Aashi Mahajan
Cork
Overview
1
1
year of professional experience
1
1
Certification
Work History
Data Engineer & Analyst
Digineous Technologies
01.2025 - 08.2025
- Analyzed operational data to identify equipment performance loss, building lead qualification systems and integrations with client systems that improved campaign targeting accuracy by 25%.
- Defined and implemented automated alerting for data integration, reducing manual ETL processing time by 60% and ensuring reliable data flow.
- Received a formal letter of recognition from an international client for identifying critical data anomalies that prevented significant operational downtime.
- Streamlined reporting workflows, reducing data-to-decision time by 30% and ensuring project delivery against technical success criteria to optimize resource allocation for key campaigns.
- Processed and analyzed large datasets using Spark, reducing data processing time by 25%, contributing to effective scoping and project plan development for faster insights.
- Managed data integration projects with enterprise systems including ERP and CMMS, ensuring seamless data flow and accurate reporting.
- Coordinated hardware integration projects, including configuring access control systems to feed data into the Protex AI platform.
ML Engineer Intern
Emorphis Technologies
06.2024 - 01.2025
- Leveraged an engineering background to optimize disease prediction models using Logistic Regression, XGBoost, and Random Forest, achieving 92% precision and a 15% reduction in false positives, demonstrating effective project delivery.
- Developed an automated sales dashboard for a SaaS client using Python, NumPy, Pandas, and Scikit-learn, improving operational efficiency by 10% and leveraging AWS SageMaker for scalable deployment, demonstrating strong client relationship management.
- Managed ML model lifecycle and experiment tracking using MLflow, improving reproducibility and reducing model retraining time by 20%, contributing to successful software build and deployment expansion.
Education
MSc - Business Analytics
University College Cork
Cork, Ireland06.2026
BSc - Computer Science (Engineering Focus)
Manipal University Jaipur
Jaipur, India06.2025
Skills
- Python
- SQL
- JavaScript
- DAX
- M (Power Query)
- Power BI
- Excel (advanced)
- Pandas
- NumPy
- Tableau
- Looker
- SharePoint Lists
- Microsoft 365
- Git / GitHub
- AWS
- Google Cloud (Associate)
- Oracle Cloud
- Airflow
- TensorFlow
- PyTorch
- Scikit-learn
- Azure ML
- GCP AI Platform
- AWS SageMaker
- Data analysis
- Machine learning
- Statistical analysis
- Technical Project Management
- Project Delivery
- Scoping
- Project Plan
- Technical Success Criteria
- Client Relationship Management
- Delivery Playbooks
- Integrations
- Data Integration
- Hardware Integration
- Software Build
- Feature Rollout
- Cloud & Infrastructure
- Data & Analytics
- Data Flow
- ERP
- CMMS
- Machine Learning & AI
Certification
- Developing on AWS, Amazon Web Services (AWS), 06/25
- MLOps Essentials: Model Deployment & Monitoring, DeepLearning.AI, 06/25
Selected Projects
- UCC Library Activity Dashboard - End-to-End BI Prototype, 06/26, Architected an end-to-end BI prototype for library operations using SharePoint List, Power Query, and Power BI, projecting a 15% reduction in manual reporting time. Cleaned and audited deliberately imperfect synthetic data through a documented transformation layer into a star schema.
- Predictive Fraud Intelligence & Prevention Budget Allocation, 06/26, Architected and implemented a three-layer fraud prevention system (XGBoost, regression, PuLP optimizer), achieving a quantifiable business impact by reducing fraud losses by $7.3M based on 150,000 SEPA transactions.
- Global Supply Chain Optimisation - Groupe Élégance, 06/26, Developed and implemented a MILP model in Python (PuLP) optimizing sourcing, production, workforce, and logistics across 3 factories, 2 warehouses, and 6 cities, reducing monthly penalty costs by $653K. Diversified four-supplier strategy reduced monthly penalty costs by €653k and cut average demand shortfall from 85.5% to 49.1%; validated with 500-iteration Monte Carlo simulation and sensitivity analysis.
- FARMIQ - Agricultural Intelligence Platform, 06/24, Demonstrated end-to-end ML project ownership: satellite data ingestion → transformation → predictive output → actionable dashboard, showcasing the research-to-insight workflow central to the AI & Data Intelligence role.
Timeline
Data Engineer & Analyst
Digineous Technologies
01.2025 - 08.2025
ML Engineer Intern
Emorphis Technologies
06.2024 - 01.2025
MSc - Business Analytics
University College Cork
BSc - Computer Science (Engineering Focus)
Manipal University Jaipur