Operational
History
Data Scientist & System Engineering
ID: OBJ-01
Objectways
Decision Scientist
2024.05 — PRESENT
COIMBATORE // ON-SITE
Tech_Stack
TensorFlowPyTorchAWSSQLTableauScikit-Learn
Strategic_Summary
"Architecting high-fidelity predictive systems and automated data governance for enterprise intelligence."
intelligence_layer
- Deployed ML ensembles for predictive analytics, classification, and clustering to steer business heuristics.
- Synthesized models via Pandas, NumPy, Scikit-learn, and TensorFlow with >85% accuracy benchmarks.
- Integrated A/B testing, anomaly detection, and NLP-driven sentiment analytics for proactive risk signaling.
engineering_layer
- Built end-to-end data pipelines and automated ETL workflows for scalable production environments.
- Architected API-driven model deployment across multi-cloud infrastructures (AWS, GCP, Azure).
- Orchestrated large-scale data ingestion and feature engineering using Python and optimized SQL.
governance_layer
- Translated high-entropy data into executive-grade decision strategies through Power BI and Tableau.
- Collaborated cross-functionally to align model performance with real-world operational constraints.
- Owned the data lifecycle from raw ingestion to stakeholder-ready analytical reporting.
ID: PAHI-02
PahiLabs
Full Stack Developer
2024.10 — 2025.01
US-REMOTE
Tech_Stack
ReactNode.jsDjangoPostgreSQLDockerCI/CD
Strategic_Summary
"Engineering scalable web service layers with a focus on cryptographic security and performance benchmarks."
logic_layer
- Developed RESTful backend services using Node.js, Express, Django, and Flask frameworks.
- Implemented hardened identity governance via JWT, OAuth, and Firebase Authentication.
- Engineered relational and NoSQL persistence layers utilizing PostgreSQL and MongoDB.
interface_layer
- Architected responsive UI modules using React.js, Angular, and Vue.js with Tailwind CSS optimization.
- Achieved 90+ Lighthouse performance scores through V8 engine execution tuning and asset minification.
- Integrated secure payment gateways and third-party APIs for seamless transaction workflows.
devops_layer
- Managed CI/CD orchestration via GitHub Actions and Jenkins for AWS and Vercel deployments.
- Utilized Docker for containerization and Jira for Agile sprint management and version control.
ID: DSAC-03
DS & Analytics Centre
Data Science Intern
2022.08 — 2024.05
COIMBATORE // ON-SITE
Tech_Stack
PythonSQLPower BISeabornGit
Strategic_Summary
"Foundational research in structured data preprocessing and relational modeling for business intelligence."
analysis_layer
- Conducted Exploratory Data Analysis (EDA) to isolate trends, outliers, and inform strategic decisions.
- Supported senior scientists in developing classification and regression models using Scikit-learn.
- Wrote optimized SQL queries for complex data extraction from relational databases.
visualization_layer
- Built interactive dashboards and reporting modules using Power BI, Tableau, and Seaborn.
- Translated abstract business problems into technical analytical solutions for cross-functional teams.
- Maintained rigorous documentation and Git version control for experiment reproducibility.
Archive_Entry_01
TCS iON
ML Intern
- Evaluated models via ROC-AUC & Confusion Matrix.
- Built supervised/unsupervised ensembles (Random Forest, K-Means).
- Documented ML pipelines for technical stakeholders.
Archive_Entry_02
We & Data
BI & Data Analytics
- Designed interactive dashboards (Power BI/Tableau/Looker).
- Optimized SQL queries & ETL workflows for cloud storage.
- Automated recurring KPI reporting for business stakeholders.