About Me
Hi, I’m Shelly Nagar, a Data Analyst deeply passionate about the entire process of transforming raw data into actionable insights. I am driven by the excitement of unraveling data’s hidden stories and using them to inform smarter business decisions. My proficiency lies in analyzing, cleaning, and visualizing data using tools like Power BI, Tableau, Excel, SQL, and Python. I’ve created dynamic, interactive dashboards that simplify complex data into meaningful narratives across sectors like e-commerce, supply chain, and retail. With a background in Mechanical Engineering and experience as a Management Trainee, I consistently use data to identify inefficiencies, streamline processes, and boost productivity. Data analysis is not just my expertise but my passion, and I thrive on turning challenges into opportunities for improvement. Let’s connect and collaborate to turn data into impactful solutions for business success!
1
Excel Project
2
PowerBI Projects
1
SQL Project
1
Python Project
Key Skills
My Projects
My Experience
Aarti Industries Limited, Gujarat, India—Management Trainee
Jul 2022 – Jun 2023
- Enhanced data quality by 20% and boosted team productivity by 20% through strategic data analysis, dashboard creation, root cause analysis, and resolving performance bottlenecks.
- Reduced project timelines by 25% and minimized delays by 15% by utilizing tools like Google Sheets, Primavera, and SAP, while also increasing reporting accuracy by 15%.
- Delivered data-driven insights via clear presentations to stakeholders, further reducing project timelines by an additional 10%.
- Collaborated effectively with stakeholders to gather requirements, assess risks, and ensure outcomes aligned with business objectives.
- Maintained comprehensive documentation, focusing on key metrics and usability, while resolving issues efficiently.
Excelerate, Remote -Â Data Visualization Associate
Feb 2025–Mar 2025
- Cleaned and structured datasets (~47K records), improving data integrity by 95% using statistical methods like outlier detection and missing data imputation.
- Optimized data workflows and reporting processes with Python, Excel, and Power Query, reducing refresh lag by ~50%.
- Created interactive dashboards in Power BI and Looker Studio, enhancing stakeholder engagement by 30%.
- Collaborated with a global team, improving coordination by 35% through task documentation and team charter creation.
Excelerate, Remote -Â AI Data Analyst Intern
Feb 2025–Mar 2025
-  Conducted in-depth exploratory analysis on 8.5K+ engagement records, applying statistical techniques like correlation analysis and hypothesis testing to identify 15–20% churn drivers.
- Built 4 predictive models (Random Forest, SVM, etc.), achieving 90% churn prediction accuracy.
- Provided actionable insights to improve student retention, leading to a 10% increase in participation rates.
- Collaborated with a global team to document data processing workflows and recommendations for process improvement.
Awards & Certificate
Let's Work Together!
Feel free to get in touch with me. I am always open to discussing new projects, creative ideas or opportunities to be part of your visions.