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Shamika Likhite

Machine Learning and Data Science Enthusiast

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About Me

Hi, I’m Shamika. I am a graduate student at Northwestern University majoring in Computer Engineering, specializing in Artificial Intelligence.



Worked as a Software Development Intern at Ugam Solutions, A Merkle Company, during my undergraduate years at the National Institute of Technology (Nagpur). While working as an intern at Ugam, I gained invaluable insights into ‘behind-the-scenes’ of data analysts, software development and building an API for image enhancement. Academic and professional work experience projects in the areas of Machine Learning and Data Analysis models for use cases are helping me to augment exposures in the scale of Artificial Intelligence.





From writing my first program for image enhancement to training my first Generative Adversarial Network, my goal has always been to strengthen my skills and learnings into powerful algorithms that will help me to effectively pursue my career objectives.

I am currently working as a ‘Machine Learning Engineer’ at Speechace.

Apart from living in a world of 1s and 0s, I also play tennis and spend entire nights with jigsaw puzzles.

Experience

Ugam Solutions Sez Pvt Ltd ( Merkle Inc)

Data Analyst Intern

  • Programmed on Ugam’s Cognitive Computing platform to improve image classification, segmentation, annotation, and object detection by developing a pre-processing step to enhance image quality through image processing.
  • Formulated a data processing pipeline using unsupervised learning to improve the image quality and increase the accuracy of image models using deep learning and Computer Vision (OpenCV).
  • Built super-resolution models by training on Generative Adversarial Networks (GAN) using PyTorch to improve the quality of the processed images by 98%.
  • Developed a user interface for super-resolution using Software Engineering on Flask and Rest APIs on HTTPS protocol to save and display a high-resolution image and a low-quality image to differentiate the quality of images.
    • Skillsets: Deep Learning, OpenCV, Generative Adversarial Networks(GAN), PyTorch, RestAPI, Flask, HTML, CSS

Feinberg School of Medicine

Research Assistant - Machine Learning

  • Developing a model to identify the level of Prostate Cancer from whole slide images.
  • Working on predicting the survival rate of brain tumor patient after 2 years of treatments using Multiple Instance Learning from Whole slide images
    • Skillsets: Machine Learning, Image Processing, Predictive Analytics, Image Segmentation, Python, Tensorflow

Sonic Labs

Data Science Intern

  • Conducted in-depth analysis of organization interaction data to examine the influence of targeted AI interactions on successful team formation, employing machine learning algorithms.
  • Employed advanced statistical modeling techniques (ERGM, SAOM, REM) in R to explore diverse motivations for cross-boundary collaboration, providing valuable insights into team dynamics and fostering effective cooperation.
    • Skillsets: Machine Learning, R, Statistics, Probability, R

Ideas Lab

Machine Learning Research Engineer

  • Developing a multimodal speech disfluency dataset, encompassing video and text data, to facilitate audio disfluency analysis.
  • Crafting informative labels for audio, video, and text data, enabling seamless multimodal analysis of speech disfluency.
  • Pioneering multimodal speech disfluency analysis model using self-supervised learning techniques.
    • Skillsets: Deep Learning, OpenCV, Audio Processing, Video Processing, Natural Language Processing, Python, Data Pipeline, PyTorch, TensorFlow

Speechace

Machine Learning Engineer

  • Developing language assessment models

Education

Northwestern University

Sept 2022 - Dec 2023

Master of Science in Computer Engineering

Visvesvaraya National Institute of Technology, Nagpur, India

July 2018 - May 2022

Bachelor of Technology in Electrical and Electronics Engineering

Projects

Artist Style Learning System - Style Transfer using GAN

  • Built a deep learning Generative AI model to generate images of paintings using DCGAN with PyTorch.
  • Enhanced the quality of generated images by devising a data-driven model using Cycle GAN and altering the style of images to that of Monet paintings, Van Gogh Paintings, and Abstract art.
  • Upgraded accuracy of the model to 98% and applied federated learning to the model to improve resolution.
View Project

Golden Globe Awards Tweets Mining - Text Data Analysis

  • Used Twitter development to implement data mining and web-scraping on tweets for business operations.
  • Ensured accurate mapping of messy data using analytics with NLTK, Beautiful Soup, and Spacy and developed techniques to analyze data of winners, nominees, presenters, and hosts for Golden Globe Awards.
  • Performed sentiment analysis from prescribed datasets with the help of tweets with a model accuracy of 95%.
View Project

Interactive Cookbook - Chatbot System Design

  • Designed Conversational AI & speech assistant for parsing recipes and guiding users for cooking with Natural Language Processing(NLP) by automating the process through data segmentation.
  • Built a chat to follow the user’s directives and transform the cuisine style & scripting using BERT, GPT, NLTK, and Spacy.
  • Developed a QA platform for customer service with a decision-making chatbot for cooking by interactive GUI.
View Project

Plant Disease Categorization

  • Devised a baseline CNN predictive models to perform image classification to identify plant diseases through supervised learning.
  • Implemented transfer learning techniques on VGG19 and EfficientNet architectures with neural networks and TensorFlow to obtain model’s validation accuracy of 85%.
  • Built and trained a novel model with GAN and Fastai improving model’s accuracy to 97% and generated
View Project

Skills

  • JavaScript
  • Python
  • R
  • Android Studio
  • Node.js
  • Pytorch
  • React
  • Tensorflow
  • Java
  • C
  • C#
  • C++
  • NLTK
  • Tableau
  • Power Bi
  • Spacy
  • PostgreSQL
  • Azure
  • HTML
  • CSS
  • Flask

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Copyright © 2023 Shamika Likhite