About
Highly analytical Computer Science graduate with a strong foundation in data analysis and business intelligence, eager to transform complex data into actionable insights. Proven ability to design interactive dashboards, and optimize data processes using Python, SQL, Power BI, and advanced analytical techniques. Seeking to apply technical expertise and problem-solving skills to drive data-driven decision-making and deliver significant business value.
Work
Independent Project
|Patient Wait List Insights (Power BI Dashboard)
Hyderabad, Telangana, India
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Summary
Developed an interactive Power BI dashboard to analyze patient waiting lists, featuring dynamic filtering and specialty-wise breakdowns to support operational insights.
Highlights
Developed and customized an interactive Power BI dashboard to track patient waiting lists by case type and specialty, utilizing enhanced visuals and DAX measures for improved data accessibility.
Applied Power Query for robust data transformation and modeling, enabling dynamic filtering, trend analysis, and specialty-wise breakdowns across diverse datasets.
Utilized Power BI, DAX, Power Query, and Data Transformation & Modeling to deliver a comprehensive business intelligence solution, enhancing operational insights for patient management.
Independent Project
|AppVision (SQL Analysis of Play Store Apps)
Hyderabad, Telangana, India
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Summary
Executed complex SQL queries to analyze Play Store app records, deriving critical developer and performance insights by applying advanced SQL functions.
Highlights
Designed and executed complex SQL queries, leveraging joins, CTEs, CASE logic, and window functions to derive critical developer and performance insights from app records.
Optimized data processing by cleaning and reformatting Score and Version columns, resulting in a 30% reduction in query run time.
Authored 12 modular SQL queries, ranging from beginner to advanced concepts, to effectively extract and analyze Play Store app data.
Utilized SQL, MySQL Workbench, and Microsoft Excel for comprehensive data analysis and reporting, ensuring data integrity and accessibility.
Independent Project
|Student Performance Indicator
Hyderabad, Telangana, India
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Summary
Developed a Python-based machine learning model with an 88% accuracy rate to predict student performance, integrating it into a real-time prediction web interface.
Highlights
Developed a Python-based machine learning model to predict student performance, achieving 88% accuracy through EDA-driven feature engineering and scikit-learn models.
Integrated the trained model into a Streamlit web interface, enabling real-time predictions and user interaction with an adapted layout.
Utilized Python, scikit-learn, Pandas, NumPy, Matplotlib, and Jupyter Notebook for comprehensive model development, data processing, and visualization.
Education
Rajiv Gandhi University of Knowledge Technologies, Basar
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6-Year Integrated B.Tech
Computer Science and Engineering
Grade: CGPA: 7.8 (Bachelor of Technology), CGPA: 8.2 (Pre-University Course)
Ricob Bazar Govt High School
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Class X
Secondary Education
Grade: GPA: 9.8
Skills
Data Analysis & ML Libraries
scikit-learn, NumPy, Pandas, Matplotlib.
Business Intelligence & Databases
Power BI, MySQL, Excel.
Tools & Platforms
MySQL Workbench, Jupyter Notebook, GitHub, Streamlit.
Soft Skills
Communication, Team Collaboration, Time Management, Problem Solving, Adaptability, Fast Learner.
Data Science Techniques
SQL Querying, Data Cleaning, Feature Engineering, Data Transformation & Modeling, DAX.
Programming Languages
Python, SQL.