Artificial Intelligence & Data Science Student
Final-year Computer Science Engineering student specializing in AI & DS at Vasireddy Venkatadri Institute of Technology. Proficient in Python, Java, and competitive coding. Experienced in Machine Learning & Data Science projects with strong problem-solving, leadership, and communication skills.
I'm deeply passionate about data science and love turning real-world problems into smart solutions. I enjoy exploring data, building predictive models, and seeing how machine learning can make a real impact. I'm always excited to learn new things, take on challenges, and keep growing every day in this fast-moving tech world.
My approach combines rigorous data analysis with creative problem-solving to deliver solutions that are both technically robust and user-friendly. I enjoy optimizing my work through prompt engineering and AI tools, allowing me to deliver smarter and faster solutions with ease.
Developed a crop recommendation system using machine learning to recommend the best crop to grow based on the soil type, weather conditions, and other factors. Also developed a deep learning model to predict the crop disease using images. The model is trained on a dataset of 10000 images of crop diseases and the model is able to predict the disease with an accuracy of 90%.
Built an interactive dashboard using Streamlit and Plotly for COVID-19 data visualization and risk prediction. The system analyzes state-wise trends and provides dynamic risk classification to support public health decisions.
Developed a predictive model to predict the risk of heart failure based on the given features using machine learning algorithms.
Vasireddy Venkatadri Institute of Technology, Nambur
2022 - 2026 (Currently 3rd Year)
Vignana Bharathi Junior College, Chirala
2020 - 2022
Vijaya Lakshmi High School, Chirala
2019 - 2020
My professional journey and the experiences that have shaped my career
Extracted, cleansed, and transformed 500 million+ rows of raw data from disparate sources using AWS Glue and Python, creating unified datasets optimized for analysis with Redshift and QuickSight.
Designed and implemented data models in AWS Redshift, improving query performance by 40% and empowering business users with self-serve reporting.
Pioneered ETL processes reducing manual intervention by 80 hours/month while improving data accuracy.
Developed predictive models using Altair's data visualization tools to solve complex business problems.
Implemented machine learning pipelines for time-series forecasting with 88% accuracy.
Created interactive dashboards to communicate data insights to non-technical stakeholders.
Built scalable data pipelines processing 1TB+ daily datasets using AWS services.
Optimized Athena queries reducing costs by 35% through partitioning strategies.
Automated data quality checks reducing error rates by 60%.
Ranked in top of Python programmers for efficient algorithm solutions and clean code practices.
Have a project in mind or want to discuss potential opportunities? Feel free to reach out!
Ask me about anything!