AMIR SHABBIR SHAIKH

• Executed complex SQL database queries for data validation, maintaining precision and accuracy in information handling
• Employed data visualization methods using Tableau and PowerBi to effectively communicate insights in reports and presentations, demonstrating a clear grasp of information presentation and strong communication skills
• Troubleshooted database and analytics-related issues by leveraging SQL expertise, critical thinking skills and collaborating with cross-functional teams to swiftly resolve operational challenges
• Collaborated across functional teams to design, deploy, and manage controls effectively, leveraging an in-depth understanding of cloud operations, SQL, and database management
• Demonstrated comprehensive knowledge of industry standards and frameworks (e.g., SOC-1, SOC-2, ISO27001, HITRUST), integrating analytics and database understanding in control development and implementation
• Utilized expertise in cloud security and technology environments (AWS/Azure) to develop and enforce appropriate controls and measures, leveraging analytical skills.

• Translated business requirements into technical specifications, achieving 90% of KPIs using Alteryx, Tableau, ETL, and Snowflake in an agile environment with stakeholders
• Developed Python and SQL-based predictive models to ascertain Fidelity application source code confidentiality, achieving an 88% accuracy rate when committing differentiated code to Git
• Reviewed and optimized SQL code in Fidelity's database environment, resolving 5 high-impact tickets in ServiceNow
• Created and maintained Tableau/PowerBI dashboards for Cloud Fire-call Access monitoring for stakeholders
• Analyzed data sources using ETL and Alteryx, creating Tableau dashboards for 24/7 key metric monitoring
• Implemented data tagging in ServiceNow tickets, categorizing issues and reducing SLA time requirements by 70% through root cause analysis.

• Working in collaboration with ITS Recruitment teams to create, manage job requisitions, job postings including creation, editing, removal, and hiring new and returning staff using Workday, Salesforce and ServiceNow.
• Assisting the ITS CX Leadership to hire new and returning staff through canvas assessments, interviews, and trainings.

• Analyzed University provided mapping documents for data transfer using ETL data through IBM Cognos, performed exploratory data analysis, cleansed, derived new columns using feature engineering to forecast budgets
• Built predictive models such as Logistic Regression, Decision Tree, Random Forest, and Neural Network to understand the significant variables impacting the budgets with an average accuracy of 85%
• Populated the data and created interactive Dashboards in Tableau to discover the Northeastern University operational budget trend for 2025, to develop strategies for academic fiscal planning and budget allocation.

• Transformed and cleansed large unstructured customer datasets into well-structured data format using ETL and MySQL and performed trend assessment of the information using Power BI
• Performed data profiling, data exploration and using Power BI visualized the companies trend analysis, predicted allocation of resources and identified business improvements opportunities
• Automated the merging process using stored procedures to perform data migration across two CRM platforms which reduced 12% of run time
• Validated and resolved Data Quality issues within the Salesforce application post migration which decreased the production errors by 8%

• Proactively managed applications, ETL, SQL databases, and web servers for 24/7 service availability, predicting and preventing issues
• Utilized predictive modeling and CloudTrail logs to analyze business data for designing RDS architecture with AWS services
• Created Tableau dashboards to identify trends, optimize IAM services, and improve SLAs
• Supported data center migration to cloud infrastructure, dynamically adjusting architecture to meet business needs along with data integration and analysis from diverse sources, generating reports using ETL and MySQL for client solutions
• Assisted enterprise customers with escalated AWS service issues and integrations, including VPC, Route53, IAM, and more
• Developed automated reports using ETL, MySQL, Tableau, AWS CloudTrail, and SNS, reducing manual monitoring efforts by 70%
• Enhanced reporting workflows with Tableau, ETL, and MySQL, cutting processing time by 75% and delivering valuable insights to clients.

• • Utilized R and Python for ETL processes to transform raw customer order data, enabling analysis, data modeling, and predictions.
  • Monitored operational and supply chain performance to identify trends, efficiency gaps, and root causes, driving logistical process improvements.
  • Analyzed customer behavior using Big Data, MySQL, and Tableau to understand the customer experience and provide actionable recommendations through dashboard construction and enhancement.
  • Developed an Amazon.com product page using Excel, ETL, MySQL, and AWS Service Catalog along with managing technical escalations for Amazon Prime, Kindle, and Alexa, maintaining a 90% SLA.
  • Executed SQL queries to consolidate customer purchase data from multiple Amazon domains, profiling data to determine net revenue growth.
  • Leveraged CRM for operational front-end processes, including order placement, packaging, logistics, delivery, and service handling.

A Master's in Data Analytics program develops proficiency in a range of skills and technologies crucial for success in the field. I was able to gain expertise in statistical analysis, data visualization, and predictive modeling in addition to proficiency in programming languages such as Python, R, and SQL. The program also covered machine learning techniques, data mining, big data technologies (like Hadoop and Spark), and tools for data manipulation and analysis (such as Tableau or Power BI). Practical experience in handling real datasets, employing analytical tools, and communicating insights effectively was emphasized and focused throughout the program. I definitely have emerge equipped with a comprehensive skill set to tackle complex data challenges in diverse industries.

An MBA in Operations Research cultivates a robust skill set in analytical thinking and strategic decision-making essential for streamlining business operations. I have developed proficiency in applying mathematical and statistical techniques to optimize processes. The program emphasized skills in quantitative analysis, data modeling, and simulation, empowering to solve complex business problems. Moreover, I was able to gain expertise in utilizing software and technologies such as mathematical modeling software, statistical analysis tools (e.g., R), and data visualization platforms. Case studies, practical projects, and industry applications are integral to the curriculum, have tremendously ensured me for careers in Technology, Operations management, Retail, Finance, and strategic planning, equipped with the practical skills to enhance operational efficiency in various industries.

A Bachelor's in Mechanical Engineering program offers a diverse skill set and familiarity with various technologies crucial for success in the field. I have gained expertise in subjects such as mechanics, thermodynamics, materials science, and design principles. The curriculum included proficiency in utilizing engineering software (e.g., CAD, MATLAB) for design and analysis, as well as exposure to emerging technologies like 3D printing and computer-aided simulations. Moreover, I was able to develop practical skills through hands-on projects, learning to analyze, problem-solve, and design mechanical systems and finally emerged with the ability to apply my knowledge to industries such as automotive, aerospace, manufacturing, and energy, ready to address complex engineering challenges and contribute effectively in these dynamic sectors.