Shahina Sathar

Data Scientist

Kochi, Kerala, India2 yrs 9 mos experience

Highly StableAI Enabled

Key Highlights

Proficient in Python and FastAPI for backend development.
Experienced in machine learning and data science applications.
Strong organizational and presentation skills.

Stackforce AI infers this person is a Backend Engineer specializing in Machine Learning and Data Engineering within the SaaS industry.

Contact

Skills

Core Skills

Backend EngineeringMachine Learning

Other Skills

PythonFastAPIOOPSQLAlchemySQLiteData ScienceGenerative AISpring BootREST APIsDomain-Driven DesignOracle SQLNumPyPandasMatplotlibScikit-learn

About

As a recent post graduate in statistics with sas programming and statistical analysis skills I'm eagerly looking for jobs in Statistics field.Having good organizational ability, strong interpersonal and presentation skills I'll be a perfect employee.

Experience

2 yrs 9 mos

Total Experience

2 yrs 9 mos

Average Tenure

2 yrs 9 mos

Current Experience

Tata consultancy services

Assistant System Engineer

Sep 2023 – Present · 2 yrs 9 mos

Python Backend, Data Systems & Workflow Engineering
Designed modular FastAPI applications using OOP, layered architecture, service/repository patterns, and asynchronous programming with async/await.
Integrated SQLAlchemy, SQLite, aiosqlite, Alembic migrations, and Pydantic validation for scalable backend systems.
Developed workflow and pipeline management solutions with execution tracking and lifecycle management.
Built reusable components for data cleansing, transformation, joining, and orchestration of data-processing workflows.
Designed entities including Pipeline, PipelineRun, PipelineStep, TaskCleansing, TaskTransformation, and TaskJoin.
Machine Learning, Data Science & Generative AI
Applied supervised machine learning techniques including classification, feature engineering, model selection, hyperparameter tuning, validation, and performance evaluation.
Conducted exploratory data analysis (EDA), preprocessing, feature extraction, and statistical analysis using Python.
Built reproducible ML pipelines with NumPy, Pandas, Matplotlib, Scikit-learn, and TensorFlow/Keras.
Applied Generative AI and LLM-based workflows for prompt engineering, information extraction, summarization, content generation, reporting, and decision support.
Evaluated AI outputs based on quality, reliability, and business relevance.
Backend Engineering & Enterprise APIs
Developed and maintained enterprise backend services using Spring Boot and microservice architecture.
Designed and implemented REST APIs for secure system integration.
Applied Domain-Driven Design (DDD) principles to improve maintainability and scalability.
Performed API testing, debugging, code reviews, and production support.
Managed API products, OAuth authorization, API keys, and developer applications using Apigee.
Worked with Oracle SQL databases, focusing on query optimization and data integrity.