Results-driven Data Analyst with 3+ years of experience translating business requirements into actionable insights using Agile and Waterfall methodologies. Proficient in SQL and Python (NumPy, Pandas, Matplotlib) for dat…
Results-driven Data Analyst with 3+ years of experience translating business requirements into actionable insights using Agile and Waterfall methodologies. Proficient in SQL and Python (NumPy, Pandas, Matplotlib) for data analysis, forecasting, and automation. Skilled in designing interactive dashboards and reports using Tableau, Power BI, and Excel. Experienced in database management (MySQL, PostgreSQL, AWS) to optimize data processing and reporting. Strong expertise in business documentation, stakeholder communication, and problem-solving, supporting Business Intelligence, Product, Risk, and Market Analysis to drive data-driven strategies and operational efficiency.
Conducted data collection, cleaning, wrangling, and exploratory analysis using Python, enhancing dataset usability for business insights., Automated manual data processing tasks by implementing Excel macros and VBA, improving productivity and reducing errors., Utilized SAS for statistical modelling, predictive analytics, and trend analysis to support data-driven business decisions., Optimized workforce planning through SQL-based data analysis, improving resource allocation and reducing recruitment costs by $1.2M., Aggregated and analyzed data from multiple sources, including HR databases and internal tools, using SQL and Python to identify trends in project demand, employee skills, and utilization rates., Developed predictive models using linear regression to forecast workforce needs, reducing time-to-hire for key roles from 60 to 45 days.
Developed a Credit Card Default Prediction System using machine learning, enhancing risk assessment accuracy to 82% through advanced modelling techniques., Performed a multi-regional comparative analysis of CO₂ emissions, utilizing data visualization tools to generate actionable insights for stakeholders using tableau.
Partnered with cross-functional teams to streamline Agile workflows, ensuring alignment between development, business, and operational goals., Assisted in refining user stories, backlog prioritization, and sprint planning to enhance Agile delivery efficiency., Provided end-user support for CRM platforms, troubleshooting system issues, and ensuring data integrity., Designed and developed Power BI dashboards to visualize key performance indicators, enabling real-time, data-driven decision-making., Automated repetitive reporting tasks using Python, reducing manual workload, and improving data accuracy., Conducted root cause analysis on system inefficiencies, implementing process improvements to enhance overall productivity., Engaged with stakeholders to gather requirements, ensuring product enhancements met business needs and user expectations.
Developed and automated daily financial data reporting solutions, enhancing liquidity monitoring, risk management, and data-driven decision-making., Collected, integrated, and analyzed large-scale datasets using SQL and Python (Pandas, NumPy) to ensure data accuracy, consistency, and efficiency., Conducted root-cause analysis and optimized datasets for predictive modeling through advanced transformation techniques and feature engineering., Automated financial data analysis using Python scripts, reducing manual effort by 40% and decreasing ad hoc reporting requests by 50%., Designed and implemented ETL workflows using Informatica to extract, transform, and load data from multiple sources into centralized databases, improving data accessibility., Utilized SAP Business Warehouse (BW) for large-scale data management and efficient ETL processing., Performed exploratory data analysis (EDA) using SQL and Python to identify key trends and patterns, improving the accuracy of financial risk assessments
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