Mathumiithaa Vaithialingam
Dallas, Texas,*****; 469-***-****
************.*************@********.***
https://www.linkedin.com/in/mathumiithaa-vaithialingam- EDUCATION
The University of Texas at Dallas, Richardson, Texas, United States January 2024 – December 2025 Master of Science in Business Analytics and Artificial Intelligence GPA – 3.83/4 RELEVANT COURSEWORK: Database Foundations, Advance Statistics for Data Science, Data Visualization, Business Analytics with R, Big Data, Prescriptive Analytics, Organizing for Business Analytics Platforms, Predictive Analytics, Marketing Web Analytics Pondicherry University, Puducherry, India June 2019 Bachelor of Technology in Information Technology, Distinction GPA - 3.5/4 TECHNICAL SKILLS
Programming Languages: Python, R, SQL, MongoDB, Java, Gosu, Spring MVC, JavaScript, AngularJS, HTML, CSS Tools/ Software/ Technologies: Tableau, Power BI, CRM Analytics, Adobe Analytics, Google Looker Studio, Cognos analytics, Jira, Confluence, Trello, MS SQL Server, MS Office Suite, Guidewire, Google Workspace, AWS, Azure, Snowflake, Machine Learning Certifications: Online Internships on Data Analytics and Machine Learning from Pantech solutions, IBM certified Professional Data Analyst
PROFESSIONAL EXPERIENCE
Business Analyst - HCL TECHNOLOGIES, Chennai, India July 2021 – March 2022
• Gathered Requirements from the customer and analyzed the current and historic Insurance data using Microsoft excel, Tableau and SQL to uncover actionable insights.
• Collaborated with customer and business and mapped the data according to business’ requirement which helped the stakeholder to achieve the product with the maximum performance of 95.4% and pioneered to deliver the product on time.
• Created interactive Microsoft Excel and Tableau dashboards for Insurance industry and conducted walkthroughs to the business and team.
• Documentation done using JIRA and confluence tools for better understanding and improved the development process by 30%.
Software Engineer – HCL TECHNOLOGIES, Chennai, India July 2019 – June 2021
• Customized and Developed Guidewire Claim center UI for FNOL in insurance using Angular JS which elevated the customer satisfaction by 95%.
• Collaborated with Guidewire and developed Guidewire Insurance applications using Angular JS and Gosu programming languages and delivered the product within 6 months of duration.
• Analyzed, created and tested the ETL reports for more than 100 Insurance based categories in the Guidewire Claim center reduced the errors by 50%.
• Utilized SQL to analyze and manage insurance data, optimize ETL processes, and generate detailed reports, ensuring seamless integration and accurate data delivery within Guidewire applications. ACADEMIC PROJECT EXPERIENCE
Truck Fleet Analysis; Domain: Big Data Analysis November 2024
• Analyzed geolocation and telematics data using Hadoop, Hive, and SQL, processing 8k+ records to identify high-risk drivers, unsafe truck models, and accident-prone locations.
• Designed Tableau dashboards and predictive models in Python to optimize fleet safety, enhance fuel efficiency, and support decision-making for improved operations.
Analysis on the COVID-19 and its impacts in the United States; Dashboard Analysis using Tableau April 2024
• Employed Python to meticulously clean and organize large datasets, ensuring data accuracy and reliability for robust analysis.
• Analyzed and created a Tableau dashboard to visualize the multifaceted impact of COVID-19 on vaccinations, deaths, and hospitalizations in the United States.
Obesity Predictor Analysis; Domain: Machine Learning using R April 2024
• Led analysis of a 20,000+ individual dataset using machine learning models, achieving 85.79% accuracy in predicting obesity levels and identified key lifestyle predictors through statistical and exploratory data analysis.
• Engineered the most effective predictive model for clinical obesity risk assessment and generated actionable public health insights based on diet, physical activity, and transportation choices. ADDITIONAL INFORMATION
LEADERSHIP EXPERIENCE: General Secretary at VTS-UTD, General Secretary at Big Data Club UTD, Member at Envisions UTD, Placement Coordinator during my UG.