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
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:~$> experience --list
Major Project – MCA@Aurora’s PG College
Jan 2023 - Jan 2025
- Stock Price Prediction using Machine Learning
- Tools & Technologies: Python, Scikit-learn, XGBoost, StandardScaler, Logistic Regression, XGBClassifier, Pandas, Matplotlib, Seaborn
- Objective: To design and implement a predictive system for Tesla stock price movement using advanced machine learning techniques.
- Key Contributions:
- Data Preprocessing: Cleaned and prepared historical stock data using techniques such as handling missing values, feature scaling with StandardScaler, and outlier treatment.
- Feature Engineering: Derived technical indicators (e.g., RSI, Bollinger Bands, Moving Averages) and time-based features to enhance model input quality.
- Model Building:
- Developed and tuned XGBClassifier for capturing complex, non-linear patterns.
- Implemented Logistic Regression as a baseline classifier.
- Performance Optimization:
- Used Grid Search and Cross-Validation for hyperparameter tuning.
- Improved model accuracy from 62% to 75%, with higher precision and F1-score.
- Evaluation & Visualization: Analyzed model results using confusion matrix, ROC-AUC, and plotted predictions vs actual trends.
visitor@portfolio:~$> npm install --save-dev
+Programming & Development: Python
+Java
+JavaScript
+HTML5
+CSS3
+Django
+Data & Analytics: SQL
+MySQL Server
+Power BI
+Tableau
+Excel
+Operating System: Micro soft Windows
+Machine Learning: Scikit-learn
+Data Preprocessing
+Feature Engineering
+Other Tools/Frameworks: VS Code
+Anaconda
+Git
+Soft Skills: 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
visitor@portfolio:~$echo "Thanks for visiting!"