Nidhi Pal
Peoria
Summary
Results-driven Lead Data Analyst specializing in data visualization, predictive modeling, and data quality assurance. Proven track record in developing dashboards and validating data integrity to enhance reporting processes for cross-functional teams.
Overview
14
14
years of professional experience
Work History
Lead Data Analyst
Discover Financial Services
Chicago
01.2024 - Current
- Collaborated with cross-functional teams to improve data reporting processes.
- Developed dashboards using visualization tools for stakeholder presentations.
- Validated data integrity through systematic quality checks and audits.
- Conducted ad-hoc analysis to address specific business requests and inquiries.
- Documented methodologies and best practices for future reference and training.
- Developed and maintained data dictionaries, metadata repositories, and data models to ensure accuracy of data.
- Utilized advanced technical skills and expertise to troubleshoot complex problems and implement solutions.
Software Programmer
MedPro Advantage
Peoria
05.2012 - 01.2024
- Developed software solutions for healthcare management systems at MedPro Advantage.
- Collaborated with cross-functional teams to gather software requirements and specifications.
- Implemented testing protocols to identify and resolve software defects efficiently.
- Assisted in troubleshooting technical issues for internal users and clients.
- Documented software design processes and user manuals for end-user training.
- Worked closely with project managers to ensure timely delivery of projects.
- Analyzed large datasets to identify trends and insights for business decisions.
- Created visualizations to communicate complex data findings to stakeholders effectively.
- Assisted in implementing machine learning algorithms for automated processes.
- Performed exploratory analysis on large datasets using SQL and Python libraries such as Pandas, NumPy, Scikit-Learn, and Matplotlib.
- Developed predictive models using machine learning, natural language and statistical analysis methods.
- Implemented supervised and unsupervised learning algorithms such as random forest, KNN, SVM, logistic regression in Python and R environment for predictive analytics projects.
- Developed machine learning algorithms to predict customer churn rates.
- Analyzed data from various sources to generate insights into customer behavior and segmentation.
Education
Post Graduate Program - Artificial Intelligence And Machine Learning
The University of Texas At Austin
Austin, Texas, TX07-2023
Post Graduate Program - Applied Data Science
Massachusetts Institute of Technology
Cambridge, Massachusetts, MA06-2022
Master of Science - Computer Science
Bradley University
Peoria, Illinois, IL05-2010
Skills
- Data visualization
- Predictive modeling
- Database management
- Machine learning
- Data quality assurance
- Cross-functional collaboration
- Data governance
- Effective communication
Timeline
Lead Data Analyst
Discover Financial Services
01.2024 - Current
Software Programmer
MedPro Advantage
05.2012 - 01.2024
Post Graduate Program - Artificial Intelligence And Machine Learning
The University of Texas At Austin
Post Graduate Program - Applied Data Science
Massachusetts Institute of Technology
Master of Science - Computer Science
Bradley University