Deepak Kushwaha
Data Scientist · ML Engineer · Naples, Italy
About Me
Data Scientist with hands-on industry experience building production systems, developing machine learning solutions, and delivering data-driven results across technology and financial sectors. Proven ability to work across the full data lifecycle, from data engineering and model development to deployment and monitoring in cloud environments.
A strong collaborator and team leader, with experience in Agile environments and cross-functional teams. Currently pursuing a Master's in Data Science at the University of Naples Federico II, bringing fresh academic knowledge directly applicable to real-world business challenges.
Recognized for leadership and innovation, having led Team Hindustani to 1st place in the STEM category at Google Challenge Campania 2026, delivering a generative AI solution under competitive conditions.
Projects
Phishing Detection API
Containerized production API with real-time and batch network security predictions.
Live API DocsChurn Modelling (ANN)
Customer churn prediction using Artificial Neural Network with dropout regularization, deployed via Streamlit.
Live DemoMovie Recommendation System
Content-based and collaborative filtering movie recommender built with cosine similarity and deployed as an interactive web app.
Live DemoImage Classification (CNN)
Multi-class image classifier using CNN with data augmentation and transfer learning.
Spark + Kafka Pipeline
Real-time sentiment and fault classification on high-volume data streams.
View on GitHubBank Marketing Prediction
Classification pipeline predicting subscription outcomes using Random Forest + PCA.
View on GitHubRegression + Regularization
Ridge, Lasso, Elastic Net with bias–variance trade-off visualization.
View on GitHubImage Classification Comparison
Image classification pipeline comparing CNN (99.08% accuracy) against baseline Perceptron and ANN models on the MNIST dataset.
Next Word Prediction Engine
LSTM-based deep learning model to predict next words in text sequences using NLTK data, deployed interactively via Streamlit.
Word Embedding Pipeline
Foundational NLP pipeline exploring text vectorization and dense representations using Keras Embedding layers.
Technical Skills
Machine Learning & Deep Learning
Big Data & Streaming
MLOps & Deployment
Languages & Tools
Professional Journey
MSc Data Science
Data Analyst
Research Intern
Intern
BTech Civil Engineering
Awards
Google Challenge Campania 2026 — 1st Place, STEM
Led Team Hindustani (4 members) at University of Naples Federico II. Built a generative AI solution using Gemini + NotebookLM Pro. Awarded by Google.