Hariharan Sridhar

Data and Financial Analytics Professional with over 3 years of experience at Capgemini in data-driven financial operations, process automation, and ERP systems (SAP, Salesforce). Proficient in Python, SQL, Power BI, Tableau, and advanced Excel for data modelling, visualisation, and automation. I have completed my MSc in Financial Technology and Business Analytics from the University of Chester, UK (2025), where I specialised in Artificial Intelligence in Finance, Quantitative Techniques, and Business Analytics Programming.

Skilled in transforming complex financial data into actionable insights to support decision-making, forecasting, and risk management across global business environments.

I have over three years of experience across business analysis, financial operations, and warehouse logistics, supported by a strong academic background in FinTech and business analytics.

Most recently, I worked as a Business Analyst at London Success Academy, where I gathered requirements, documented processes, and built KPI dashboards to drive data‑driven recommendations and process improvements using Excel and SQL. Prior to this, I held multiple roles at Capgemini (Associate, Process Associate, Senior Associate), focusing on accounts receivable, invoice billing, cash application, collections, and master data management in SAP, while also training new joiners and contributing to process documentation and SLA adherence. I briefly worked as a Warehouse Operative at Great Bear Distribution Ltd, gaining hands-on experience in operations and logistics, complementing my interest in using data to enhance operational efficiency.

My most relevant education is my MSc in Financial Technology and Business Analytics from the University of Chester. This degree has given me a strong foundation in data analysis, financial technology, business analytics, and coding (particularly Python and SQL), with a clear focus on data-driven decision-making in financial and business environments