Proven expertise in statistical analysis, advanced data visualization, data engineering and predictive modeling, complemented by robust project management skills. Highly creative, motivated, and autonomous, with a keen a…
Proven expertise in statistical analysis, advanced data visualization, data engineering and predictive modeling, complemented by robust project management skills. Highly creative, motivated, and autonomous, with a keen ability to drive projects to successful completion.
•Proficient in PySpark for ETL processes, enhancing data pipelines for scalability and performance.
•Skilled in utilizing Data Fabric to seamlessly
integrate diverse data sources into a centralized data lake, ensuring consistency and accessibility.
•Created impactful visual reports using Power BI, leveraging expertise in DAX and M Code
expressions.
•Demonstrated proficiency in administering Tableau Server and Power BI Service.
•Applied advanced techniques like YOLO for precise object detection and tracking.
•Designed intuitive dashboards for Project
Management, HR, Fund Management, and
Population Survey domains.
Proficient in PySpark for ETL processes, enhancing data pipelines for scalability and performance.
Skilled in utilizing Data Fabric to seamlessly integrate diverse data sources into a centralized data lake, ensuring consistency and accessibility.
Created impactful visual reports using Power BI, leveraging expertise in DAX and M Code expressions.
Demonstrated proficiency in administering Tableau Server and Power BI Service.
Applied advanced techniques like YOLO for precise object detection and tracking.
Designed intuitive dashboards for Project Management, HR, Fund Management, and Population Survey domains.
Create visualization and dashboards using multiple sources in Tableau Desktop
Data pre-processing using Pandas, NumPy, SciPy, Scikit-Learn data.table and Tableau Prep
Run SQL queries to obtain relevant information from the databases.
Extraction of outliers using statistical and clustering techniques such as Isolation Forest.
Web data scraping using Selenium in Python
Building and publishing RShiny App
Image analytics using Keras and OpenCV
Building classifiers to predict the risk categories using machine learning techniques such as XGBoost.
Analyzing the sales and inventory data of the company and its subordinates using Excel and Tally
Analyzing survey data from social and economic research
Conducted A/B Testing to analyze the new features in the product.
Extraction of data from ERP (Enterprise Resource Planning)
The AI-first Recruitment Operating System that unifies and automates the entire hiring lifecycle for modern enterprises worldwide.
Dr Job FZ LLC. 2026 © All Rights Reserved
