Resume

Sreeram Venkata


🧠 Profile Summary

Tech-savvy professional working in the Supply Chain domain with a strong foundation in AI and Machine Learning. Experienced in building end-to-end data projects, developing deep learning solutions, and applying automation in real-world use cases. Passionate about solving complex problems through data and AI.


🎓 Education

  • Vellore Institute of Technology (VIT)
    • Bachelor of Technology in Electronics & Communication Engineering
    • 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

💼 Experience

  • Cognizant Technology Solutions
    • Programmer Analyst Trainee • Dec 2023 – Present
    • Trained in MySQL, PL/SQL, and Kinaxis platform
    • Earned Contributor and Author certifications on Kinaxis
    • Working in Supply Chain Planning Tower to solve real-world SCM challenges

💡 Projects

  • Brain Tumor Detection using Deep Learning

    • Python, Flask, CNN, MobileNetV2, VGG16
    • Preprocessed MRI brain images and applied data augmentation
    • Trained CNN models and compared performance on classification task
    • Deployed the most accurate model via a Flask web app
  • Food Demand Forecasting

    • XGBoost, LightGBM, Pandas, EDA
    • Cleaned and processed demand datasets by city and recipe
    • Built regression models to forecast order volumes
    • Evaluated predictions and model accuracy against test data
  • Gesture-Controlled Vehicle

    • OpenCV, Mediapipe
    • Built a vision-based system using webcam input for gesture recognition
    • Used Mediapipe’s pre-trained models to detect hand and head positions
    • Mapped gestures to movement commands: left, right, back, accelerate

🏆 Achievements

  • Publication: A refined ResNet18 architecture for Diabetic Retinopathy classification, Elsevier, Oct 2023
  • Azure Fundamentals Certification
  • Convolutional Neural Networks – DeepLearning.AI
  • Member of IEEE Robotics & Automation Club, VIT

🛠️ Technical Skills

  • Languages:
    • Python
    • C
    • SQL
    • JavaScript
    • HTML/CSS
    • R
  • Technologies:
    • Machine Learning
    • Deep Learning
    • Data Analytics
  • Tools:
    • Git
    • Docker
    • Linux
    • Flask
    • Tableau
    • Hugo
    • Vim
  • Libraries:
    • NumPy
    • Pandas
    • Scikit-learn
    • OpenCV
    • Keras
    • Matplotlib
    • Seaborn

Explore more at venkatasreeram.com.