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Role Overview

We are looking for a highly skilled Freelance Data Engineer / Machine Learning Engineer to build an end-to-end data pipeline and predictive analytics system focused on life expectancy modeling using public health and socio-economic data.

The ideal candidate should have robust experience in data engineering, big data processing, and machine learning, with the ability to work on real-world datasets and derive actionable insights.

Key Responsibilities

Data Engineering
Build scalable data pipelines using Python, SQL, and Apache Spark
Ingest data from APIs and public datasets (Census, healthcare, etc.)
Design multi-layer architecture:
Bronze (raw data)
Silver (cleaned data)
Gold (aggregated/feature-ready data)
Perform data transformation, joins, and aggregation at regional/community level

Feature Engineering
Develop key health indicators such as:
Mortality rates
Poverty & unemployment rates
Healthcare provider density
Food accessibility metrics
Build composite indices like:
Economic Hardship Index
Health Access Index

Machine Learning
Develop predictive models using scikit-learn (Random Forest, Regression)
Evaluate models using:
R² Score
RMSE




Perform feature importance analysis to identify key drivers of life expectancy

Simulation & Insights
Build an interactive Life Expectancy Simulator
Enable scenario-based analysis (e.g., impact of poverty reduction, healthcare improvements)
Provide recommendations for policy and intervention strategies

Visualization & Reporting
Create dashboards using Power BI and Streamlit
Develop geospatial visualizations using Folium
Highlight disparities across communities and generate insights reports

Required Skills & Experience
Solid experience in:
Python, SQL
Data Engineering & ETL pipelines
Big Data tools (Spark, Databricks)
Hands-on experience with:
Machine Learning (scikit-learn)
Feature engineering & model evaluation
Experience working with:
Public datasets / APIs
Data modeling & transformations
Valuable understanding of:
Data pipelines (Bronze/Silver/Gold architecture)
Statistical analysis and predictive modeling

Nice to Have
Experience in public health / healthcare analytics
Knowledge of geospatial data analysis
Experience building interactive dashboards or simulators
Exposure to cloud platforms (AWS / Azure / GCP)

Apply on Kit Job: kitjob.in/job/46nmdg

📌 Freelance Data Engineer / Ml Engineer Public Health Analytics Nellore (India)
🏢 ThreatXIntel
📍 India