Transforming data into intelligent decisions.
AI & ML undergraduate with strong hands-on exposure to Deep Learning, CNNs, and NLP. Experienced in end-to-end AI application development from data to deployment.
About / Identity
class AnirudhS:
def __init__(self):
self.role = "AI/ML Undergraduate"
self.stack = ["Deep Learning", "CNNs", "NLP"]
self.location = "Kozhikode, India"
self.email = "anirudhsudheer@gmail.com"
def goal(self):
return "Moving from data → model → deployment"Education
B.E. AI & Machine Learning
Pre-University (Bio Science)
Secondary School
Technical Skills
Languages
Python, C, Java, Dart, PHP
Frameworks & Libraries
Django, Flask, NumPy, Pandas, Matplotlib, Seaborn, scikit-learn, Flutter
Tools & Platforms
Git, VS Code, Jupyter, Anaconda, Excel, Power BI, Tableau, SQL, MongoDB
Soft Skills
Analytical Thinking, Problem Solving, Collaboration, Leadership, User Empathy
Contribution Graph
Background / Experience
Data Analytics Intern / Vodafone Idea Foundation
Worked with LLMs and conversational AI pipelines. Applied analytics on real telecom datasets and explored AI solutions for customer experience optimization.
AI & Data Analytics Intern / Edunet Foundation (Shell India)
Built ML models for garbage classification with a focus on environmental sustainability. Handled data preprocessing, training, and evaluation.
AI Intern / Codec Technologies
Conducted ML/DL experimentation for applied use cases and improved research workflows.
Selected Projects
PashuSwasthya
Offline, multilingual mobile app for cattle breed & disease detection using TensorFlow Lite.
View Code
CNN Visualizer
Web tool to visualize CNN filters, feature maps, and activations for deep learning interpretability.
Customer Churn Prediction
ML-based churn prediction using historical data with feature engineering improvements.
Stock Price Predictor
Forecasting models using LSTMs with strong emphasis on prediction accuracy.
Image Enhancement Toolkit
ML/DL-based enhancement models with a Streamlit dashboard for interaction.
Intrusion Detection System
Network intrusion detection using ML with Flask-based real-time monitoring UI.
Certifications & Achievements
Certifications
- • Google Cloud – Introduction to Generative AI
- • Neo4j Certified Professional
- • IBM – ML with Python, Deep Learning with TensorFlow
- • Infosys Springboard – ML Foundation, GenAI Principles
- • Zscaler – Fundamentals of Cybersecurity
Achievements
- • Contributor: GSSoC ’25, Hacktoberfest 2025
- • Active participant in national hackathons & IEEE events
- • GDSC Event Participant