My Profile

― My background

Hi, I am Tirth Raval, a dedicated Data Analyst specializing in eHealth. Armed with a Bachelor's in Computer Engineering and currently pursuing a Master of Science in eHealth,

I am passionate about harnessing data to drive transformative solutions in healthcare. Proficient in data analytics, machine learning, and cloud computing, My expertise lies in unravelling complex datasets to derive actionable insights.

My journey includes spearheading projects at the eHealth Center of Excellence and Portcast Pte. Ltd., where I enhanced EMR functionalities, optimized shipment predictions, and deployed AWS Quicksight & Power BI dashboards. Committed to leveraging technology for the betterment of healthcare - I bring a unique blend of technical prowess and healthcare domain knowledge to the table.

Introduction

Master of Science | eHealth

DeGroote School of Business | McMaster University

Data Analytics using Python
Statistics for eHealth
Analytics and Decision-Making in Healthcare
Project Management
eHealth Entrance Scholarship : 3000$
2022 - 2024 | GPA : 3.9/4.0

Education

Bachelor of Technology | Computer Engineering

School of Technology | Pandit Deendayal Energy University (PDEU)

Data Warehouse and Data Mining
Object Oriented Programming (OOP)
Software Engineering
Big Data Analytics
Internet of Things (IoT)
2018 - 2022 | GPA : 9.71/10.00

Experience

Analyst | eHealth Center of Excellence (eCE)

Kitchener, Ontario (Remote) | May 2023 - Present

Data Analyst | Portcast Pte. Ltd

Singapore, (Remote) | Dec 2021- May 2022

Analyst | Zydus Hospitals

Ahmedabad, Gujarat | Dec 2019- Nov 2021

eCE is a Non-Profit Organization (NPO) that provides digital health services to support improved clinical workflows and enhanced patient outcomes predominantly in Primary Care.
Successfully implemented and upgraded EMR packages for Heart Failure in TELUS PSS and Accuro, contributing to improved functionalities and enhanced user experience for primary care, used by 2000+ clinicians across 5 OH regions and benefiting over 10,000 patients, enhancing efficiency in patient care in TELUS PSS, Oscar and Accuro.
Transformed reporting services from manual Excel-based processes to advanced Power BI Dashboards, Salesforce and Power Apps, reducing reporting time by 80% and ensuring up-to-date analytics leveraging the latest industry tools.
Effectively managed multiple stakeholders, overcoming time-crunch challenges and multiple project management hurdles, ensuring successful project completion and stakeholder satisfaction.
Leveraged expertise in Python, Power BI, Azure DevOps, Axure, Figma, HTML, CSS, JavaScript, Bootstrap, jQuery, Excel, Power Apps, Salesforce, and databases like T-SQL, SSMS, PostgreSQL & MySQL for EMR development and data analytics.

Portcast is a Singapore-based company working on Supply Chain Optimization using Machine Learning and AI.
Developed and maintained 5 internal dashboards and 8 external dashboards on AWS Quicksight to summarize and provide regular updates for client import flows
Generated 6 MS Excel Reports for 3 client processes regularly
Investigated and improved the data quality by encompassing standards in the data pre-processing flows that improved predictions of shipments by 20% eventually reducing client complaints from 400 to 250 per month
Collaborated with the ML engineers, and provided correlated attributes for developing efficient machine learning models for 2 client flows

Managed and administered SSMS databases for a Zydus group of hospitals ensuring data accessibility and interoperability
Analyzed different data sources related to the Indian Public Health datasets with Pandas, SciPy, Numpy, Matplotlib, seaborn, Plotly, and other Python packages
Presented analytical findings by using several Power BI dashboards to the Ministry of Health
Proposed change for existing data flow life cycle products and streamlined usage of improved tools in project lifecycle which led to faster integration of logistics software reducing project deployment time by 40%