Sai Kumar Kuraparthi's Portfolio

visitor@portfolio:~$whoami

MCA Fresher skilled in Python, Java, SQL, Power BI, Tableau, and Django Hands-on experience in data analytics, web development, and machine learning Developed end-to-end solutions from data preprocessing to deployment Certified in Deloitte Australia Data Analytics Job Simulation and IoT

visitor@portfolio:~$> cat README.md

visitor@portfolio:~$> experience --list

Major Project – MCA@Aurora’s PG College

Jan 2023 - Jan 2025

Stock Price Prediction using Machine Learning
Tools & Technologies: Python, Scikit-learn, XGBoost, StandardScaler, Logistic Regression, XGBClassifier, Pandas, Matplotlib, Seaborn
Objective: To design and implement a predictive system for Tesla stock price movement using advanced machine learning techniques.
Key Contributions:
Data Preprocessing: Cleaned and prepared historical stock data using techniques such as handling missing values, feature scaling with StandardScaler, and outlier treatment.
Feature Engineering: Derived technical indicators (e.g., RSI, Bollinger Bands, Moving Averages) and time-based features to enhance model input quality.
Model Building:
Developed and tuned XGBClassifier for capturing complex, non-linear patterns.
Implemented Logistic Regression as a baseline classifier.
Performance Optimization:
Used Grid Search and Cross-Validation for hyperparameter tuning.
Improved model accuracy from 62% to 75%, with higher precision and F1-score.
Evaluation & Visualization: Analyzed model results using confusion matrix, ROC-AUC, and plotted predictions vs actual trends.

visitor@portfolio:~$> npm install --save-dev

+Python

+Java

+JavaScript

+HTML5

+CSS3

+Django

+SQL

+MySQL Server

+Power BI

+Tableau

+Excel

+Micro soft Windows

+Scikit-learn

+Data Preprocessing

+Feature Engineering

+VS Code

+Anaconda

+Git

+Problem-solving

+Debugging

+Collaboration

+Attention to Detail

visitor@portfolio:~$> cat /etc/education

Master of Computer Applications (MCA)

Aurora PG College, Autonomous

Jan 2023 - Jan 2025

visitor@portfolio:~$> cat .contact

saikumarkuraparthi2@gmail.com

+91 9948528293

visitor@portfolio:~$echo "Thanks for visiting!"

visitor@portfolio:~$whoami

visitor@portfolio:~$> cat README.md

visitor@portfolio:~$> experience --list

Major Project – MCA@Aurora’s PG College

Jan 2023 - Jan 2025

Stock Price Prediction using Machine Learning
Tools & Technologies: Python, Scikit-learn, XGBoost, StandardScaler, Logistic Regression, XGBClassifier, Pandas, Matplotlib, Seaborn
Objective: To design and implement a predictive system for Tesla stock price movement using advanced machine learning techniques.
Key Contributions:
Data Preprocessing: Cleaned and prepared historical stock data using techniques such as handling missing values, feature scaling with StandardScaler, and outlier treatment.
Feature Engineering: Derived technical indicators (e.g., RSI, Bollinger Bands, Moving Averages) and time-based features to enhance model input quality.
Model Building:
Developed and tuned XGBClassifier for capturing complex, non-linear patterns.
Implemented Logistic Regression as a baseline classifier.
Performance Optimization:
Used Grid Search and Cross-Validation for hyperparameter tuning.
Improved model accuracy from 62% to 75%, with higher precision and F1-score.
Evaluation & Visualization: Analyzed model results using confusion matrix, ROC-AUC, and plotted predictions vs actual trends.

visitor@portfolio:~$> npm install --save-dev

+Python

+Java

+JavaScript

+HTML5

+CSS3

+Django

+SQL

+MySQL Server

+Power BI

+Tableau

+Excel

+Micro soft Windows

+Scikit-learn

+Data Preprocessing

+Feature Engineering

+VS Code

+Anaconda

+Git

+Problem-solving

+Debugging

+Collaboration

+Attention to Detail

visitor@portfolio:~$> cat /etc/education

Master of Computer Applications (MCA)

Aurora PG College, Autonomous

Jan 2023 - Jan 2025

visitor@portfolio:~$> cat .contact

saikumarkuraparthi2@gmail.com

+91 9948528293

visitor@portfolio:~$echo "Thanks for visiting!"