Who I Am?
I am a dedicated Data Professional with a Master's in Computer Science and over five years of experience in data management, analysis, and visualization across education, technology, healthcare, and financial domains. I have a solid background in working with large and complicated datasets gleaning beneficial findings that inform strategic choices, streamline operations, and stimulate creativity. My expertise includes working with financial datasets, healthcare data, and education-based analytics, ensuring data integrity, compliance, and efficiency. Using my skills in SQL, Python, Tableau, R, Power BI, and C++, I create dynamic dashboards, create predictive models, and find trends that affect business results. My proficiency in computer science enables me to work in software development, IT project management, AI engineering, and systems design in addition to data analytics, enhancing my capacity to develop comprehensive solutions that integrate technology and data science.
DePaul University, Chicago, IL
Mar 2025
DePaul's MS in Computer Science offers flexible, hands-on learning with a focus on Data Science, helping me build technical expertise and apply it to real-world scenarios.
Python, Java, C++, MySQL, SQL, GitHub, R, Tableau, Power BI
Trinity Christian College, Palos Heights, IL
Jan 2021
Focused on Data Science with a strong foundation in computer science principles, complemented by a minor in Theology, fostering analytical thinking and ethical perspectives in technology.
Java, C, Python, SQL, Excel, Math and Data Visualization Tools
2025 - Present
Governors State University, ILSupport Enrollment Management teams by maintaining and optimizing CRM and student information systems. Provide technical assistance, troubleshoot system issues, and coordinate with IT to ensure smooth system operations. Manage data accuracy through validation, reporting, and maintenance of student and admissions records. Contribute to process improvements by testing new features, documenting workflows, and helping departments streamline their technology use.
2025 - 2025
InsOps, Warrenville, ILBuild and optimize scalable ETL pipelines to collect, clean, and migrate large datasets using SQL, Python, and GenAI, improving data accuracy and migration speed. Automate data workflows and integrate structured and unstructured sources by scripting in Python and leveraging cloud platforms such as AWS and Azure, enhancing operational efficiency. Support cloud-based data solutions and collaborate on data governance by using GenAI-powered tools to ensure secure, accurate, and timely data transfers across systems.
2023 - 2025
DePaul University, Chicago, ILManage Collaboratory, a national database tracking public service and community engagement activities. I collect, organize, and analyze faculty data using advanced Excel functions (VLOOKUP, PivotTables, data visualization) to support institutional reporting and transparency. I streamline data processes, generate reports, and coordinate with faculty, staff, and students to validate data, troubleshoot issues, and update activities efficiently.
2022 - 2023
CME Group, Chicago, ILSupported a data migration project for EBS (Electronic Broking Services) under CME, managing pre- and post-migration activities for 50+ clients and transitioning 100,000+ records with 99.9% data accuracy. Ensured seamless transitions by troubleshooting large data files, mapping complex data relationships, and coordinating with regional teams, leading to a 20% increase in customer satisfaction and improved access to EBS’s trading capabilities.
2021 - 2022
Trinity Christian College, Palos Heights, ILEvaluated student transfer credits and maintained accurate records in the college's database, ensuring seamless integration into the Transfer Evaluation System (TES) and Transferology. Ran reports, cleaned data, and updated transfer guides to improve accuracy and streamline processes, while supporting audits, course substitutions, and graduation certifications in compliance with data privacy laws to safeguard student information.
2020 - 2021
In Touch Networks, Chicago, ILConducted research and compiled data on leads, maintaining records in a home-grown CRM system. Cleaned, collected, coordinated, and interpreted datasets to support business decision-making and improve operations. Developed and maintained productive relationships with leads by ensuring profile accuracy and posting C-suite and board roles in the CRM, resulting in enhanced data quality and streamlined workflows.
CRM Communications Coordinator
Governors State University
"I have had the pleasure of working with Annes on many CRM projects. Annes possesses an excellent level of knowledge and proficiency in enrollment management technology. Her ability to bridge the gap between institutional goals and technical solutions has improved data integrity and provided better user experiences. Beyond her technical skills, Annes is a collaborative team player and brings an analytical approach to solutions."
Gained essential skills in healthcare professionalism, focusing on effective communication, emotional intelligence, patient interaction, and cultural sensitivity to support quality care.
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Learned to analyze and tune SQL queries, optimize indexing strategies, and apply performance best practices to enhance SQL Server efficiency, reduce latency, and ensure reliable database operations.
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Explored core concepts of data engineering, including relational and NoSQL databases, data pipelines, and lifecycle stages. Gained foundational skills in data security, governance, and infrastructure tools for modern data systems.
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Learned to build interactive dashboards, create visualizations like line and map, and apply advanced features like calculated fields and parameters. Gained skills to confidently analyze data and prepare for the Tableau Desktop Specialist certification.
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Learned to handle missing values in numerical, categorical, and time-series data using Python. Explored imputation techniques, pattern recognition, and evaluated data quality using real-world datasets like air quality and diabetes data.
ViewTrained decision trees and ensemble models using scikit-learn. Learned to reduce overfitting, tune hyperparameters, and apply models to real-world datasets while balancing model flexibility and accuracy.
ViewLearned Bayesian methods for A/B testing, decision analysis, and regression modeling. Used the PyMC3 library to design, fit, and interpret Bayesian models on real-world datasets like advertising, sales, and rentals.
ViewExplored foundational machine learning and AI concepts, including deep learning use cases like NLP and computer vision. Gained a clear understanding of ML workflows, jargon, and the real-world impact of intelligent systems.
ViewLearned to manipulate and visualize categorical data using pandas and seaborn. Practiced creating, updating, and analyzing non-numerical data with real-world datasets like dog adoption, trip reviews, and census info.
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+1 (708) 600-0169
annesjebasingh@gmail.com
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