Sudheesh S
Data Analyst experienced in transforming data into actionable insights across banking, healthcare, and retail domains
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About
Data Analyst experienced in transforming data into actionable insights across banking, healthcare, and retail domains. I am skilled in Python, SQL, Power BI, and Excel, with a strong focus on reporting automation, data analysis, and KPI-driven dashboard development. Proven ability to enhance decision-making and translate business requirements into effective, data-driven solutions.
Experience
Data Analyst at Freelance (2024-08 – 2026-06)
- Spearheaded the implementation of interactive Power BI solutions featuring advanced DAX measures and drill-through analytics, improving reporting efficiency by 35% and accelerating insight generation.
- Formulated scalable data models and reporting architectures that reduced dashboard refresh times by 40% while enhancing analytical performance.
- Established KPI governance frameworks and executive scorecards, increasing performance visibility by 25% and enabling data-driven strategic planning.
- Orchestrated cross-functional reporting initiatives by translating business requirements into actionable intelligence, driving a 30% increase in stakeholder adoption.
- Generated forecasting models and performance benchmarking analyses that uncovered growth opportunities, contributing to a 20% improvement in revenue optimization efforts.
Advanced Analyst at EY (2023-07 – 2023-09)
- Automated data extraction, visualization, and reporting procedures for a prominent Middle East client (Abu Dhabi Islamic Bank), resulting in a 40% reduction in manual effort and increasing data accuracy by 25% through proficient use of Python, SQL, Power BI, and Excel.
- Collaborated with internal and external stakeholders to identify key performance indicators (KPIs) for financial crime data analytics, leading to a 15% increase in reporting accuracy.
- Designed and developed comprehensive dashboards and reports utilizing data visualization tools, resulting in a 30% increase in senior management's ability to make informed decisions.
- Collaborated with cross-functional teams to analyze business requirements and develop data reporting strategies, resulting in a 20% increase in efficiency.
- Produced weekly, monthly, and yearly reports on bank performance, incorporating key financial metrics and market analysis, resulting in increased transparency and improved stakeholder understanding of the bank's finances.
Data Analyst at Freelance (2022-02 – 2023-03)
- Executed data analysis and generated reports for clients in various industries, including healthcare, finance, and e-commerce.
- Performed comprehensive data cleaning and analysis to identify key trends, resulting in an enhanced data accuracy rate of 80%.
- Created dashboards and visualizations using tools like Power BI, Tableau, and Excel to provide timely insights into customer behavior and purchasing trends, resulting in improved decision-making accuracy by 30%.
- Engineered merchandising strategies for grocery retailers based on data analysis identifying key store attributes to increase traffic and conversion, resulting in a 25% sales lift.
- Applied Python programming to automate data analysis processes, increasing efficiency and reducing manual errors, leading to a 25% enhancement in precision.
Programmer at Cognizant Technology Solutions (2019-05 – 2021-12)
- Used OCR packages such as OpenCV and Pytesseract to extract text from thousands of PDF files for the TriZetto project, resulting in a significant increase in efficiency and accuracy in data extraction.
- Developed a machine learning model for comparing extracted text with master data files, producing similarity scores with a 93% accuracy rate that helped to improve overall data quality.
- Designed data visualizations using Power BI and Tableau to analyze customer data and identify areas for improvement, resulting in a 5% increase in customer satisfaction.
- Leveraged SQL to extract, manipulate, and analyze data from large databases to support decision-making processes, yielding a time savings of 40%.
- Utilized Python and data science tools to analyze and visualize large sets of customer data, resulting in a revised process accuracy rate of 75%.
Education
Bachelor of Computer Applications in Computer Applications – Sree Narayana Guru College
Higher Secondary in Computer Science – VMHSS, Vadavannur

