Data Scientist

Hands-on experience with SageMaker, Lambda, Step Functions, S3, Athena. Model deployment and pipeline orchestration in AWS.

OCR Use-Case Development:

Proficiency with Amazon Textract, Tesseract, and LLM-based OCR. Building document parsing pipelines, validations, and rules.

Strong coding skills:Using libraries like pandas, NumPy, scikit-learn, PyTorch, and Hugging Face Transformers. Writing clean, modular, and testable code.

Traditional Machine Learning Models:Experience with regression (linear, ridge), classification (logistic regression, decision trees, random forests), clustering (k-means, DBSCAN), and time-series forecasting (ARIMA, Prophet). Model evaluation, tuning, and deployment.

Business Requirement Translation:Ability to convert business problems into data-driven solutions. Designing KPIs, metrics, and actionable insights.

Stakeholder Collaboration:Effective communication with technical and non-technical stakeholders. Experience in cross-functional teams.

Familiarity with SQL and big data processing tools:e.g., Amazon Athena.

A/B testing, statistical analysis, and performance metrics.

Security & Compliance Awareness:Understanding of data privacy, PII handling, and compliance standards (e.g., GDPR).

Agile Methodologies:Experience working in Agile/Scrum teams using tools like Jira or Azure DevOps.

* Free services are subject to limitations

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