RAJA MEENAKSHI SHANMUGA SUNDARAM
University Of Surrey,SRY
Summary
Data Scientist with a strong quantitative and engineering foundation, experienced in building predictive models, data pipelines, and analytical systems using Python and SQL. Proven ability to perform feature engineering, analyse large datasets, and translate analytical results into actionable insights for decision-making. Currently pursuing an MSc in Data Science, with hands-on experience in machine learning, forecasting, model evaluation, and stakeholder collaboration.
Overview
5
5
years of professional experience
Work History
Automation Engineer - Data Focus
Quvia
Chennai
06.2023 - 12.2024
- Built and deployed forecasting and predictive models using Python and scikit-learn, applying feature engineering and time-series analysis to support data-driven planning and optimisation
- Designed and maintained PostgreSQL databases and SQLAlchemy ORM models to support efficient analytical querying across large datasets
- Developed end-to-end ETL pipelines to ingest, clean, transform, and analyse high-volume data from multiple sources, improving data quality and analysis readiness
- Implemented RESTful APIs using Flask to expose analytical outputs and model results for internal teams
- Automated testing and deployment of data pipelines and ML workflows using CI/CD pipelines, improving reliability and iteration speed
- Built analytical dashboards and monitoring tools using Kibana and Matplotlib to track trends, evaluate model performance, and identify key drivers of change
- Collaborated with cross-functional teams to translate business requirements into scalable analytical and machine learning solutions
Data Analyst
Quvia
Chennai
05.2022 - 05.2023
- Developed real-time analytics dashboards using Python to monitor system performance and key metrics
- Automated large-scale data collection and processing workflows using Kafka and containerised applications deployed on AWS
- Designed data processing pipelines to clean, validate, and store structured data in SQL databases for downstream analysis
- Created analytical views and reports to track performance trends, usage patterns, and operational insights
- Improved system efficiency and reduced manual analysis by implementing automated data validation and monitoring workflows
Network Design Engineer
Tata Communications Ltd
Chennai
09.2019 - 04.2022
- Supported Vodafone UK network design and provisioning using DWDM, Ciena Mux/Demux, OTN, and SNC cross-connects
- Gained exposure to MPLS and SD-WAN technologies; used C programming for configuration validation and operational support
Education
MSc - Data Science
University of Surrey
Guildford02-2026
Bachelor of Engineering - Electronics and Communication Engineering
Anna University
Chennai04.2019
Skills
Programming & Data
- Python
- SQL
- Pandas
- NumPy
- SQLAlchemy
Machine Learning & Analytics
- Scikit-learn
- Feature Engineering
- Time Series Analysis
- Model Evaluation & Metrics
Data Engineering & APIs
- ETL Pipeline Development
- Data Cleaning & Processing
- REST API Development (Flask, FastAPI)
Cloud & DevOps
- AWS (EC2, S3, RDS)
- Docker
- CI/CD (GitHub Actions, Jenkins)
Data Visualisation & Monitoring
- Matplotlib
- Kibana
- Grafana
Languages
- English - PROFICIENT
- Tamil - FLUENT
Timeline
Automation Engineer - Data Focus
Quvia
06.2023 - 12.2024
Data Analyst
Quvia
05.2022 - 05.2023
Network Design Engineer
Tata Communications Ltd
09.2019 - 04.2022
MSc - Data Science
University of Surrey
Bachelor of Engineering - Electronics and Communication Engineering
Anna University