designed and implemented intricate data models using advanced mathematical and statistical techniques, achieving a 20% increase inprediction accuracy, leading to more informed business decisions.•Conducted comprehensive data analyses, uncovering significant patterns, trends, and correlations within complex datasets, contributing tostrategic initiatives and actionable recommendations.•Leveraged data forecasting methodologies to project future trends and outcomes, aiding stakeholders in anticipating market shifts andoptimizing resource allocation.•Created visually engaging data visualizations with Matplotlib, Seaborn, and Tableau, leading to a 30% increase in stakeholder engagementand enhanced data comprehension.•Collaborated closely with cross-functional teams to integrate domain expertise with data-driven approaches, enhancing the accuracy andimpact of analytical projects. Developed and deployed machine learning algorithms and models, including regression, classification,clustering, and neural networks, to extract valuable insights from diverse datasets. Demonstrated expertise in advanced mathematics andstatistics, designing experiments, conducting hypothesis testing, and deriving actionable insights from experimental data.•Designed and implemented scalable algorithms to optimize application performance and responsiveness, utilizing Python, Java, and SQL tobuild software solutions meeting user needs and business objectives. Participated in code reviews, troubleshooting complex technical issues,and maintaining relational databases for improved performance and minimal downtime

Developed an automated Splunk script, enhancing operational efficiency by streamlining task delegation and ensuring timely notifications tomanagers about service errors.•Proficiently managed databases and utilized Python and SQL, collaborating effectively with CMDB, ServiceNow, and Splunk, contributing toproject success.•Automated server information retrieval using Tanium, improving task automation processes and acquiring valuable expertise with theplatform.•Programmed a Python script to reduce duplicate entries in ServiceNow by 25%, enhancing data accuracy and reliability of server dataretrieved from GCP and AWS.•Restructured SQL stored procedures for enhanced data management efficiency and increased data integration speed, alongside crafting aSplunk script for timely error alerts, reducing task management overhead by 34%.•• Actively pursued ongoing learning in programming and leadership, fostering a collaborative and creative team environment.