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Muskaan Chopra

Deep Learning Enthusiast, Machine Learning, Data Science
“If you find something very difficult to achieve yourself, don’t imagine it impossible—for anything possible and proper for another person can be achieved as easily by you.”
— MARCUS AURELIU
About me

Muskaan Chopra

Deep Learning Enthusiast- Currently Working in the domain of Self Supervised Learning

Enthusiastic B.E. (COMPUTER SCIENCE) student eager to contribute to team success through hard work and excellent organizational skills. I pride myself on being detail-oriented, punctual, and driven. I am motivated to learn, grow and excel in the Current field I am in.

In today's world, more and more new data originates each hour. Research Work enables me to explore more about data, operations on the data, and how it can be used for a novel cause, and provides me an opportunity to be creative and think out of the box.

  • ACM: 4915557
  • IEEE 98129752
Positions of Responsibility

Feature Editor

XRDS, ACM

SME, Statistics

Chegg


Experience

Research Analyst Intern (Operations)- CopperpodIP
Jan 2023 - June 2023

• Working on analysing and evaluating data to improve business operations, supply chains, pricing models, and marketing in patent industry

SDE Intern- BlaZop
Dec 2021 - Jan 2022

Built MongoDB Integration Adaptor for CRUD Operations

Data Science Intern- HeyStack
Sept. 2021 – Oct. 2021

•Researched for various emotions that may exist in reviews of a product for classification. •Scripted Scrapers in Python for Data Gathering and further analyzed it.

Machine Learning Intern- Scanta
July 2021 – Dec. 2021

•Worked on Morale detection using emotion and sentiment scores, Pattern detection from a text using regex, Emotion Detection using Models like T5-base fine-tuned for Emotion Recognition. •Worked with Genism, NLPAUG & NLPStanza.

Research Intern- Design and Innovation Centre, Panjab University
April 2021 - April 2022

•Worked on Predictive Maintenance for early prediction of faults in machine by thermal and Time Series analysis using ARIMA Model & LSTM RNN on real time temperature data collected from sensors.

UI Intern- Scanta
Dec. 2020 – Feb. 2021

Assisted in Developing the Front-End with Docker Integration UI for Bot Security

Education

B.E. (Computer Science) - Chandigarh College Of Engineering & Technology, Panjab University
2019 - 2023

CGPA, After Semester 6 : 9.06
1) Chairperson (2021-22) at CCET ACM Student Chapter .
2) College Website Development Head (2021-22), Executive Member Training and Placement Cell (2020-23).
3) Class Representative- Gained public speaking, organisation, problem-solving and negotiation skills by proactively coordinating with a class of 75 students and staff.

Professional skills

  • Languages Python, C++, R
  • Web Technologies HTML, CSS, Bootstrap, Materialize
  • Databases MySQL, MongoDB
  • Developer Tools Git, Docker, Google Cloud Platform, VS Code, PyCharm, Heroku
  • Frameworks Pymongo, Flask, Streamlit

  • Computer Vision Self-Supervised Learning, FastAi
  • NLP NLTK, SpaCy, Gensim, hugging-face, NLPStanza, NLPAug, BERT, GloVe, ProfanityFilter, PDF Operations, RAKE, regex
  • Time Series Analysis Smoothing, Holt-winter Exponential, ARIMA/SARIMA, ARMA, ARIMAX/SARIMAX
  • ML/DL sci-kit learn, PyTorch, Lightly
  • Analytics MS Excel, Google sheets, Power BI, Tableau
Work & Projects


Research

Self-supervised representation learning and Domain Adaptation
Working with EISLAB, Machine Learning, Luleå University of Technology , Sweden on Self-supervised learning & Domain Adaptation. The proposed network mainly focused on building an efficient classification and segmentation architecture for Diabetic Retinopathy Detection, PotHole Detection and Remotely Sensed Satellite Image classification
Assess and Analyze Covid-19 Immunization Process using Co-win :A Data Science Approach to make India self-reliant and safe

CEUR-WS.org, SysCom 2021

Impact And Usability Of Artificial Intelligence In Manufacturing Workflow To Empower Industry 4.0

CEUR-WS.org, SysCom 2021

Influence And Establishment Of Smart Transport In Smart Cities

CEUR-WS.org, SysCom 2021

Predicting Catastrophic Events Using Machine Learning Models For Natural Language Processing

Data Mining Approaches for Big Data and Sentiment Analysis in Social Media

Role Of Social Media In Covid-19 Pandemic: A Literature Review

Data Mining Approaches for Big Data and Sentiment Analysis in Social Media

A Comparative Study Of Generative Adversarial Networks For Text-To-Image Synthesis
Published IJSSCI: Volume 14, Issue 1, Article 14

International Journal of Software Science and Computational Intelligence

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