Soundarya Veer

I’m an aspiring Data Analyst with a Master’s degree in Data Science from Coventry University and a strong interest in transforming raw data into meaningful insights that support business decisions. While currently working as a Control Coordinator at Evri in an operations-based role which has my interest in process automation, my core passion lies in data — particularly in analysis, visualization, and storytelling.

Through internships and project-based training, I’ve gained hands-on experience in Python, SQL, Power BI, and Excel, working on real datasets to perform data cleaning, build dashboards, and develop predictive models. I’m especially interested in using data to solve real-world problems in industries like retail, logistics, and finance.

My goal is to fully transition into a Data Analyst role where I can apply my technical skills, attention to detail, and curiosity to uncover insights and contribute to data-driven decision-making. I’m currently open to opportunities that will help me grow in this direction and build a long-term career in analytics.

I am currently working as a Control Coordinator at Evri, where I support logistics operations by managing vehicle movements and generating daily reports using Excel and Yard Management Software. This role has given me practical exposure to operational data and strengthened my interest in transitioning fully into a data-focused career.

Previously, I worked as a Data Analyst Intern at Smart Loyal, where I developed predictive models, created and maintained ETL scripts, and built interactive dashboards using Python, SQL, and Power BI to support business decisions.

Alongside my current job, I have always tried to stay hands on with the data. I completed a Data Analyst training program at Victoria Solutions, where I gained hands-on experience building data pipelines, cleaning large datasets, and creating visual reports to analyze retail sales and demand trends.

I hold a Master’s degree in Data Science from Coventry University, UK, where I gained strong skills in data analysis, machine learning, data visualization, and programming with Python and SQL. My coursework and projects focused on real-world applications such as predictive modeling, data cleaning, and dashboard creation using tools like Power BI and Tableau.