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Hello, I am Krish Doshi šŸ‘‹

Thanks for stopping by. Here's a little bit about myself...

šŸ‘€ Iā€™m interested in Big Data, Data Analysis, and Data Engineering.

šŸŒ± Iā€™m currently learning Apache Airflow.

šŸ’žļø Iā€™m looking to collaborate on exciting data-related projects.

What I Do

šŸ› ļø I work on Data Engineering Projects, specializing in building robust data pipelines, ETL processes, and data warehousing solutions.

šŸ“Š I'm passionate about Data Analysis, where I explore datasets, uncover insights, and make data-driven decisions.

šŸŒ I'm keen on diving deep into Big Data, dealing with massive datasets, and harnessing the power of distributed computing frameworks.

šŸŒŖļø I'm exploring Apache Airflow for orchestrating and automating complex data workflows.

šŸ“ˆ I'm also delving into DBT (Data Build Tool) for transforming data in the analytics stack, enabling seamless data modeling and analytics.

My Expertise

šŸ“ˆ Data Engineering: I design, develop, and optimize data pipelines, ensuring data is accessible, reliable, and scalable.

šŸ“Š Data Analysis: I perform exploratory data analysis, generate visualizations, and derive meaningful insights from data.

šŸ“” Big Data: I'm exploring technologies like Hadoop, Spark, and distributed databases to tackle large-scale data challenges.

āš™ļø Apache Airflow: I'm learning to use Apache Airflow for orchestrating complex data workflows, automating tasks, and scheduling jobs.

šŸ”„ DBT (Data Build Tool): I'm honing my skills in DBT to build and manage data transformations for analytics.

Let's Connect

šŸ“« You can reach me through [email protected].

šŸ’¼ Connect with me on LinkedIn.

Portfolio

šŸ“‚ Check out my portfolio on Projects.

Skills and Tools

šŸ› ļø Data Analysis and Visualization: Power BI, SQL, Python, MongoDB, Tableau, SAP, R

šŸ”„ ETL (Extract, Transform, Load) Processes

šŸ’” Problem-Solving Skills

šŸ’¬ Effective Communication

šŸ“š Self-taught and Adaptive Learner

šŸ“– Research Efficiency

šŸ—ƒļø Databases

Krish Doshi's Projects

booksanalysis icon booksanalysis

BookAnalysis: A Python project that leverages web scraping, data cleaning, and machine learning techniques to gain insights from diverse book-related data. This project also includes seamless integration with Microsoft SQL Server for in-depth data analysis, followed by connection to Power BI for impactful data visualization.

covid_dataanalysis icon covid_dataanalysis

šŸ” COVID-19 Data Analysis: Python-Powered Cleaning & Tableau-Presented Insights šŸ“Š

loan-default-prediction_model icon loan-default-prediction_model

Loan Default Prediction Model: A machine learning project that leverages historical lending data to create predictive models for assessing loan default risk, aiding financial institutions in making informed lending decisions.

real-time-data-streaming icon real-time-data-streaming

An end-to-end data engineering pipeline that orchestrates data ingestion, processing, and storage using Apache Airflow, Python, Apache Kafka, Apache Zookeeper, Apache Spark, and Cassandra. All components are containerized with Docker for easy deployment and scalability.

youtubestats_analysis icon youtubestats_analysis

Explore YouTubeStats_Analysis, a dynamic GitHub repository showcasing data prowess. Excel and Python clean raw data, SQL's RMF segments channels, while Tableau crafts immersive visuals. Uncover YouTube insights through an end-to-end journey of data analysis, perfect for honing analytical skills

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