Sreeram Venkata

Education

• Vellore Institute of Technology

  • Bachelor of Technology in Electronics & Communications
  • CGPA: 8.56
  • July 2019 - May 2023

• Narayana IIT JEE Academy

  • Class 12
  • CGPA: 9.94
  • Jun 2017 – May 2019

• Sri Sarasvathi Sisumandir

  • Class 10
  • CGPA: 9.8
  • May 2017

Projects

Brain Tumor Detection using Deep Learning

End-to-end deep learning, flask

• Imported MRI images of brain dataset from kaggle and performed data visualization, data augmentation and preprocessing
• Used various deep learning architectures such as CNN, MobileNet-v2 and VGG-16 on preprocessed dataset
• Compared these architectures to find out which algorithm can efficiently and accurately predict brain tumour and deployed project using flask

Food demand forecasting using machine learning

exploratory data analysis, ML

• Performed data Preprocessing on train and test data
• Used XGBoost and LightGBM algorithms to predict the number of orders for each city and each recipe
• Compared these two algorithm results with the real values to find out which algorithm can efficiently and accurately forecast the number of orders

Gesture controlled vehicle using openCV

openCV, Mediapipe

• Used openCV library to detect both hand and head gestures via webcam
• Used pre-trained models in Mediapipe framework for performing hand and face gesture tracking
• When system’s camera detects gesture, it’ll process the image and verifies with predetermined positions for left, right, back and acceleration. Accordingly the system will display the output

Experience

programmer analyst trainee (Dec 2023 – Present)

cognizant technology solutions

• Trained on mysql, PLSQL
• Earned contributor, author certifications on kinaxis platform
• Working as a trainee in Supply chain Management domain in planning tower

Achievements

• Publication: “A refined ResNet18 architecture with Swish activation function for Diabetic Retinopathy classification ”, Biomedical Signal Processing and Control — Journal — Elsevier —Volume 88 — Part A · Oct 26, 2023
• Azure fundamentals certification
• Convolutional Neural Networks authorized by DeepLearning.AI
• IEEE robotics and automation club member in VIT

Technical Skills

• Languages : Python, C, SQL, JavaScript, HTML/CSS, R

• Technologies: Data analytics, Machine learning, Deep learning

• Developer Tools: Git, Docker, Vim, Linux, Flask, Hugo, Tableau

• Libraries: Numpy, Pandas, Matplotlib, Seaborn, Scikit-learn, OpenCv, Keras