Sai Kiran Talasila

IT Graduate | Database Development & Data Analysis Specialist

Vijayawada, IN.

About

Highly motivated IT graduate with hands-on experience in database development, PL/SQL programming, and data analysis, seeking to leverage technical expertise in a forward-thinking organization. Proven ability to execute real-time projects, optimize complex systems, and ensure robust data integrity. Adept at collaborating with cross-functional teams to deliver effective, scalable, and secure solutions that drive business value and foster continuous growth.

Education

NRI Institute of Technology

Vijayawada, Andhra Pradesh, India
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B.Tech Information Technology Grade: GPA: 8.71

Narayana Junior College

Vijayawada, Andhra Pradesh, India
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XII (IPE) Intermediate Public Examination (IPE) Grade: GPA: 9.57

Rishi Vidya Nikethan

Vijayawada, Andhra Pradesh, India
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SSC Secondary School Certificate (SSC) Grade: GPA: 9.8

Publications

ANALYSING TESLA STOCK PRICES USING MACHINE LEARNING ALGORITHM

Authored and published a research paper focused on analyzing and predicting Tesla stock prices using a Machine Learning algorithm.

Certificates

Python Certification

NPTEL

Cloud Computing Certification

NPTEL

SQL Advanced Expert Badge

HackerRank

Amazon Web Services Course

Verzeo

Skills

Database Technologies

MySQL, Oracle SQL, PL/SQL, RDBMS, Database Systems, Data Storage.

Database Administration

DBA Tasks, Patching, Performance Monitoring.

Programming & Scripting

Python, Linux.

Data Analysis & Visualization

SQL-based Data Analysis, Tableau.

Version Control & Tools

GitHub.

Projects

Placement Management Database System

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Summary

Designed and implemented a comprehensive system to automate and streamline the student placement process, from initial registration through job offer.

Retail Management Database Enhancement Initiative

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Summary

Developed a centralized retail system to enhance inventory management, supplier relations, and customer analytics, improving operational insights.

Tesla Stock Price Prediction using Machine Learning

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Summary

Developed a Linear Regression model in Python to forecast Tesla stock prices with high accuracy, demonstrating strong analytical capabilities.