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I'm Gaurab Kundu, a passionate Data Science enthusiast based in Kolkata, India. As a 3rd-year BTech Computer Science Engineering student specializing in Data Science, I possess a solid foundation in Data Analytics, Data Visualization, Machine Learning, Deep Learning, Python, R, Java, Excel, and SQL.

With a dedication to continuous learning, I've completed various online courses and professional certificates from esteemed institutions like IBM, DeepLearning.AI, and others. As a self-taught Python and R programmer, I thrive on exploring opportunities to gain practical experience in Data Science, Machine Learning, and Artificial Intelligence.

I believe in constant upskilling and possess the ability to provide clear insights, making me valuable in different job roles. My true passion lies in tackling complex problems using data-driven approaches.

I'm eager to explore internship and job opportunities where I can apply my skills to real-world challenges, contribute to meaningful projects, and continue my growth in the fascinating world of Data Science.

If you're looking for a proactive, results-oriented individual with a commitment to excellence, I would love to connect with you! Let's explore how I can contribute to your organization's success and foster my personal and professional growth in the process.

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Gaurab Kundu's Projects

deep-learning-drizzle icon deep-learning-drizzle

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

duke-university-inferential-statistics icon duke-university-inferential-statistics

This covers commonly used statistical inference methods for numerical and categorical data. How to set up and perform hypothesis tests, interpret p-values, and report the results of your analysis in a way that is interpretable for clients or the public. Using numerous data examples, you will report estimates of quantities in a way that expresses the uncertainty of the quantity of interest. We will use R programming and RStudio software for lab exercises and a final project.

hacker-rank-30-days-of-code-challenge icon hacker-rank-30-days-of-code-challenge

30 days of code is a challenge by Hackerrank for 30 days. You can solve a problem day by day. You can find a solution for others domain and sub-domain solution, i.e. hacker rank solution for C++ subdomain introduction, strings, classes, STL, inheritance, other concepts, algorithms, miscellaneous.

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