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I'm currently pursuing a Master of Computer Science (MCS) at the University of California, Irvine.

Before starting my MCS, I completed my Bachelor of Technology in Computer Engineering at MKSSS's Cummins College of Engineering for Women in India. During my undergraduate studies, I delved into a wide range of coursework, including Database Management, Data Mining & Warehousing, Design & Analysis of Algorithms, Internet of Things, Java Full Stack Technologies, Networks & Information Security, Operating Systems, Software Engineering, and Statistics.

I have maintained a perfect GPA of 4.0 in both my Masters and Bachelors.

Work Experience:

In terms of work experience, I had the opportunity to work as a Technology Analyst at Citicorp Services India Limited India. I contributed to streamlining payment processes, reducing transaction time, and enhancing client satisfaction through the implementation of Junit tests. Moreover, I orchestrated the deployment of high-quality applications using Scrum, Agile Methodology, Java, and Maven.

I also worked as a Summer Analyst Intern at Citicorp Services India Limited, on software development and segregation of the Monolithic Codebase Migration in the TTS Unit. My efforts led to the optimization of Microservices deployment pipeline, resulting in faster release cycles and increased customer satisfaction.

In addition to my experience at Citicorp, I served as a Data Science Intern at Cloud Counselage. During my internship, I developed a classifier to predict a student's eligibility for an internship program. I helped to create helpful visualizations and obtained an Accuracy of 95% and an AUC score of 92%.

Projects:

One project I'm proud of is "Sequence Level Understanding of the 3D Organization of Genome", where I used Markov Models and CNNs to distinguish between highly interacting and non-interacting genome regions. I achieved an accuracy of 99% and an AUC score of 80% using CNNs on real genomic data. I also applied the DeepShap algorithm to find traits that make certain regions more interactive. This interpretability aspect was crucial in gaining a deeper understanding of the biological mechanisms driving genome organization and function. This work has expanded my understanding of many biological ideas and procedures. In addition, I discovered the applicability of deep learning and statistical methods in fields like precision medicine.

I was also one of 100 students chosen from my alma mater to receive the training of the CitiBridge Program. The first phase dealt with finance and banking, as well as hands-on experience with technologies such as SpringBoot, Angular, Java, Software Design, and Micro-services. In the second half, I created a full-stack application in a team of 5. It was a sector-based trading suggestion app for India's Nifty 50 companies.

I worked on "Carify," a web app that predicts car maintenance prices using machine learning and provides a health and maintenance index for car parts based on various factors. "Carify" was recognized as a "Certified Potential Real Venture" by the Wadhwani Foundation after global jury evaluation from 11 countries. The paper CARIFY – Predicting Car Maintenance Costs using Artificial Intelligence has been published in the International Research Journal of Engineering and Technology Volume 9, Issue 9, September 2022.

I also developed "MentorHub," an online web app that facilitates mentorship and guidance for juniors by matching them with seniors at a university.

Technical Skills

Here's a glimpse of the skills I bring to the table:

  • Programming Languages & Databases: C, C++, Python, Java, HTML, CSS, JavaScript, R, SQL, MongoDB
  • Tools: Android Studio, Git, Jenkins, Docker, Colab, OpenShift, AWS, Maven, CI/CD, REST API, Jupyter
  • ML Frameworks: PyTorch, Seaborn, Scikit-learn, NumPy, Pandas, Keras, TensorFlow, NLTK
  • Certifications: GCP Essentials, Google Developer Essentials

Hackathon Experience:

  • Participated in prestigious hackathons like the Smart India Hackathon 2020 and IBM Call for Code 2020.
  • Won the Techgig Geek Goddess American Express AI ML Hackathon in 2021.
  • First prize in the ‘Spotle AI-thon - AI for Good’ Business Plan competition by Spotle in 2020, wherein my team developed a FairFood App that could help to prevent wastage of food and eradicate world hunger.

Volunteer Work:

  • Volunteered with Bhumi Paws Pune NGO, showcasing commitment to social causes.

Extracurricular Activities:

  • Currently serving as a Teaching Assistant for CSE 90: Systems Engineering & Technical Communication at UCI, indicating expertise in technical communication and a passion for teaching.
  • Held leadership position as the Head of Website at the Artificial Intelligence & Computer Vision Society
  • Student Representative at the Society of Women Engineers (SWE) at Cummins College of Engineering for Women where I volunteered in the STEM outreach programs for underrepresented children in society.
  • ET Campus Coding Star 2021 award and ET Campus Star 2022 award by Economic Times, India

Feel free to get in touch with me, and I'm excited to connect and collaborate in the world of technology, machine learning, and beyond.

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📫 How to reach me:

pawaskas@uci.edu LinkedIn Instagram

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Shreya Pawaskar's Projects

algo-scriptml icon algo-scriptml

Scripts of Machine Learning Algorithms from Scratch. Implementations of machine learning models and algorithms using nothing but NumPy with a focus on accessibility. Aims to cover everything from basic to advance.

algo-tree icon algo-tree

Algo-Tree is a collection of Algorithms and data structures which are fundamentals to efficient code and good software design. Creating and designing excellent algorithms is required for being an exemplary programmer. It contains solutions in various languages such as C++, Python and Java.

carify icon carify

Carify - Web-app that shows the health and maintenance Index of various components of car models or car parts based on multiple factors.

coding-questions icon coding-questions

This Repository will house the competitive coding and interview questions. Please consider contributing to it if you think your solution could help the Open Source Community.

cuisine-prediction icon cuisine-prediction

Using data science to automate the process of determining the cuisine of a given recipe

data icon data

Data Sets for Machine Learning Practice

data-structures-and-algorithms icon data-structures-and-algorithms

This repository would be a documentation of my journey towards learning Data structures and algorithms. Please :star: this repo if you liked the effort :smile:

data-structures-and-algorithms-1 icon data-structures-and-algorithms-1

Hacktoberfest's DSA Challenge, create algorithms, programs in any programming language you love and prefer! Check the ISSUE section for ideas.

datascience-mashup icon datascience-mashup

In this repo I will try to gather all of the projects related to data science with clean datasets and high accuracy models to solve real world problems.

deepbind icon deepbind

I have put my modified version of the deepbind code here.

dskakhel icon dskakhel

A repository of learn data structures implementation by learning new ones & by contributing

grokking-machine-learning icon grokking-machine-learning

This repo aims to contain different machine learning use cases along with the descriptions to the model architectures

healthcheck icon healthcheck

Health Check ✔ is a Machine Learning Web Application made using Flask that can predict mainly three diseases i.e. Diabetes, Heart Disease, and Cancer.

hoaxify icon hoaxify

Hoaxify is a Fake News Classifier built using NLP Techniques.

medvice icon medvice

Web Application to offer some advice by taking in the symptoms and telling probablity of a disease

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