft PowerBI Certification
- Machine Learning(ML) Analysis Certification
Accomplishments
- Automated BI dashboards and reporting pipelines using Python, SQL, and Looker, reducing manual reporting by 30% and improving executive decision-making.
- Developed end-to-end ML models using scikit-learn and TensorFlow, incorporating causal inference techniques to enhance credit risk assessment with 87% precision.
- Designed and executed A/B tests and regression analyses to optimize product pricing and user engagement.
- Built scalable ETL workflows using Talend, dbt, and Python, supporting real-time analytics and reducing data latency by 40%.
- Created interactive dashboards in Power BI, Tableau, and Dash to monitor KPIs, financial trends, and marketing performance.
- Developed internal tools using Streamlit to enable cross-functional teams to explore model outputs and operational metrics interactively.
- Conducted exploratory data analysis and advanced feature engineering to improve model accuracy and uncover actionable insights.
- Applied statistical modeling and propensity score matching to identify key drivers of customer behavior and evaluate campaign impact.
- Led full lifecycle analytics projects—from data ingestion to deployment—while adhering to Agile and SDLC best practices.
- Integrated advanced analytics solutions into production environments, aligning technical outputs with business objectives for measurable impact.
Timeline
Data Scientist
Western & Southern Financial Group
08.2024 - Current
Data Analyst
Kroger
01.2024 - 07.2024
Data Scientist
Comcast
01.2021 - 06.2022
Data Analyst
Molina Healthcare
01.2020 - 12.2020
Master of Science - Computer Science
Wright State University
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