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My journey so far


2023

DataSeers.ai

Data Scientist

2021-2023

UMass Amherst

Completed Master's of Science - Computer Science; Specialization - Data Science

2022

MathWorks

Software Engineer Intern

2021

UMass Amherst

Started Master's of Science - Computer Science; Specialization - Data Science

2017-2021

University of Pune

Completed Bachelor’s in Computer Engineering

2021

Publication: Mesh Creation Tool for ANUGA

National Conference on Recent Advances in Computer Engineering [RACE-2021] in association with Computer Society of India

2021

Publication: A Review of Mesh Generation in ANUGA

Springer International Conference on Sentimental Analysis and Deep Learning ICSADL 2021

2020 - 2021

Center for Development of Advanced Computing (C-DAC)

Software Engineer and Full Stack Engineer Intern

2020

Securly

Machine Learning Engineer Intern

2017

University of Pune

Started Bachelor’s in Computer Engineering

Projects

Project 3

Pawpularity Contest

Demo Code

Secured first rank in the course with an RMSE value of 17.93 using SWIN Transformer by using raw photographs and metadata to forecast the ”Pawpularity” of pet photos. Trained 56 models using feature engineering, regressors, Ensemble Models and Deep learning approaches(Transfer learning, SWIN transformer, CNNs, ImageNet, ResNet, MobileNet, etc.)

Project 1

Prediction of Pulmonary Fibrosis Progression

Demo Paper Code

Outperformed the Kaggle competition winner by achieving Laplace log-likelihood score of -6.8303. Implemented Deep Neural Network (ResNet) architecture to train the CT Lung Scans and Multiple Quantile Regressor to train the Tabular data. Used NumPy, Sci-kit learn for CT Scan Image Processing along with Pandas for tabular data cleaning. Concatenated both outputs in the end to give Forced Vital Capacity of lungs.

Project 2

Deepfake Detection using Deep Learning (Smart India Hackathon)

Documentation Code

Led the team to nationals and got up to 90% accuracy in classifying Deepfakes by using EfficientNet B7 Convolutional Neural Net. Used NumPy, Sci-kit Learn for Video Frame Processing, Feature Extraction and Pandas for Visualizations. Developed a Mobile Application(Flutter), Web Portal (MERN stack and Microsoft Azure) and APIs to provide an interactive end for the model.

About

Hello there!

I'm Sakshi, a passionate Data Scientist based in Alpharetta, Georgia.

Background

I recently graduated from the University of Massachusetts Amherst with a Masters in Computer Science, specializing in Data Science. My journey began with a Bachelor's in Computer Engineering from the University of Pune.

Throughout my journey, I've had the privilege of interning at companies like Securly, Center for Development of Advanced Computing, India, and MathWorks.

Contributions

My work has been recognized in various academic circles, including being published in journals like Springer International Conference on Sentimental Analysis and Deep Learning ICSADL 2021 and National Conference on Recent Advances in Computer Engineering [RACE-2021] in association with Computer Society of India. I have also given talks at Google Devfest.

I love to talk about space, the universe, the existence of aliens and weird conspiracy theories. Someday, I'd love to get paid in strawberry milk.

Contact

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