<aside> 🎨 Hello! I'm Veera Venkata RaviTeja, a dedicated data analyst enthusiast currently pursuing my final year of a bachelor's degree. With a keen eye for insights and a passion for unraveling data, I've gained practical experience through various projects. I'm eager to apply my skills to real-world challenges and contribute to data-driven solutions. I am proficient in utilizing Python libraries like Pandas, NumPy, and Matplotlib to extract, clean, and analyze large datasets. Additionally, I am skilled in SQL and have experience working with SQL Server Management Studio (SSMS) to retrieve and manipulate data from relational databases.

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🌈 Profile

I'm a creative thinker, a problem solver, and an avid learner, always exploring new trends and technologies in the field of data analytics and visualization.

My analytical mindset and strong technical foundation enable me to transform complex data into meaningful insights that drive business decisions. I believe in the power of continuous learning and staying adaptable in our rapidly evolving technological landscape.

🎓 Education

Bachelor of Technology - Aditya College of Engineering & Technology | 2025

• Specialized in Electronics & Communications.
• Thesis: Design and Implementation of IoT-based Smart Agriculture Monitoring System using Machine Learning Algorithms - Focused on optimizing crop yield through sensor data analysis and predictive modeling.

Intermediate - Sri Chaitanya Junior College, Rajahmundry | 2021

• Secured 87.1% in MPC (Mathematics, Physics, Chemistry) stream with distinction.
• Relevant coursework: Advanced Mathematics, Physics, Chemistry, Computer Science fundamentals.

Matriculation - Meher Vidya Niketan E.M High School | 2019

• Graduated with a GPA of 10.0/10 and received academic excellence award.
• Active participation in school leadership activities and science exhibitions.

💼 Experience

Data Analytics Intern - Amaravathi Software Inn. | June 2024 - July 2024

• Utilize Python libraries like Pandas, NumPy, and Matplotlib to extract, clean, and analyze large datasets.
• Employ data visualization libraries such as Seaborn and Plotly to generate compelling visualizations that communicate insights effectively.
• Write efficient SQL queries using SQL Server Management Studio (SSMS) to retrieve and manipulate data from relational databases.