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Credit Card Fraud Detection
ML models (Random Forest, XGBoost) on highly imbalanced transactions with SMOTE and feature engineering — reaching 92%+ AUC with interpretable, compliance-ready outputs.
- Python
- Scikit-Learn
- XGBoost
M.S. Graduate, May 2026F-1 OPT · Authorized to WorkOpen to Full-Time Opportunities
2+ Years Building Data & ML Systems
Hi! I'm Prathyusha Reddy Allam, an AI/ML Engineer & Data Analyst based in Buffalo.
About me
AI/ML engineer and data analyst with a Master's in Computer Science (AI & ML) from the University at Buffalo and 2+ years at Tata Elxsi.
I work across the full data lifecycle — the pipelines that move data, the ML models that learn from it, and the dashboards that make it clear. Published IEEE researcher, and I care most about solutions that are accurate, interpretable, and genuinely useful.
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10M+ records analyzed
at scale, in production
⚡
~40% faster reporting
via automated pipelines
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92%+ fraud-detection AUC
imbalanced-data ML
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Published IEEE researcher
CISES 2022
Featured projects
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Sales Performance Analytics Dashboard
Interactive multi-page dashboard for revenue, product, and YoY trends, backed by automated Python/SQL ETL that cut data-prep time ~35%.
- SQL
- Python
- Tableau
- Power BI
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E-Commerce Customer Segmentation
K-Means and hierarchical clustering on RFM features to group customers into high-value, at-risk, and new cohorts — powering targeted retention strategies.
- Python
- K-Means
- Tableau
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End-to-End ETL Pipeline for Retail Analytics
Automated pipeline ingesting 500K+ records/batch into a PostgreSQL warehouse with error handling, Azure staging, and a Power BI layer — cutting null rates ~45%.
- Python
- PostgreSQL
- Azure
My work experience
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📅 Aug 2022 – Jun 2024Engineer
Tata Elxsi · India
Analyzed 10M+ record datasets and automated Python reporting pipelines that cut manual analysis time ~40%. Ran root-cause analysis on critical events and shipped Power BI dashboards to engineering and business leadership.
- Python
- Pandas
- Azure
- Power BI
- RCA
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📅 Feb 2021 – Mar 2022Data Engineering Intern
Tata Elxsi · India
Collected, cleaned, and validated project datasets across multiple sources — cutting inconsistencies and improving report reliability. Maintained version-controlled records in Git and presented findings in weekly reviews.
- Data Cleaning
- SQL
- Git
- Reporting
Education & research
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📅 Aug 2024 – May 2026M.S. Computer Science & Engineering (AI & ML)
State University of New York at Buffalo
Relevant coursework: Machine Learning, Deep Learning, NLP, Computer Vision, Data Analytics, Cloud Computing, Algorithm Design.
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📅 Jun 2018 – May 2022B.Tech, Computer Science & Engineering
Karunya Institute of Technology and Sciences
📄 Publications
My tech stack
Languages
- Python
- SQL
- C++
- C
AI / ML
- TensorFlow
- PyTorch
- Scikit-Learn
- Deep Learning
- Computer Vision
- NLP
- CNN
- LSTM
- Transformers
Data Engineering
- Pandas
- NumPy
- Feature Engineering
- ETL Workflows
- Data Preprocessing
- Data Cleaning & Validation
Cloud & Tools
- Microsoft Azure
- Git
- Docker
- Linux
- Power BI
- Tableau
- Jupyter
- PyCharm
Analytics
- Statistical Analysis
- KPI Reporting
- Root Cause Analysis
- A/B Testing
- Business Intelligence
Get in touch
I'm always open to new opportunities and conversations. Feel free to reach out through any of the channels below.
allamprathyusha77@gmail.com📞 +1-716-910-9655
📍 Buffalo, NY