Yash Raythatha

-Aspiring data scientist with a solid foundation in statistical analysis, machine learning, and programming, seeking a challenging internship opportunity to apply and enhance my skills in a real-world setting. Eager to contribute my analytical mindset and passion for extracting meaningful insights from data to contribute to innovative projects. Adept at leveraging Python and SQL for data manipulation, visualization, and modeling. Committed to continuous learning and staying abreast of emerging trends in the field of data science.

-Excited to collaborate with a dynamic team and contribute to the success of [Company Name] by delivering data-driven solutions and actionable recommendations."

-AZ-104 Azure Administrator.

-Python Essential Training

Laptop Price Predictor | Data Engineering Role

Description:

• Developed a Laptop price predictor system by consolidating data from Kaggle datasource.
• Implemented robust data cleaning processes to ensure data quality and consistency, addressing missing values and outliers.
• Applied advanced data engineering techniques to transform raw data into a structured format suitable for machine learning model development(Like regression).
• Deployed the model on the website using pickel and streamlit.

Outcome:

• Successfully created a reliable dataset for machine learning model development.
• Improved prediction accuracy through rigorous data cleaning and engineering processes.

Technologies Used:

• Python: Pandas, NumPy.
• Data Visualization: Matplotlib, Seaborn.
• Regression model : Random Forest Regressor.
• Deployment tool : StreamLit.