ML/AI Engineer • Data Analytics Engineering
M.S. Student at Northeastern University building machine learning solutions that transform data into actionable insights for policy and business impact.
import pandas as pd
from sklearn.ensemble import RandomForestRegressor
import shap
class EducationPolicyModel:
def engineer_features(self, df):
"""ML-driven policy insights"""
df['human_capital_index'] = (
df['education'] * df['gdp'] /
(df['poverty_rate'] + 1)
)
return df
# Result: +32.8% R² improvementEnd-to-end machine learning pipeline analyzing education policy impact with advanced feature engineering, causal inference, and predictive modeling
Core ML pipeline analyzing Massachusetts education data with predictive modeling and statistical inference to identify high-impact policy interventions.
Advanced feature engineering dashboard with SHAP analysis, demonstrating how domain knowledge and ML techniques improve model performance by 32.8%.
Interactive presentation translating complex ML insights into actionable policy recommendations with ROI estimates and implementation strategies.
I'm passionate about leveraging ML/AI to solve complex problems. Let's discuss how data science can drive impact in your organization.