Siddi Adarsh

Analytical professional with a strong foundation in Computer Science and Data Science, seeking to leverage expertise in data cleaning, aggregation, and visualization to support fintech operations. Proven track record of transforming raw datasets into actionable insights through SQL-driven analytics and automated reporting, with a sharp focus on data accuracy and operational efficiency.

Analyst at Capgemini (2024-09 – Present)

Data analyst role focused on data collection, cleaning, organization, and reporting automation

• Collect, clean, and organize large relational datasets using advanced SQL and Python, ensuring data consistency and reducing reporting turnaround time by 25%.
• Support leadership teams by identifying trends and anomalies in business data to facilitate data-informed decision-making and performance tracking.
• Automated recurring reporting workflows using Python and Excel VBA, reducing manual effort by 40% and ensuring high attention to detail in financial data reconciliation.
• Documented complex data definitions and analysis steps to ensure transparency and future reference for cross-functional teams.

Data Operations Intern at Deepen AI (2022-07 – 2022-09)

Data operations internship focused on data preprocessing and validation for AI-enabled systems

• Executed end-to-end data preprocessing including extraction, transformation, and structured validation of datasets to ensure high accuracy for AI-enabled systems.
• Improved dataset consistency by 35% through systematic data cleaning and normalization techniques.
• Collaborated with internal teams to understand data requirements and supported senior analysts in preparing compliance-ready analytics reporting.

Bachelor of Technology in Computer Science (Data Science) – CMR Technical Campus (2020-09 – 2024-07)