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diya User

@diyauser1

Aspiring Machine Learning Engineer building MLOps pipelines and data-driven APIs that turn insights into real-time predictions.

India

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What I'm looking for

I’m looking for a role where I can build end-to-end ML solutions—clean data pipelines, reliable MLOps deployments, and APIs/dashboards that deliver real business impact, with room to grow in engineering excellence.

I’m a Computer Science and Engineering graduate with hands-on experience in Python, SQL, Machine Learning, and Data Analytics, focused on end-to-end delivery—from data ingestion to deployment.

In my IndiaPulse project, I engineered an automated daily NSE market data ingestion pipeline with duplicate prevention and failure alerting, trained an XGBoost model with time-series cross-validation, and deployed a production REST API for real-time momentum predictions.

I also built an AI Workforce Intelligence Platform to predict employee bench risk 30–60 days in advance, delivering deployed FastAPI APIs and Streamlit dashboards with model evaluation, class imbalance handling, and data quality controls.

Beyond ML systems, I designed and optimized an Airlines database management system using SQL, ER models, CRUD operations, and stored procedures to support faster queries and real-time booking updates.

Experience

Work history, roles, and key accomplishments

Data Analytics Job Simulation

Tata Group

Jan 2026 - Present (7 months)

Performed exploratory data analysis on customer datasets to assess data quality and identify trends. Applied basic predictive modeling concepts and considered ethical and regulatory constraints in data-driven decision-making.

Python predictive modeling Data Ethics

Operations Analyst Job Simulation

Goldman Sachs

Jan 2026 - Present (7 months)

Analyzed transaction and asset transfer scenarios to identify operational risks and reviewed process flows for control gaps. Proposed risk mitigation steps aligned with regulatory practices using structured problem-solving.

Operational Risk Analysis Transaction analysis Asset Transfer Scenarios Compliance Review Process Flow Risk Mitigation

MLOps Project

AI Workforce Intelligence Platform

Built an end-to-end ML platform predicting employee bench risk 30–60 days in advance and deployed predictions via FastAPI and interactive Streamlit dashboards. Applied MLOps practices for evaluation, class imbalance handling, data quality controls, and Git-based version management.

Python Pandas XGBoost fastAPI Streamlit MLOps Model Evaluation Class Imbalance Handling Data Quality Dashboarding

End-to-End MLOps Pipeline

IndiaPulse

Engineered an automated daily NSE market data ingestion pipeline and built an XGBoost model with time-series cross-validation. Deployed a FastAPI REST service for real-time sector momentum predictions on Railway with CI/CD via GitHub Actions and model versioning.

Python DBT PostgreSQL XGBoost fastAPI Railway GitHub Actions CI CD REST APIs Model Versioning Cross Validation Swagger

Database Management System

Airlines Database Management System

Designed and implemented a MySQL relational database with schema optimization and optimized SQL for faster queries and real-time booking updates. Implemented CRUD operations and stored procedures for booking workflows, including query debugging to reduce latency.

MySQL SQL CRUD Operations Stored Procedures SQL Query Optimization Debugging