1. HR ANALYTICS :-
- Collected and cleaned HR data from multiple sources, including HRIS, employee surveys, and performance evaluations.
- Developed an precisely interactive Dashboard using different tools like Excel , Tableau , Power BI , SQL.
& data preparation & pre-processing.
- implemented some required Calculation Using Advance-Excel.
- Conducted advanced statistical analysis and data mining techniques to identify patterns and trends related to employee engagement and retention.
- Collaborated closely with HR business partners and department heads to interpret findings and formulate data-driven strategies for improving employee retention and satisfaction.
Tools and Technologies Used:
- Data Analysis: Python, R
- Machine Learning: scikit-learn, TensorFlow
- Data Visualization: Tableau, Matplotlib, Seaborn, PowerBI, Advance Excel
- Database Management: SQL
2. CROUD FUNDING :-
- Served as the project lead for a Kickstarter crowdfunding campaign aimed at funding the production and launch of Product .
- Conducted advanced statistical analysis and data mining techniques to identify patterns and trends related to employee engagement and retention.
- Developed an precisely interactive Dashboard using different tools like Excel , Tableau , Power BI , SQL.
& data preparation & pre-processing.
- implemented some required Calculation Using Advance-Excel.
Tools and Technologies Used:
- Data Analysis: Python, R
- Machine Learning: scikit-learn, TensorFlow
- Data Visualization: Tableau, Matplotlib, Seaborn, PowerBI, Advance Excel
- Database Management: SQL