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Dikshika Dweepanita

Computer Science and Engineering Student

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About Me

Hi, I'm Dikshika! I'm always looking for new challenges and opportunities to grow my skills. If you think I'd be a good fit for an opportunity, Lets's connect! Or we can connect just to say hi!

🎓 Third year Student doing Bachelor's of Technology in Computer Science and Engineering from KIIT University(2025).

📚Book nerd with a passion for Machine Learning and data Science. I'm also a Google WE Scholar, a Lift Scholarship recipient, and a Harvard WECode scholar.

I'm looking for a summer internship or an off-cycle internship in a fast-paced, innovative environment where I can use my skills and passion to make a difference. I am especially interested in the work that institutions do in the field of Atificial Intelligence, Machine Learning and Data Science.

Here are some of my strengths:

  • Proficient in Python, machine learning, and data analysis.
  • Strong communication and presentation skills.
  • Passionate about using technology to solve real-world problems

    • Experience

    NoQs Digital

    Data Analyst

  • Analyzed large datasets, identified trends, patterns, and insights using statistical techniques and data visualization tools like Python and Excel. Measured accuracy of identified trends and insights.
  • Improved data quality by identifying and correcting discrepancies and inconsistencies, resulting in reduced data errors and improved reliability. Conducted thorough data validation and implemented data cleaning techniques.
  • Applied data analysis techniques to finance and product management, providing valuable insights and recommenadations. Measured usefulness of insights and recommendations. Adapted analytical methods to meet specific data requirements in each field.

    • Microsoft Learn Student Ambassador KIIT University

    Creative Executive

  • Organized multiple educational events like DataByte, FlutterVerse, Eye S.py Squid, DevOps Workshop, Project Wing and Frontend with Benifits with an audience of over 600 students.
  • Managed a SDG event in collaboration with United People Global which helped more than 200 students with grasping the basics of Machine Learning.
  • Authored and delivered content for social media posts, wrote perceptive and conceptualized articles on medium for official accounts which increased audience by 45 percent.

    • Google TalentSprint WE Program

    Woman Engineer

  • Selected as one of the top 250 candidates out of almost 30,000 applications from all over India.
  • Received 100% Scholarship from Google valued at Rs3,00,000 to participate in the Women Engineers 2022 Fellowship.
  • Learned Coding practices, explored various tools, worked on projects, deep dived into DSA and attended technical and corporate workshops conducted by Google and TalentSprint.

    • Education

    KIIT University

    May 2025

    Bachelor of Technology in Computer Science and Engineering

    CGPA - 8.40

    D.A.V Public School Unit 8

    May 2021

    High School Degree in Science

    Percentage: 94.2

    Projects

    Titanic Survival Prediction Model

    The Titanic survival prediction model using machine learning is a model that uses historical data from the Titanic disaster to predict which passengers were most likely to survive. This model is built using supervised machine learning techniques, where the algorithm is trained on a labeled dataset containing information about the passengers, such as their age, gender, class, and fare.

    View Project

    Blackjack

    A simple version of the card game Blackjack with python using OOP. The objective of the game is to beat the dealer by having a hand value of 21 or as close to 21 as possible, without going over. It takes two players.

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    War (Card game)

    A simple version of the card game War made with Python using Object Oriented Programming. It's a auto play game and takes no players.

    View Project

    Skills

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