Quick-thinker, analytical, and result-oriented Data Analyst with 4+ years of experience in applying Python, SQL, Tableau, Power BI, and Adobe Analytics techniques to real-world problems to generate business insights and …
Quick-thinker, analytical, and result-oriented Data Analyst with 4+ years of experience in applying Python, SQL, Tableau, Power BI, and Adobe Analytics techniques to real-world problems to generate business insights and solutions in Banking, Healthcare, Social Media, Energy, GIS, Manufacturing, and Consumer Products. Innovate through strong problem-solving and analytical skills, emphasizing product development to apply data analytics techniques to find data patterns, anomalies, and optimization opportunities to develop processes and tools that monitor and analyze model performance, test model quality, and data accuracy. Self-motivated, accountable, and upbeat individual with strong storytelling capabilities to tie analytic results to business implications, work collaboratively and independently to communicate clearly and effectively with multidisciplinary, cross-functional, and virtual teams to deliver impeccable results through designing, prototyping, and implementing practical solutions.
With strong project management and follow-through skills, built smart dashboards, business reports, and presentations to communicate findings and results clearly and effectively to decision makers, business partners, and clients using Tableau, advanced Excel, SQL, Adobe Analytics, SAS, and Python.
Collaborate with healthcare client to define requirements, clean and normalize messy data to develop predictive analytics and implement recommendation systems with 72% accuracy.
Successfully implemented credit risk modeling, resulting in savings of $150K/year. Leveraged data analytics to reduce risk and ensure profitability relying on historical data and project's specific features. The resulting model can select appropriate project features and predict productivity with accuracy of 95% by applying Python, Machine Learning, Regression Analysis, Model Evaluation, and Implementation.
Applied project management and critical thinking in design and data analytics of a low-cost automated system to capture and control a new scattering system that increased efficiency by 40%.
With strong acute attention to detail, analyzed ambiguous and incomplete data to execute data collection, import datasets, data wrangling, data featuring, ETL, data pipelines, data cleaning, and manipulating the data frames with Python through NumPy and Pandas libraries with 90% accuracy.
Leveraged advanced visualization tools (Matplotlib and Seaborn) to plot datasets and developed visualization dashboards in Tableau.
Developed and build interactive dashboards using business data, Tableau and Adobe Analytics.
Built smart dashboards, business reports, and presentations to communicate findings and results clearly and effectively to decision makers, business partners, and clients using Tableau, advanced Excel, SQL, Adobe Analytics, SAS, and Python.
Collaborate with healthcare client to define requirements, clean and normalize messy data to develop predictive analytics and impalement recommendation systems with 72% accuracy.
Successfully implemented credit risk modeling, resulting in savings of $150K/year.
Leveraged data analytics to reduce risk and ensure profitability relying on historical data and project's specific features.
The resulting model can select appropriate project features and predict productivity with accuracy of 95% by applying Python, Machine Learning, Regression Analysis, Model Evaluation, and Implementation.
Applied project management and critical thinking in design and data analytics of a low-cost automated system to capture and control a new scattering system that increased efficiency by 40%.
Problem-solving and risk management techniques applied in the reengineering of optical instruments fueled improvements to efficiency and uptime by 25%.
Performed predictive modeling and time series analysis of fluid deformation to improve particle size measurement accuracy by 15%.
Analyzed ambiguous and incomplete data to execute data collection, import datasets, data wrangling, data featuring, ETL, data pipelines, data cleaning, and manipulating the data frames with Python through NumPy and Pandas libraries with 90% accuracy.
Leveraged advanced visualization tools (Matplotlib and Seaborn) to plot datasets and developed visualization dashboards in Tableau.
Developed and build interactive dashboards using business data, Tableau and Adobe Analytics.
● With strong project management and follow-through skills, built smart dashboards, business reports, and presentations to communicate findings and results clearly and effectively to decision makers, business partners, and clients using Tableau, advanced Excel, SQL, Adobe Analytics, SAS, and Python.
● Collaborate with healthcare client to define requirements, clean and normalize messy data to develop predictive analytics and impalement recommendation systems with 72% accuracy.
● Successfully implemented credit risk modeling, resulting in savings of $150K/year. Leveraged data analytics to reduce risk and ensure profitability relying on historical data and project's specific features. The resulting model can select appropriate project features and predict productivity with accuracy of 95% by applying Python, Machine Learning, Regression Analysis, Model Evaluation, and Implementation.
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