I'm an aspiring AI/ML Engineer focused on Generative AI, Predictive Modeling, NLP and Data Science. Bridging the gap between raw data and agentic solutions.
class Engineer:
def __init__(self):
self.name = "Junaid Alam"
self.stack = ["GenAI", "ML", "Data Science", "NLP"]
self.is_ready = True
def execute_vision(self):
return "System Initialized"
>>> junaid.execute_vision()
A selection of my most impactful data-driven deployments.
Customer churn prediction using Random Forest, feature engineering, hyperparameter tuning, and class imbalance handling with SMOTE.
Projects Completed
Top Accuracy
86%
Personal expense tracker with a Serverless Google Sheets backend and interactive Plotly analytics.
Exploratory Data Analysis on Netflix data to uncover trends, user behaviour, and viewing patterns using Pandas and visualization.
The tools I use to build and deploy intelligent systems.
Numpy, Pandas, Sklearn
Supervised, Unsupervised, Model Training & Evaluation,
Matplotlib, plotly, Seaborn
NLTK, Tokenization, TF-IDF Vectorization
Verified credentials. Click any certificate to view official documentation.