Daivik Pelathur

Hello, I'm Daivik Pelathur, a passionate data analyst and machine learning enthusiast based in Toronto. With a solid foundation in computer science and a specialization in big data, I thrive on transforming raw data into actionable insights. My journey in the tech world began with a fascination for how data can drive decision-making, and over the years, I have honed my skills in data analytics, machine learning, and software development.

What I Do

Exploratory Data Analysis

I enjoy diving into large datasets, extracting meaningful patterns, and using libraries like Pandas and NumPy for data manipulation, along with Matplotlib, Seaborn, and Plotly for visual analysis. My EDA process includes data cleaning, feature selection, correlation analysis, and hypothesis testing to ensure data is well-prepared for advanced modeling and insights.

Python Programming

Python is my go-to language for data analysis and machine learning. I hold a PCEP certification, demonstrating my expertise in Python. I utilize Pandas for data manipulation, Scikit-learn for building and evaluating machine learning models, and libraries like Matplotlib, Seaborn, and Plotly for impactful visualizations. I also enjoy coding challenging problems on LeetCode.

BI and Visualization Tools

I specialize in leveraging Power Query for efficient data transformation and seamless integration of diverse data sources. My expertise in DAX enables me to create calculated columns and measures that highlight critical business metrics. This empowers a deeper understanding of data trends and supports advanced analytics.

Machine Learning

I build and deploy machine learning models to solve real-world problems. With experience in supervised algorithms like regression and decision trees, and unsupervised techniques like clustering and PCA, I’ve worked on projects including time series forecasting, NLP, and sentiment analysis. I use Scikit-learn for model optimization, TensorFlow for deep learning, and Matplotlib for visualization.

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Clients