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Anirudh Gajjala
Knoxville, United States

Hello, I am Anirudh! I am a recent Computer Science graduate from Manipal Institute of Technology, Manipal, India and now presently pursuing my Master's in Computer Science at The University of Tennessee, Knoxville. I am curious and passionate about learning the theory and practical applications of Computer Science principles. I have an open mind for interacting with people from diverse backgrounds. I seek a nurturing environment that provides active mentorship and supports individual and collective growth and perseverance.

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49.4
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Dart
Dart
Developer
United States
Top 100
SQL
SQL
Developer
United States
Top 100
TSQL
TSQL
Developer
United States
Highest experience points: 0 points,

0 activities in the last year

List your work history, including any contracts or internships
Mercedes-Benz Research and Development India
Mar 2022 - Jun 2022 (3 months)
Bengaluru, Karnataka
Student Intern

• Designed and implemented Mock Components using C++ for Computer Vision systems within a Smart Car, improving system testability.

• Worked in an Agile development environment to develop Mock Components for the project.
C++ Computer vision
Add some compelling projects here to demonstrate your experience
Machine Learning-based model for Classification of Cat Breeds
Nov 2022 - Dec 2022
• Implemented Random Forest Classifier algorithm using Python in Jupyter Notebook to classify various cat breeds and evaluate its accuracy.

• Utilized Image Segmentation techniques on the dataset with cv2 (OpenCV), SciPy libraries, and performed data preprocessing using scikit-learn and SMOTE libraries as part of feature engineering.
python3 cv2 scipy numpy pandas scikit learn
Machine Learning-based model for Motion-based Activity Recognition
Oct 2022 - Present
• Utilized Random Forest Classifier to identify various motion-based activities and calculated accuracy through Python programming in Jupyter Notebook.

• Implemented preprocessing and signal conditioning techniques to enhance recorded data samples utilizing NumPy, Pandas, scikit-learn, and SMOTE libraries.

• Implemented Feature Selection methods to boost accuracy over 90% through the use of SciPy and seaborn libraries.
python3 scikit learn scipy numpy pandas matplotlib
Machine Learning-based model using Sound to Detect Activities and Events
Sep 2022 - Oct 2022
Implemented Random Forest Classifier Machine Learning algorithm to recognize different types of sounds and predict the accuracy using the Python programming language in Jupyter Notebook.

Implemented preprocessing and Signal Conditioning methods to clean and optimize the recorded data samples using NumPy, Pandas, scikit-learn, SMOTE libraries and utilized Feature Selection methods to achieve an accuracy above 90% using SciPy and seaborn libraries.
python3 scikit learn librosa numpy pandas matplotlib

This section lets you add any degrees or diplomas you have earned.
University of Tennessee, Knoxville
Master of Science - MS, Computer Science
Aug 2022 - May 2024
Manipal Institute of Technology
Bachelor of Technology - BTech, Computer Science & Engineering
Jul 2018 - Jul 2022
VelocIITy Junior College
Class 11 and 12, Maths, Physics and Chemistry
Jun 2016 - Mar 2018
Delhi Public School, Hyderabad
Class 10
Jan 2004 - Jan 2016
Machine Learning With Big Data
Nov 2021
Graph Analytics for Big Data
Nov 2021
Big Data Integration and Processing
May 2021

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