Kadapalli Dhanendranath

Recent Computer Science and Business System Engineering graduate with a passion for the software field. Eager to apply my skills and contribute to the growth of a forward-thinking organization.

Resume Screening:

Tools Used : HTML, CSS, JavaScript, Python,NLP

Developed Natural Language Processing (NLP) techniques utilizing cosine similarity algorithms to automate resume screening and streamline recruitment, resulting in a 40% reduction in time spent on candidate screening and improved matching accuracy

AI Voice assistant for desktop: 

Tools Used : PYTHON

Is an application program that understands natural language voice commands and completes tasks for the user in desktop.Implemented advanced NLP techniques to accurately understand and process user commands.Developed functionalities to automate common desktop tasks, such

as opening applications, managing files, and controlling system settings.Enabled the assistant to interact with various desktop applications.

Crude oil Prediction:

Tools Used : Jupiter NoteBook, Prophet

Libraries/Frameworks: Scikit-learn, Pandas, NumPy, Matplotlib, Seaborn

Developed a predictive model to forecast crude oil prices using Prophet algorithm.Collected and preprocessed historical crude oil price data, ensuring data accuracy and completeness.Visualized predictions and trends using Matplotlib, aiding in better understanding of price fluctuations.Achieved high accuracy in forecasting crude oil prices by effectively tuning Prophet parameters.

Data Science Certification in ExcelR

I hereby declare that all the above-mentioned information is true and correct to the best of my knowledge.