Property Price Prediction Engine - Data Science Project
Summary
Developed an end-to-end real estate price prediction model using Python and Regression techniques, focusing on comprehensive data processing and model visualization.
Highly motivated and results-driven Information Technology graduate with hands-on experience in data engineering, analytics, and software development. Proficient in Azure cloud services, SQL, Python, and Java, with a proven ability to optimize data processing, build interactive dashboards, and implement robust security solutions. Eager to leverage strong analytical and technical skills to contribute to innovative projects in a dynamic tech environment.
Associate Software Engineer Intern
Hyderabad, Telangana, India
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Internship
Summary
Gained practical experience as an Associate Software Engineer Intern, applying core Java, SQL, Cloud, and SAP ABAP concepts to real-time business scenarios within an Agile development framework.
Highlights
Applied core concepts of Java, SQL, Cloud Computing, and SAP ABAP within an Agile development environment to address real-time business scenarios.
Developed and optimized SQL queries and Java programs, performing mock exercises on cloud-based solutions and SAP ABAP module customization, including Data Dictionary development.
Data Analytics Intern (Power BI)
Remote
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Internship
Summary
Created interactive dashboards using Microsoft Power BI and significantly improved data processing efficiency to drive data-informed business decisions and actionable insights.
Highlights
Designed and developed interactive dashboards using Microsoft Power BI, enabling data-informed business decisions and enhancing data visualization.
Boosted data processing efficiency by 30% through advanced data analysis and transformation techniques utilizing Power Query, delivering actionable insights.
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Bachelor of Technology
Information Technology
Grade: 8.6 CGPA
Courses
Data Engineering
Data Science
Data Analytics
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High School Diploma
Mathematics, Physics, Chemistry
Grade: 92.2%
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10th Grade
Grade: 10.0 GPA
Core Java, Python, SQL.
Azure Data Factory, Azure Synapse Analytics, Microsoft Power BI, Azure Databricks, Azure Active Directory, Azure Key Vault, Google Colab.
Data Analysis, Data Visualization, ETL (MS Power BI, Azure Cloud), Data Warehousing (Conceptual), Data Engineering.
Summary
Developed an end-to-end real estate price prediction model using Python and Regression techniques, focusing on comprehensive data processing and model visualization.
Summary
Designed and executed a customer segmentation project utilizing Azure Databricks and SQL to derive actionable insights from large datasets.
Summary
Implemented robust data security and compliance measures using Azure Active Directory, Role-Based Access Control, and multi-factor authentication.