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Karan-Viswakarma/README.md

नमस्ते (Namaste) 🙏, I'm Karan 👋

Aspiring Data Scientist from India

karan-viswakarma

🚀 About Me

Currently pursuing an MS in AI and ML, I leverage my background in Mechanical Engineering. Following my Bachelor's degree, I committed myself to preparing for competitive exams while concurrently tutoring students from standard 8 to 12. This experience fostered a solid foundation in systematic and analytical thinking, data-driven decision-making, and problem-solving skills. My experience as a private tutor honed my communication and presentation skills, enabling me to effectively adapt to diverse audiences.

I have expertise in data analysis, manipulation, and transformation using SQL and Python, with a strong command of widely-used libraries such as NumPy, Pandas, Matplotlib, Seaborn, and SciPy. I am also familiar with creating interactive and visually appealing dashboards using tools like Tableau and Excel. Demonstrating my problem-solving abilities, I have successfully solved over 200 questions on platforms like HackerRank, LeetCode, and DataLemur, earning gold-level badges for Python and SQL on HackerRank. I am continuously expanding my knowledge and keeping up-to-date with essential tools, libraries, and algorithms that are crucial for a Full Stack Data Analyst role.

🔗 Connect with me:


karan viswakarma karan viswakarma karan viswakarma

🛠️ Languages and Tools:


python numpy pandas

mysql mssql postgresql

seaborn matplotlib Microsoft Excel

scipy scikit-learn Tableau

Github Streak Stats


karan-viswakarma

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  1. BCS5-Yulu BCS5-Yulu Public

    To perform hypothesis testing to find out the variables that are significant in predicting the demand for shared electric cycles in the Indian market

    Jupyter Notebook 1

  2. BCS4-Walmart BCS4-Walmart Public

    Analysing customer purchasing behaviour against the customer's gender and various other factors to help the business make better decisions.

    Jupyter Notebook 3

  3. BCS1-Target BCS1-Target Public

    Analysis of data of one of the America's leading retailers, Target and to generate insights from it.

    1

  4. BCS3-Aerofit BCS3-Aerofit Public

    Analysis of the Aerofit dataset using the concepts of Descriptive Statistics and Probability

    Jupyter Notebook 1 1

  5. BCS6-Delhivery BCS6-Delhivery Public

    To understand and process the data coming out of data engineering pipelines: Clean, sanitize and manipulate data to get useful features out of raw fields

    Jupyter Notebook 1 2