Summary
Overview
Work History
Education
Skills
Projects
Timeline
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NAVYASRI MEKA

Denton,TX

Summary

Dedicated Computer Science Master’s student at the University of North Texas, graduating in May 2024. A Data Scientist familiar with gathering, cleaning and organizing data for use by technical and non-technical personnel. Advanced understanding of statistical, algebraic and other analytical techniques. Highly organized, motivated and diligent with significant background in understanding data.

Overview

1
1
year of professional experience

Work History

UNT, Teaching Assistant

01.2023 - Current
  • Teaching Computer Algorithms class for master graduate students, where the topics include
  • Asymptotic notations, Algorithms-Sorts, Greedy, DP and Understanding NP hard problems
  • Grading the exams as well as helping students with course relevant questions.

Data Scientist Intern

Wizard Analytics
05.2023 - 08.2023
  • Worked on data cleaning, implementing Machine Learning models to classify the insurance data
  • Applied NLP based preprocessing, for non-numeric data and experimented with various models - regression, KNN etc
  • For numeric and non-numeric data separately
  • Deployed the model’s using flask
  • Documented the models and their working for patent application.

Emoji Embedding Research Project (Research Assistant)

01.2023 - 07.2023
  • Implemented the bias metrics - Relative norm distance, Word embedding association test (WEAT) and Relative Negative Sentiment Bias (RNSB) for the emoji embedding models–e2v, sw2v
  • Implemented WEAT in two ways - bias between words and emojis and among emojis
  • Predicted the relative negative sentiments for RNSB using the Logistic regression and KNN
  • Predictive Analysis for Grocery Sales (Graduate)

Education

Master of Science - Computer Science

University of North Texas
Denton, Texas

Bachelor of Technology - Electronics and Communication Engineering

Indian Institute of Information Technology

Skills

  • Machine Learning
  • Deep Learning
  • Computer Vision
  • Natural Language Processing
  • Git
  • Programming Languages: C,C, Python, MATLAB, HTML,CSS, JavaScript,SQL
  • Frameworks: TensorFlow, PySpark, PyTest, Hadoop
  • Problem Solving
  • Team Player
  • Communication
  • Leadership

Projects

1.  Human Emotion Detection (Graduate) 

09/2023 - 12/2023

  • Visualized the data using feature maps and Gradient based visualizations like GradCam
  • Experimented with Lenet,ResNet,MobileNetV2,EfficientNet and ViT to detect the human emotions-angry, sad, happy

2. Predictive Analysis for Grocery Sales (Graduate) 

09/2022 - 12/2022

  • Implemented Data Analysis using PySpark to handle size of dataset (Bigdata).
  • Visualized the data using Pandas to plot bar graphs, rectangular plots, heat map to understand the features.
  • Built an efficient model from the pool of RF, KNN, GB for sales prediction.

3. Brain Tumor Detection and Segmentation(Team Lead

01/2021 - 04/2021

  • Implemented Data pre-processing, converted MRI image to grayscale image and chose the contours for the brain, cropped the image and calculated HOG features for SVM.
  • Built models SVM (Linear, Gaussian, Polynomial), CNN and VGG16 and chose efficient models to detect brain tumor based on the training and validation accuracies, Loss, AUC.


Timeline

Data Scientist Intern

Wizard Analytics
05.2023 - 08.2023

UNT, Teaching Assistant

01.2023 - Current

Emoji Embedding Research Project (Research Assistant)

01.2023 - 07.2023

Master of Science - Computer Science

University of North Texas

Bachelor of Technology - Electronics and Communication Engineering

Indian Institute of Information Technology
NAVYASRI MEKA