Business analyst

◦ Financial Reporting: Prepare and submit accurate financial reports (P&L, Balance Sheet, Cash Flow Statement) to management for informed decision-making. ◦ Financial Planning, Budgeting & Forecasting: Lead financial planning, budgeting, and forecasting to guide strategic decisions and optimize organizational performance. ◦ Strategic Planning & Analysis: Conduct strategic planning & analysis to identify emerging trends risks, and opportunities; develop data-driven strategies aligned with corporate objectives. ◦ Data Quality & ETL Management: Maintain data quality & ETL pipelines, ensuring reliable, accurate, and well-integrated datasets. ◦ Data Visualization & Business Intelligence: Develop interactive Power BI dashboards and perform exploratory data analysis using Python and SQL to uncover actionable insights. ◦ Predictive & Prescriptive Analytics: Build predictive and prescriptive models using regression, clustering, and classification techniques to forecast trends and optimize resource allocation. ◦ A/B Testing & Customer Insights: Design and execute A/B tests and analyze customer feedback with NLP to improve operations, service delivery, and customer satisfaction. ◦ Bayesian Analytics & Risk Assessment: Apply Bayesian methods for risk assessment and to support investment and operational decisions. ◦ Business Performance Evaluation: Evaluate business performance metrics across finance, operations, and sales to drive cost optimization and operational improvements. ◦ Process Optimization & Collaboration: Streamline workflows, enhance process efficiency and compliance and collaborate cross-functionally to align analytics with strategic priorities.

Bachelor of Commerce, Accounting

Second class Honor's , Upper division: Key Learnings: Strong foundation in financial reporting, budgeting, cost control, and financial analysis. Built knowledge in economics, business strategy, and corporate governance, supporting current treasury and business analysis responsibilities. Courses: Financial Reporting, Management Accounting, Taxation, Financial Analysis, Auditing, Economics.

Data science

Key Learnings: Hands-on experience in Python, data analytics, statistical modeling, and machine learning (regression, classification, clustering, neural networks). Built predictive models and dashboards to support data-driven decisions in customer trends, sales forecasting, and operational efficiency. Courses: Computational Statistics, Machine Learning, Time Series Forecasting, Predictive Modeling, Bayesian Modeling, Research