Ashutosh Moghe Email & Phone Number

Jersey City, Nj, Us

United States

 Collected and integrated diverse datasets, including demographics, health conditions, and utilization patterns, ensuring comprehensive member information. Employed Python with pandas for data cleaning and preprocessing, achieving a 20% reduction in data inconsistencies and errors. Conducted in-depth EDA using tools like Jupyter Notebooks and matplotlib, uncovering key insights into member behavior and characteristics. Utilized statistical techniques such as clustering algorithms (e.g., K-means) to identify distinct member segments based on quantitative criteria. Designed interactive dashboards using Tableau, providing stakeholders with real-time insights into member segmentation and communication effectiveness. Ensured efficient data extraction, transformation, and loading processes, improving data processing efficiency by 30% through Apache Airflow's automated workflows. Implemented clustering algorithms using scikit-learn, resulting in a 15% increase in accuracy in identifying distinct member segments. Used Excel for project tracking, employing features like Gantt charts and milestone tracking for effective project management.

India

 Conducted thorough data cleaning and preprocessing using pandas and SQL, ensuring data accuracy and reliability for the rental price optimization model. Implemented A/B testing methodologies to evaluate different pricing strategies, leading to a 10% increase in rental revenue for selected properties. Created a dynamic pricing dashboard using Power BI, allowing property managers to visualize and adjust rental prices based on real-time market trends and demand. Utilized time-series analysis and regression modeling to forecast property values, achieving a prediction accuracy of 65%, contributing to more informed investment decisions. Measured the percentage increase in rental revenue achieved through optimized pricing strategies. Quantified the accuracy of property value predictions using metrics such as Mean Absolute Error (MAE) or Root Mean Squared Error (RMSE). Utilized advanced Excel functions (e.g., VLOOKUP, INDEX-MATCH) for cross referencing and integrating datasets, reducing data reconciliation time by 15%. Implemented Agile methodologies, breaking down risk modeling tasks into sprints on Jira for efficient project management.

Master'S Degree, Information Systems, 3.77

Bachelor'S Degree, Information Technology