About
MBA Finance fresher with a robust foundation in financial management, accounting, and risk management, coupled with expertise in advanced data analytics and visualization tools including Power BI and MS Excel. Adept at transforming complex data into actionable business insights and strategic recommendations, poised to drive data-driven decision-making in finance or corporate analytics roles.
Work
Shopsify Sales Analysis Project
|Business Intelligence Developer | Data Analyst
Hyderabad, Telangana, India
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Summary
Developed an interactive Power BI dashboard to analyze Shopify sales data, providing actionable business insights for strategic decision-making.
Highlights
Engineered a comprehensive Power BI dashboard for Shopify sales analysis, integrating key performance indicators (KPIs) such as Net Sales, Order Value, Customer Retention, and Lifetime Value to deliver actionable business insights.
Designed dynamic data visualizations, including maps, trends, and detailed product/payment analyses, empowering stakeholders to monitor customer behavior, regional sales performance, and purchasing patterns for data-driven strategic decisions.
Data Analysis with Statistics Project
|Statistical Analyst | Data Scientist
Hyderabad, Telangana, India
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Summary
Performed statistical data analysis and time-series forecasting to predict sales trends and identify key sales drivers.
Highlights
Executed time-series forecasting using a 10-day moving average to accurately predict sales trends and revenue, providing critical insights for strategic planning.
Applied advanced statistical tests, including t-test, ANOVA, and regression, to rigorously compare product categories and identify primary sales drivers, informing targeted business strategies.
Ensemble Model for Image Forgery Detection Project
|Machine Learning Engineer | Data Scientist
Hyderabad, Telangana, India
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Summary
Developed a Hybrid Ensemble SVM model leveraging transfer learning for advanced image forgery detection.
Highlights
Developed a Hybrid Ensemble SVM model for robust image forgery detection, integrating transfer learning features from advanced Convolutional Neural Networks (MobileNet, SqueezeNet, ShuffleNet) to enhance detection accuracy.
Implemented advanced deep learning architectures, including MobileNet, SqueezeNet, and ShuffleNet, to extract sophisticated features for enhanced model performance and efficiency.
Optimized model performance through rigorous testing and validation, demonstrating the capability to identify subtle image manipulations with high precision for critical security applications.
Education
Malla Reddy Engineering College
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Post Graduation
MBA Finance
Grade: CGPA: 7.77/10
B.V. Raju Institute of Technology
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B Tech
Computer Science and Business Systems
Grade: CGPA: 7.69/10
Ratnapuri Institute of Technology
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Pre-University Studies
Mechanical Engineering
Grade: CGPA: 8.58/10
Ratnapuri Vidyalayam
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High School
High School Studies
Grade: Marks: 320/500
Skills
Data Analysis & Business Intelligence
Power BI, Advanced MS Excel, Data Modelling, DAX, Data Visualization, Power Query, Google Sheets, MS Office, KPI Management, Actionable Insights.
Programming & Databases
Python, SQL, MySQL, VBA.
Machine Learning & Statistical Analysis
Supervised Machine Learning, Hybrid Ensemble SVM, Transfer Learning, CNNs (MobileNet, SqueezeNet, ShuffleNet), Time-series Forecasting, T-test, ANOVA, Regression, Statistical Tests.
Professional & Communication Skills
Collaboration, Stakeholder Engagement, Communication Skills.