About
With over 5 years of experience as a Data Analyst and a Master’s degree in Computer Science from Old Dominion University, I specialize in transforming complex data into actionable insights that support strategic business decisions. I have extensive experience working with large datasets, performing data cleaning, analysis, and reporting to identify trends and improve performance. I have built interactive dashboards and reports using Tableau and Power BI, enabling stakeholders to track key metrics and drive operational efficiency. Skilled in SQL, Python, and ETL automation, I streamline analytics workflows, enhance data accuracy, and deliver meaningful insights aligned with business goals. I am currently seeking full-time opportunities as a Data Analyst or Business Intelligence Analyst to contribute to impactful, data-driven initiatives.
Data Analyst & a Software Engineer.
A data-driven professional and passionate problem solver, proficient in analytics tools and technologies including SQL, Python, Tableau, Power BI, Excel, and MySQL. My current focus lies in data analysis, business intelligence, and building impactful dashboards and reporting solutions that drive strategic decision-making and operational efficiency.
- Phone: +1 757 895-2108
- City: Virginia, USA
- Degree: Master of Science
- Email: rameshaishwarya10@gmail.com
Skills
Proficient in programming languages such as Python and SQL, with hands-on experience in data analysis, reporting, and building automated workflows. Skilled in using tools like Git, JIRA and developing interactive dashboards with Tableau and Power BI to support data-driven decision-making.
Experience
Sumary
Aishwarya Ramesh
Computer Science graduate from Old Dominion University, with over 3 years of hands-on experience in Data Analysis and Software Development.
- Norfolk, VA
- +1 (757) 895-2108
- rameshaishwarya10@gmail.com
Education
Master of Science, Computer Science
(GPA: 3.65 / 4.00)
2022 - 2024
Old Dominion University, Norfolk, VA
Relevant Coursework: Python Application Programming Internet of Things Big Data Analytics Software Development Life Cycle (SDLC) C (Programming Language) C++ Database Management System (DBMS) Java SQL HTML Data Structures Software Testing Data Communications Operating Systems Web Technology Machine Learning Software Architecture Computer Networks .Net framework for application development.
Bachelor of Engineering, Information Science and Engineering
(GPA: 6.65 / 10.00)
2016 - 2020
Visveswaraya Technological University, Bangalore, India
Relevant Coursework: Algorithms and Data Structures Computer Architecture Data Visualization Database Concepts Malware Anal and Reverse Engineering Natural Language Processing Web Programming Human Computer Interactions Introduction to Networks Foundations of Computing.
Professional Experience
Data Analyst
2024 - Present
Cognizant Technology Solutions, Norfolk, VA
- Developed interactive BI solutions in Tableau—drill-down dashboards, KPI scorecards, trend views, and agent/region performance reports—used regularly by business, operations, and retention leadership.
- Designed scalable data models and LOD expressions in Tableau and optimized Big Query/SQL extracts, ensuring high-performance dashboards with low refresh latency on multi-million-row telecom datasets.
- Developed interactive Tableau dashboards analyzing customer interactions across agent calls, IVR flows, and chat channels, classifying contact reasons and improving visibility into key service drivers.
- Led end-to-end analytics on churn, retention, call reduction, and ARPU erosion using advanced SQL/Python and statistical techniques (e.g., logistic regression, matched-pair analysis) to quantify business impact and guide leadership decisions.
Engineer I
2020 - 2022
Infosys, Bangalore, India
- Performed data preprocessing, validation, and query optimization on large datasets, developing Tableau dashboards that improved visibility into service performance and operational health metrics by 15%.
- Built and maintained scalable ETL/ELT pipelines to ingest, clean, and normalize data from multiple enterprise sources, enabling consistent reporting and analytics across customer experience and operational systems.
- Built a customer feedback and service experience sentiment analysis model to assess subscriber satisfaction and identify actionable insights, supporting improved customer engagement and retention for a large-scale telecom/network provider.
Software Developer - Research Assistant
2023 - 2024
Applied Research Lab - Old Dominion University, Norfolk, VA
- Utilised Atlan to organize and manage datasets for sentiment analysis and dashboard development, streamlining metadata management and improving collaboration.
- Developed and maintained complex SQL queries to generate reports and insights for business intelligence, leading to a 15% improvement in decision-making accuracy.
- Designed data pipelines and dashboards using Python and Tableau, reducing report generation time by 20%. Conducted sentiment analysis on customer reviews of breweries using text summarization techniques, achieving 90% accuracy in sentiment classification.
Projects
Full Stack
University Portal System
The University Portal web application merges React.js for dynamic front-end, Node.js and Express.js for robust back-end APIs, and MySQL for reliable database management. Seamlessly connecting students and faculty, it streamlines processes, enhances collaboration, and empowers productivity.
View Project
Vsorts
A cloud-based web application that employs easy-to-use user interfaces, AI-enhanced qualitative analysis tools, and data visualization to illuminate social, cultural, or contextual biases and social risk for users and organizations across diverse sectors.
View Project
Digital Library
Spearheaded the creation of a Digital Search Engine application using PHP, XAMPP, and SQL for database management, coupled with JavaScript, HTML, and CSS for front-end development. Additionally, integrated Elasticsearch and Kibana for enhanced search capabilities and data visualization.
View ProjectData Analysis
Sentiment Analysis
In this project, I led the development of an advanced system using NLP and deep learning to analyze and summarize brewery reviews. Achieving high accuracy in sentiment classification highlights the potential for applying similar techniques in diverse domains to extract actionable insights from customer feedback.
View Project
Voice Emotion Detection
In this project, I developed a Voice Emotion Detection system using React for the frontend and backend features like MFCCs and Chroma Features. With an 85% accuracy rate, the system effectively recognizes emotional cues in speech data, offering valuable insights.
View Project
Credit Card Fraud Detection
Created a fraud detection model for credit card transactions using anonymized data from September 2013. The highly unbalanced dataset, with frauds accounting for 0.172% of transactions, required advanced machine learning techniques for accurate detection.
View ProjectContact
Location:
Norfolk, VA
Email:
rameshaishwarya10@gmail.com
Call:
+1 757 895 2108