I am a motivated Data Scientist and Machine Learning enthusiast with a strong foundation in mathematics, machine learning, and data analysis. I specialize in transforming raw data into meaningful insights and building machine learning models to solve real-world problems. With hands-on experience in Kaggle competitions, personal projects, and continuous learning, I am eager to apply my knowledge to help businesses make data-driven decisions.

Services I Offer
1. Data Analysis & Visualization
Data Cleaning, Preprocessing, and Wrangling

Exploratory Data Analysis (EDA)

Data Visualization using Matplotlib, Seaborn, and Plotly

Statistical Analysis and Hypothesis Testing

2. Machine Learning & Predictive Modeling
Supervised and Unsupervised Learning (Regression, Classification, Clustering)

Model Training, Hyperparameter Tuning, and Evaluation

Feature Engineering and Selection

Cross-Validation and Performance Optimization

3. Deep Learning & AI Research (Basic Level)
Neural Networks using TensorFlow and PyTorch

Basic Natural Language Processing (NLP) and Computer Vision

4. SQL & Data Handling
Writing Efficient SQL Queries

Data Extraction and Manipulation

Why Work With Me?
Passionate and dedicated to solving data-driven problems

Detail-oriented with a strong focus on accuracy and clarity

Fast learner, continuously improving through projects and research

Clear communication, making complex data insights easy to understand

Tech Stack & Tools
Programming: Python, SQL

Machine Learning & Deep Learning: Scikit-Learn, TensorFlow, PyTorch

Data Visualization: Matplotlib, Seaborn, Plotly, Power BI (basic)

Databases: PostgreSQL, MySQL