Results-driven Data Analyst and aspiring Data Scientist with 20+ years of broad-based experience and strong expertise in Python, SQL, Power BI, and Machine Learning and a Post Graduate Program in Data Science and Business Analytics. Proven ability to transform complex data into actionable insights that support business decision-making. Experienced in data visualization, statistical analysis, and predictive modeling through both academic projects and professional roles. Adept at aligning data solutions with business goals, with a solid foundation in data warehousing and analytics gained through cross-functional industry experience
• Built a predictive machine learning model that predicts the likelihood of visa certification for foreign labor applications to support OFLC in automating and prioritizing visa cases, reducing manual workload and improving decision accuracy using AdaBoost, Random Forest, XGBoost, Bagging and Gradient Boosting.
• Created Power BI dashboards to Analyze FIFA 2018 player data to uncover insights into player evaluation, wage strategies, and future talent identification in proactive decision-making.
• Managed SQL-based ETL pipelines and automated data validations, enhancing data integrity by 30%.
• Applied advanced statistical modeling (regression, classification) to identify trends, produce data-driven recommendations, and influence strategic R&D investments
• Developed a predictive model to forecast sales and classify customer reviews, automating responses and improving operational efficiency by 55%. Utilized Python (Pandas, NumPy, Scikit-Learn) for data preprocessing and model training and optimization.
Business Intelligence & Data Analytics:
BI Tools & Visualization:
Data Engineering & ETL:
Statistical Modeling & ML:
Project Execution & Leadership:
ERP Systems:
Other Software/Tools: