Aarushi Jain

AI & ML Enthusiast

Profile

Passionate about the latest developments in Artificial Intelligence and Machine Learning. Proficient in Python and Java programming languages. Excited to research and implement machine-learning solutions on various types of projects.

Education

(Hons.) CSE (Spl. AI & ML) (Pursuing) (2024)
College of Engineering Studies, UPES Dehradun
CGPA: 9.20

Class XII (2020)
CBSE, Delhi Public School, Noida
Percentage: 93.6%

Class X (2018)
CBSE, Delhi Public School, Noida
Percentage: 92.8%

Contact

   9899400163

   aarushi.jain211@gmail.com

   Noida, Uttar Pradesh, India

   linkedin.com/in/aarushi-jain-01413a207/

   https://github.com/aarushi211

   https://www.kaggle.com/aarushi211

My Skills

  • Python
  • Java
  • MySQL
  • Flask Micro-Framework
  • HTML / CSS
  • Verbal and Written Communication
  • Leadership,
  • Teamwork
  • Time Management



Achievements

  • Member of Board of Executives (BOE) in UPES ACM and ACM-W Student Chapter (2023)
  • Reached top 8 teams in Code Wars 23, a National Hackathon organized by IBM (2023)
  • Editorial Head of UPES ACM-W Student Chapter (2022)
  • Certificate of Merit in Hackathon 6.0 organized by UPES CSI (2022)
  • Excellence Award and place in Dean's List of SOCS (2021)
  • MTA Badge in Introduction to Programming Using Python (2021)
  • Scholar for 5 consecutive year (2013-2018)
  • Third Position in Gautam Budh District Swimming competition (2014)

    • Interests / Hobbies

  • Machine Learning
  • Natural Language Processing
  • Data Analytics
  • Reading Books
  • Sketching
  • Swimming

    • Projects

    Text Summarization using Learning Techniques
    • Algorithms: BART, Pegasus, TextRank, ROUGE, Readability Score
    • Description: Created a model to summarize Terms of Service for better readability.
    • GitHub Repository: https://github.com/aarushi211/TOS-Summarization
     Earthquake Forecasting using Machine Learning
    • Technologies: Flask, Jupyter Notebook, Heroku, GitHub, Machine Learning, Scikit-learn, Matplotlib
    • Description: Created a website that could forecast the magnitude of a possible Earthquake in the given location. Along with this the website also contain a Visualization to show the earthquakes that took place all over the world in the past week.
    • GitHub Repository: https://github.com/aarushi211/Earthquake-Forecasting
     Phishing Detection using Deep Learning
    • Technologies: Flask, Jupyter Notebook, GitHub, Deep Learning, Scikit-learn, Matplotlib, Tensorflow
    • Description: Created a website which can detect whether a given URL is authentic or not. It analyzes the number of dashes, dots, number of sensitive words, host name length, etc.
    • GitHub Repository: https://github.com/aarushi211/Phishing-Detection

    Research Work

    A Bibliometric Analysis to Detect the Research Status in Flying Ad-hoc Networks
    • DOI: 10.1109/ICRITO56286.2022.9965013
    • Description: Presented paper in 2022 10th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO), IEEE, 2022

    Internships

    High Energy Accelerator Research Organization, Tsukuba, Japan
    • Description: Working on the prestigious KEK Belle II experiment grid computing tools development. Belle II is an international experiment in the domain of particle physics, working in collaboration with laboratories worldwide, like KEK, BNL, CERN, and many more. Using tools like gbasf2, Python, Jira, etc. to assist physicists to run their program on distributed belle grid.

    PricewaterhouseCoopers (PwC)
    • Description: Acquired a solid understanding of IT fundamentals, RDBMS, and programming fundamentals of Python. Additionally, gained insights into the basics of Data Engineering. The program's micro -certification tests ensured proficiency in each module.

    National Technical Research Organization (Government of India)
  • Language Detection:
    • Technology: Python, Jupyter Notebook, Supervised Learning, Natural Language Processing
    • Description: Created a model to detect 40+ languages including Japanese, Chinese, Arabic, Persian, etc.
  • Topic Modelling:
    • Technology: Python, Jupyter Notebook, Unsupervised Learning, Anchored CorEx Topic Modelling, BERT
    • Description: Created a model to classify the given documents under various topics such that we could easily understand the kind of content the document contains without having to read it.