Skills

💻 My Skills

📊 Focus: Programming, Data, and ML tools

Python

Data analysis, ML model building, and visualization (Pandas, Matplotlib, Seaborn, Scikit-learn).

SQL

Query writing, data extraction, and relational database management.

Java

Object-Oriented Programming (OOP) concepts, small application development (e.g., Pizza Billing System).

Data Analytics

Dataset cleaning, EDA, and statistical visualization, statistical Analysis, buisness Analysis.

Machine Learning (Beginner)

Supervised Learning: learns to predict outputs using labeled data,
Unsupervised Learning: finds hidden patterns or groups from unlabeled data,
Reinforcement Learning: learns actions through rewards and penalties over time,
Regression: predicts continuous numerical values such as price or temperature,
Classification: assigns data into predefined categories such as spam or not spam,
Clustering: groups similar data points into clusters without labels,
Data Preprocessing: cleans, transforms, and prepares raw data for modeling,
Feature Engineering: creates meaningful features to boost model performance,
Model Evaluation: measures model performance using accuracy, precision, recall, and F1-score,
Overfitting & Underfitting: identifies when a model learns too much noise or too little pattern,
Bias-Variance Tradeoff: balances model simplicity and complexity for optimal performance,
Hyperparameter Tuning: optimizes model parameters to improve accuracy,
Cross Validation: tests model stability by training and validating on multiple data splits,
Time Series Forecasting: predicts future values based on time-based trends and seasonality.

Canva Design Poster, event banner, and presentation creation.

Presentation Making Clear data communication using visuals.

Problem Solving Logical approach in coding & project development.

Documentation Writing reports, lab documents, and analysis summaries.

Tools I Use Regularly:

Python • Jupyter Notebook • Google Colab • MySQL • GitHub • Canva • Arduino IDE • Excel

I’m continuously improving my knowledge in Data Science, Machine Learning, and AI research.

My next goal is to apply ML models on real-world datasets and publish my first AI-focused research project.

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