Sonal Agarwal π β Data Analyst
β’ Completed MSc in Data Science at the University of Bristol, developing strong expertise in machine learning, large-scale data engineering, and advanced analytics.β’ Data Science and IT professional with a B.Tech in Information Technology, complemented by hands-on experience in software development, cloud infrastructure, and technology operations.β’ Professional experience includes:TechOps Engineer at Thales: Led system performance optimization, cloud automation, and service reliability improvements for global users.Software Developer at KPMG: Designed intuitive, responsive web interfaces to enhance financial data accessibility and user experience.Full Stack Developer at TCS: Contributed to developing a CFO Board website and FAQ section used by 10,000+ users, streamlining critical information access.β’ Technical skillset includes Python, AWS, Docker, Kubernetes, Tableau, machine learning, natural language processing (NLP), data visualization, JavaScript, HTML/CSS, MySQL, Git, and Linux environments.β’ Strong communicator and collaborator, adept at problem-solving, adapting quickly to new challenges, and working effectively within cross-functional teams.β’ Key projects: - Exploring Socio-Economic Trends in England and Wales: Utilized Tableau, Bayesian methods, PCA, and t-SNE to analyze UK Census data, generating actionable insights on employment and diversity patterns to inform policy decisions. - Text Analytics for Climate Disclosures and Social Media: Built NLP models including transformer-based ClimateBERT for sentiment analysis and entity extraction, demonstrating expertise in handling unstructured data and advanced machine learning techniques. - COVID-19 Web Scraper & Voice Assistant: Developed Python-based tools for real-time data scraping and voice interaction, showcasing skills in automation, API handling, and user interaction design. - Cloud-Native Data Analytics Application: Created a scalable AWS and Docker-based analytics platform automating data pipelines and integrating multiple data sources for real-time processing and visualization. - DevOps Pipeline Automation: Implemented automated CI/CD pipelines with Jenkins, GitHub Actions, and Docker, improving deployment efficiency and reducing errors in production environments.
Stackforce AI infers this person is a Data Science and Cloud Infrastructure expert with a focus on automation and analytics.
Location: Bristol, England, United Kingdom
Experience: 2 yrs 9 mos
Skills
- Data Analysis
- Statistical Modeling
- Cloud Infrastructure
- Automation
- System Optimization
- Full Stack Development
- Web Development
- Restful Apis
- Communication
Career Highlights
- Expert in machine learning and data engineering.
- Led automation initiatives improving system reliability.
- Developed impactful data analytics applications.
Work Experience
Hyvv
Data Analyst (8 mos)
Etcembly Ltd
Data Analyst (4 mos)
Bristol Data Science Society
Technical Team Member (6 mos)
Thales
TechOps Engineer 1 (Technical Data Analyst β Automation & Process Insights) (9 mos)
TechOps Engineer (3 mos)
Intern (6 mos)
Tata Consultancy Services
Full Stack Developer intern (2 mos)
KPMG India
Software Developer Internship (1 mo)
The Earth Saviours Foundation
Student Intern (2 mos)
Education
Master's degree at University of Bristol
Bachelor of Technology - BTech at Amity University