نبذة عني
Data Scientist with experience in analytics, machine learning, data visualization, and dashboarding. Experience includes targeted marketing analytics, predictive modeling, cost analysis, and energy efficiency analysis us…
Data Scientist with experience in analytics, machine learning, data visualization, and dashboarding. Experience includes targeted marketing analytics, predictive modeling, cost analysis, and energy efficiency analysis using tools such as Python, Power BI, MATLAB, Microsoft SQL, Pandas, MS-Excel, and SSMS.
الخبرة
Sr. Data Engineer
Data collection , Model Building , Data Insights. LEVERAGED DATA-DRIVEN APPROACHES TO ENHANCE DECISION ACCURACY BY 25%.
PRIORITIZED CLIENT SATISFACTION, LEADING TO A NOTABLE 40% INCREASE. PROFICIENTLY EMPLOYED TOOLS SUCH AS POWER BI AND SQL TO GENERATE INSIGHTFUL REPORTS AND VISUALS, FACILITATING DATA-DRIVEN DECISION-MAKING PROCESSES
Data Scientist
Spearheaded projects to elevate targeted marketing strategies, optimizing advertising impact through advanced analytics and machine learning.
Collaborated cross-functionally to implement data-driven solutions aligning with overarching business objectives.
Constructed predictive models for assessing marketing efficacy.
Data Analyst
Cleaned, filtered, and formatted unstructured data using MS-Excel and SSMS, enhancing associates' hourly performance tracking.
Applied advanced data analysis techniques, creating dashboards to monitor project growth.
Utilized statistical methods to quantify variables' impact on project costs, providing actionable insights for strategic decision-making.
Executed international travel to Malaysia for client meetings, leveraging data-driven approaches to enhance decision accuracy by 25%.
Presented actionable recommendations, offering stakeholders a roadmap for cost optimization.
Implemented data analysis to identify opportunities for enhancing energy efficiency in construction projects.
Applied advanced analytics to interpret data, informing strategic decisions for resource optimization.
Utilized tools such as Python, BI, and Excel to process and analyze large datasets, extracting insights for decision-making.
Conducted cost-benefit analysis to evaluate financial implications of proposed energy efficiency measures.