Data Analyst - Healthcare Analytics & AI Integration

AGHA MOHAMMED HUSSAIN

*******************@*****.*** Toronto, ON M1B 1V8

Summary

Analytical and detail-oriented Data Analyst with 4+ years of experience in healthcare analytics, client reporting, and business administration. Currently advancing in Applied AI Development with skills in machine learning, predictive modeling, and data-driven automation. Recognized for delivering actionable insights, improving operational efficiency, and implementing innovative AI solutions. Experienced in Python, SQL, Tableau, Power BI, and data pipeline automation. Proven ability to bridge data analytics and AI to drive informed decision-making in diverse industries. Core Skills

Programming & Analytics: Python (Pandas, NumPy,

Scikit-learn, Matplotlib, Seaborn), SQL, Excel (Pivot Tables, VLOOKUP, Power Query)

Machine Learning & AI: Classification, Regression, Natural Language Processing, TensorFlow (learning), Generative AI Concepts, Model Deployment Basics

Data Visualization: Tableau, Power BI, Matplotlib, Seaborn

Data Management: Data Cleaning, ETL, Data Validation, Data Quality Assurance

Business & Operations: Project Coordination, Process Optimization, Stakeholder Communication, Client

Relationship Management

Tools & Platforms: Jupyter Notebook, GitHub, Google Workspace, ERP Systems, MS Office Suite

Experience

02/2024 - 08/2024

Sheridan College at

CCTT

Fort Erie, Ontario

Business Administrator

Managed project documentation, financial records, and scheduling for technology and sustainability initiatives.

Assisted in data collection, reporting, and KPI tracking to support grant-funded projects. Improved administrative processes, reducing document retrieval time by 25%. 09/2021 - 08/2023

R1RCM Global LLC

Hyderabad, India

Senior Data Analyst

Conducted data extraction, transformation, and analysis to optimize healthcare revenue cycle management.

Designed interactive dashboards in Tableau and Excel to monitor key metrics and operational trends.

Automated recurring reports using Python and Excel macros, saving 20+ hours/month. Received Best Employee Award for outstanding performance in consecutive years (2022, 2023). 01/2019 - 08/2021

Medico Healthcare

and Technologies

Hyderabad, India

Client Representative Analyst

Maintained and validated client healthcare datasets, ensuring compliance with data accuracy standards.

Analyzed client data to identify inefficiencies and proposed actionable solutions. Acted as primary point of contact for client escalations, maintaining a 95% client satisfaction rate. Education and Training

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Expected in 09/2025

Toronto

Applied A.I. Development

George Brown College

08/2024

Fort Erie, ON

Business Analyst With Information Technologies

Sheridian College At CCTT

Projects

1. AI-Powered Revenue Cycle Optimization – Healthcare Analytics (Python, SQL, Tableau) Situation: U.S. healthcare provider faced delays and revenue loss due to high claim denial rates. Task: Develop a solution to predict and reduce claim denials while improving processing efficiency. Action:

Built a predictive model using Random Forest & Logistic Regression in Python to forecast claim outcomes. Automated ETL pipelines from SQL databases, integrating real-time data updates. Designed an executive Tableau dashboard for monitoring approval rates and denial patterns. Result: Achieved 87% prediction accuracy, reduced manual processing time by 30 hours/month, and increased claim approval rate by 15%.

2. Intelligent Windows Troubleshooting Chatbot – NLP & Automation (Python, NLP, WhatsApp API) Situation: Client's IT helpdesk was overloaded with repetitive Windows support requests, causing slow response times. Task: Build an automated support solution to handle frequent troubleshooting queries. Action:

Created an AI chatbot with Natural Language Processing for query understanding and intent recognition. Integrated with WhatsApp API for seamless accessibility. Programmed 50+ troubleshooting scenarios with automated resolution steps. Result: Automated 80% of initial support requests, cutting helpdesk workload by 40% and improving first-response time from 30 minutes to under 5 minutes.

3. AI-Driven Predictive Inventory & Waste Reduction System – Retail Supply Chain (Python, Machine Learning, Power BI)

Situation: Mid-sized grocery chain experienced 15% food waste loss due to overstocking and poor demand forecasting. Task: Create an AI-based inventory optimization system to minimize waste and optimize stock levels. Action:

Collected and cleaned historical sales, seasonal trends, and weather data. Built a time-series forecasting model (Facebook Prophet + XGBoost) to predict demand for 500+ SKUs. Integrated real-time dashboards in Power BI to alert managers on reorder quantities and expiry risks. Result: Reduced perishable waste by 22%, increased stock turnover rate by 18%, and saved an estimated $150,000 annually in inventory costs.

Certifications

Google Data Analytics Professional Certificate

AI Essentials Certification (Expected 2025)

Tableau Desktop Specialist

Languages

English:

Native/ Bilingual

Hindi:

Native/ Bilingual

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Urdu:

Native/ Bilingual

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