Highly motivated Computer Science student with a strong foundation in data analytics, SQL, Python, and Power BI, actively seeking to leverage technical expertise in data-driven roles. Proven ability to analyze complex datasets, develop insightful reports, and contribute to advanced projects utilizing machine learning and computer vision. Eager to apply analytical skills to solve real-world problems and drive impactful solutions in the data analysis field.
Data Analytics Intern
Hyderabad, Telangana, India
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Summary
Collaborated with the fraud risk team to monitor suspicious transactions and develop reports, enhancing financial fraud detection processes.
Highlights
Analyzed complex transaction data to identify suspicious patterns, contributing directly to the enhancement of financial fraud detection processes.
Developed and presented comprehensive reports using SQL and Power BI, providing actionable insights that informed risk assessment and mitigation strategies.
Assisted in the real-time monitoring of high-volume transaction streams, significantly improving the efficiency of identifying potential fraudulent activities.
Gained practical experience in financial data analysis, risk management, and data visualization within a dynamic corporate environment.
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Bachelor of Technology (B.Tech/B.E.)
Computer Science
Grade: 69%
Courses
Data Structures and Algorithms
Database Management Systems
Machine Learning
Artificial Intelligence
Operating Systems
Software Engineering
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Class XII
Science
Grade: 90%
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Class X
General Studies
Grade: 90%
Awarded By
Parul Institute of Engineering and Technology
Consistently ranked among the Top 3 in class and Top 10 in the overall B.Tech/B.E. program, demonstrating exceptional academic achievement in Computer Science.
Awarded By
Telangana Board
Achieved School Topper status and consistently ranked in the Top 3 and Top 10 across various subjects in both Class X and Class XII, reflecting strong foundational knowledge and a competitive academic drive.
Data Analytics, Data Entry, Data Interpretation, Data Visualization, Reporting, Dashboards, Financial Fraud Detection.
Python, SQL, Database Management, Data Querying.
Power BI, Microsoft Excel, Jupyter Notebooks, Google Colab.
Machine Learning, Computer Vision, Artificial Intelligence, Image Recognition, Model Development.
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Summary
Developed an innovative Plant Seed Image Recognition System, a technology leveraging computer vision and artificial intelligence (specifically, machine learning) to automatically identify and classify plant seeds. This system processes digital images to categorize seeds based on their unique visual characteristics, aiming to enhance efficiency in agricultural research and quality control.