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Hi there 👋, I am Ritik! 😁

Hare Krishna, my name is Ritik Dagar and I have completed my Bachelor's degree at SRMIST majoring in Computer Science and Engineering. I am working as a Graduate Analyst at Barclays My technology stack involves Tableau, SQL, ETL SSIS, Data Science(ML Algorithms, AI and Deep Learning). I love Competitive Programming and developing interactive Dashboars. Besides programming, I have an immense interest in Spirituality.

  • 🔭 I’m currently researching "Sanskrit as an upcoming coding language"
  • 💬 Brainstorm with me over tech, algorithms, career, and Spirit/Soul Happiness
  • 📫 How to reach me: [email protected]
  • 📝 Resume

Languages and Tools:

Cpp   ML   AI   DL   ReactJS   JavaScript   Python   C   Android   HTML5   CSS3   jQuery   Bootstrap   MySQL   MongoDB   Git   GitHub   LATEX  

Ritik's Github Stats Top Langs

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RITIK DAGAR's Projects

-c-mini-projects icon -c-mini-projects

I’ve enlisted all the mini-projects, projects, games, software and applications built using C by me in my college learning days

-fantasy-cricket-application icon -fantasy-cricket-application

Fantasy cricket Game , a interactive Desktop Application build using QtDesigner for GUI and Sqlite_db for backend.Fantasy cricket is a part of the Fantasy Sports genre. It is an online game where you create a virtual team of real cricket players and score points depending on how your chosen players perform in real life matches.

algorithms icon algorithms

A repository of different Algorithms and Data Structures implemented in many programming languages.

ann icon ann

# Hare Krishna # Creating ANN using weight Initialization # Basic Implementation of ANN

applied-data-science-with-python-specialization icon applied-data-science-with-python-specialization

The 5 courses in this University of Michigan specialization introduce learners to data science through the python programming language. This skills-based specialization is intended for learners who have a basic python or programming background, and want to apply statistical, machine learning, information visualization, text analysis, and social network analysis techniques through popular python toolkits such as pandas, matplotlib, scikit-learn, nltk, and networkx to gain insight into their data. Introduction to Data Science in Python (course 1), Applied Plotting, Charting & Data Representation in Python (course 2), and Applied Machine Learning in Python (course 3) should be taken in order and prior to any other course in the specialization. After completing those, courses 4 and 5 can be taken in any order.

competitive-programming icon competitive-programming

Hello Programmers :computer: , A one-stop Destination for all your Competitive Programming Resources. Refer CONTRIBUTING.md for contributions

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