Navneet Kaur

• Developed and implemented engaging science curriculum aligned with state standards.
• Conducted laboratory experiments to enhance student understanding of scientific concepts.
• Implemented inquiry-based learning techniques in the classroom, promoting curiosity and active engagement among students.
• Communicated with students and parents regarding academic progress, assignments, and behavior.
• Used exams and standardized assessment tools to measure student progress.

Learned about the data ecosystem, including the ETL process, and big data basics.

· Mastered for data gathering, identifications and cleaning for data analysis preparation.

Projects Worked on During Internship:

1. Sales analysis dashboard. | Excel

• Developed a dynamic sales dashboard using Pivot Tables and advanced formulas (VLOOKUP, HLOOKUP, INDEX-MATCH) to track monthly revenue trends.
• Automated data cleaning processes using Power Query, significantly reducing manual reporting time.

2. BMW & Sales Analysis Dashboard. | Power BI.

• Visualized complex datasets by creating interactive Power BI reports to track sales performance and automotive market trends.
• Build custom measures using DAX to provide deeper insights into regional sales growth and product performance.

3. HR Analytics | SQL

• Extracted and analysis workforce data using SQL to monitor key metrics such as employee turnover, headcount distribution, and performance ratings.
• Optimized complex queries and joins to handle large-scale organizational data efficiently.

4. Covid analysis, Netflix analysis. | Tableau

• Designed compelling visual stories in Tableau to track global pandemic trends and analyze Netflix's content library evolution.
• Implemented filters and parameters to allow stakeholders to perform self-service discovery of regional viewership and content genres.

5. Retail and warehouse sales analysis in Python, machine learning.

• Applied machine learning algorithms in Python to forecast retail demand and optimize warehouse inventory levels.
• Conducted exploratory data analysis (EDA) using Pandas and Matplotlib to identify supply chain bottlenecks and seasonal sales patterns.

• Developed personalized lesson plans to enhance student understanding and engagement.
• Assisted students with homework and exam preparation, fostering academic confidence.
• Supported students with helpful study habits and exam strategies.
• Motivated students towards learning and studying to build self-confidence and reduce fear of failure.

Client: Middleton Hospital, USA

Software: eClinicalWorks

• Managed and validated Electronic Health Records (EHR) to ensure accurate and compliant patient data.
• Compiled, delivered precise reports for physicians and teams, supporting data-driven decisions.
• Executed quality assurance, document verification, and mail processing with 100% accuracy.
• Collaborated with clients to identify process gaps and implement, improving data efficiency by 25%.
• Delivered responsive customer support, resolving service requests within defined SLAs.
• Maintained full compliance with HIPAA regulations to safeguard patient confidentiality.