NAVEEN KADALI
LUTZ
Summary
Results-driven professional with expertise in fraud detection and anomaly detection, honed at Amazon. Proven track record of enhancing operational efficiency and saving costs through advanced SQL and process optimization. Strong analytical problem-solving skills complemented by effective time management, delivering impactful insights and driving data-driven decisions.
Overview
4
4
years of professional experience
Work History
Transaction Risk Investigation
AMAZON
12.2019 - 12.2022
- Owned end-to-end risk investigations across high-volume, large-scale transactional datasets, identifying fraud, abuse, and policy violations impacting thousands of transactions
- Detected fraud patterns using anomaly detection on large-scale transactional data
- Enhanced investigation workflow efficiency 20%, reducing case handling time and increasing operational throughput.
- Reduced manual review effort by 25%, generating estimated annual labor savings of $75K+ through process optimization and improved controls.
- Led the Abuse Return Instigator (ARI) analytical workflow within the Returns Cluster, improving consistency in risk evaluation and strengthening operational controls.
- Developed SQL, Excel, and Tableau KPI dashboards, reducing reporting preparation time 40% and accelerating management decision-making.
- Collaborated cross-functionally on automation and process enhancements, saving 500+ analyst hours annually.
- Built executive-ready dashboards and metrics reports to support data-driven decision-making by senior leadership.
GIS Analyst Engineer
AVINEON IND PVT. LTD.
06.2019 - 11.2019
- Automated workflows reducing manual effort by 30%, saving approximately 8–10 hours weekly in processing time.
- Improved data quality review turnaround by 20%, accelerating project delivery timelines.
- Contributed to estimated annual productivity savings of $20K+ through reduced rework and improved process consistency.
- Analyzed processes and resolved data inconsistencies, enhancing overall data integrity.
- Created structured documentation and analytical summaries to support informed decision-making for client stakeholders.
Education
MASTER’s - DATA SCIENCE
Lewis University
Romeoville, IL, USA12-2024
BACHELOR’s - Mechanical Engineering
JNTU KAKINADA
2019, ANDHRA PRADESH, INDIA05-2019
Skills
- Python
- SQL (Advanced)
- Anomaly detection
- Fraud detection
- Model evaluation
- Risk Analysis
- Relational and NoSQL databases
- Data Visualization
- ETL Pipeline Development
- Data Transformation
- Dataset Structuring
- MySQL, PostgreSQL
Additional Information
Prior Amazon experience with direct exposure to Trust & Safety and Risk Operations., Experienced in detecting abuse at scale and building risk signals for large datasets., Eligible for STEM OPT., Strong interest in scalable, data-driven risk and fraud detection systems.
Projects
Predictive Modelling of Obesity Risk, Developed supervised machine learning models (Logistic Regression, Random Forest, Gradient Boosting) using Python and scikit-learn., Performed feature engineering and k-fold cross-validation to improve generalization and reduce overfitting., Evaluated models using precision, recall, F1-score, and ROC-AUC to ensure balanced performance across classes., Conducted feature importance analysis to enhance interpretability of model predictions., Presented findings through interactive Tableau dashboards, translating statistical outputs into actionable insights.
Timeline
Transaction Risk Investigation
AMAZON
12.2019 - 12.2022
GIS Analyst Engineer
AVINEON IND PVT. LTD.
06.2019 - 11.2019
MASTER’s - DATA SCIENCE
Lewis University
BACHELOR’s - Mechanical Engineering
JNTU KAKINADA