Yash is a Power BI Developer with 4 years of experience in designing and deploying interactive dashboards and data visualizations. He specializes in leveraging Python and SQL for data analysis and predictive modeling.
Designed and deployed interactive Power BI dashboards for business insights.
Leveraged Python for predictive modeling and data analysis.
Implemented ETL processes for robust data integration.
Collaborated with stakeholders to align data solutions with business objectives.
Integrated data from SQL databases to create comprehensive reports.
Designed Telco Customer Churn Prediction with predictive analytics identifying key churn drivers and providing actionable retention insights using Python + Power BI Gateway for real-time integration
Built Employee HR Dashboard with real-time HR insights — performance, attendance, and diversity metrics with drill-down for individual/department/org levels
Used Python (scikit-learn + pandas) for predictive modeling integrated with Power BI dashboards
Overview: Designed a predictive analytics solution to forecast customer churn for a telecommunications company. Responsibilities: Created an interactive Power BI dashboard integrating data from multiple sources and visualizing churn patterns. Developed predictive models in Python using scikit-learn for churn probability and pandas for data preprocessing.
Key outcomes:
Identified key factors influencing customer attrition.
Provided actionable insights to improve retention strategies.
Overview: Developed an interactive dashboard providing real-time insights into employee data. Responsibilities: Designed and implemented interactive Power BI dashboards to track employee performance, attendance, and KPIs. Applied Python to automate data cleansing, ensuring consistent and reliable data for reporting and analysis.
Key outcomes:
Helped HR teams track performance, attendance, and diversity metrics.
Promoted real-time decision-making across teams.
Yash
Power BI Developer