Back to Experience
Jan 2022 - Apr 2022
Cognizant
Intern
Developed fundamental data engineering and ML solutions, focusing on real-time analytics pipelines, sentiment analysis models, and production-grade visualizations.
Key Achievements
- Engineered ETL pipelines using Python, SQL, and Apache Spark to integrate multi‑source data for real‑time analytics.
- Built ML modules for sentiment analysis and topic modeling on customer reviews and social data.
- Contributed to DevOps/MLOps workflows using Docker + Kubernetes for containerized services.
- Developed Tableau/Power BI dashboards to visualize KPIs and support stakeholder decisions.
- Assisted with data cleaning/validation and documentation to support analytics reporting.
Real-time
Pipelines
Docker/K8s
ML Ops
DE & ML
Focus
Technologies & Tools Used
Python
SQL
Spark
Tableau
Power BI
Docker
Kubernetes
Java