Asra Anjum
Exceptional data scientist with experience turning raw data from multiple sources into valuable insights and creative solutions. Ability to translate vast amounts data into meaningful ndings that in uence business strategy. Solid background in computer science and analytics. Compelling presentation and reporting skills.
- Role
AI Engineer
- Years of Experience
3 years
Skillsets
- pandas
- MLFlow
- Model evaluation
- Model integration
- Multi-Agent Systems
- NLP
- NumPy
- OpenAI API
- Orchestration
- Microservices
- Prompt Engineering
- PySpark
- PyTorch
- Quality Assurance
- RAG pipelines
- Restful APIs
- Scikit-learn
- TensorFlow
- embeddings
- Python - 1 Years
- SQL
- AI Agents
- Azure ML
- Data Normalization
- Data Pipelines
- Docker
- Drift monitoring
- Python - 1 Years
- ETL
- FastAPI
- fine-tuning
- Flask
- Generative AI
- Git
- JavaScript
- LLMs
Professional Summary
3Years
- May, 2023 - Present2 yr 6 months
AI Engineer
eClinical Solutions - Aug, 2022 - Apr, 2023 8 months
Data Engineer
eClinical Solutions
Work History
3Years
AI Engineer
eClinical SolutionsMay, 2023 - Present2 yr 6 months
Engineered AI automation frameworks using PySpark, TensorFlow, and Scikit-Learn, streamlining data workflows and reducing manual effort by 40%. Designed and validated machine learning models for end-to-end automation and intelligent data curation. Integrated ML models with internal applications using Flask APIs, ensuring scalable and modular deployment. Conducted comprehensive model testing & drift evaluation, ensuring reliability and performance. Executed data preprocessing, feature engineering, and EDA to enhance predictive accuracy and data insight generation.
Data Engineer
eClinical SolutionsAug, 2022 - Apr, 2023 8 months
Led data standardization and normalization initiatives across diverse study protocols, ensuring data integrity. Built and optimized SQL-based validation scripts and ETL pipelines for large-scale clinical datasets. Partnered with cross-functional teams to implement quality assurance automation, accelerating data delivery timelines.
Major Projects
2Projects
Automation of Clinical/External Data Reconciliation
Built rule-driven PySpark reconciliation engine using DAGs and SQL logic, reducing data mismatches and saving 20+ hours/week in manual effort.
Data Mapping Automation
Automated clinical data mapping (CDISC SDTM) using ML-based similarity detection & validation. Reduced manual effort by 70% with scalable pipelines & API integration.
Education
Bachelor Of Engineering (B.E) in Computer Science And Engineering
MVJ College Of Engineering (2022)