Sharath Vellanki

Capable Software Engineer with entry-level professional experience in the software industry. My ambition is to develop scalable solutions and drive the company's growth by utilizing innovative technology. Dedicated to optimizing processes and delivering high-quality products that propel businesses forward.

My Highlights:

-I am experienced in data science with 7+ years in developing and deploying end-to-end ML pipelines, optimizing model performance, and conducting comprehensive data analysis using tools like Scikit-learn, XGBoost, TensorFlow, and Docker.

-Led the automation of malaria diagnosis using deep learning techniques, achieving a 97% accuracy by amalgamating CNN architectures - AlexNet, VGG16, and ResNet. Developed a user-friendly website enabling malaria detection via image submission, leveraging HTML, CSS, and Flask.

• Utilized OpenCV and Pytesseract to implement an Optical Character Recognition (OCR) system, extracting text data from 150+ customer review PDFs and converting the data into editable formats.
• Performed customer review classification using XGBoost, reducing manual analysis time for bot reviews by 150 minutes. 
• Utilized NLP for text preprocessing, Scikit-learn for TF-IDF vectorization, and applied hyperparameter tuning to optimize the model's performance to 94% accuracy. 
• Automated the entire process from NLP text preprocessing to model building using Scikit-learn pipelines, reducing manual effort by 30+ hours.

Conducted data analysis to identify patterns and trends, applied statistical analysis and visualization, and recommended multiple solutions leading to a 15% reduction in operational costs.

Masters in Data Science(Special focus on Statistics)