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)
4. SQL & Data Handling
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