Syed Sazid

1. Marking, grading, calculating, and recording grades of students’ work.
2. Marking preparation based on course materials.
3. Marking and grading of lab reports/ assignments, tests, exams, and essays.
4. Commenting upon students’ work as required.
Courses:
-Introduction to Business Analytic
Program: BBA, Department: School of Business
-Statistical Aspects of Modelling
Program: Applied Modeling and Quantitative Methods, Department: Mathematics
-Introduction to Databases
Program: Applied Modeling and Quantitative Methods, Department: Computer Science

Collected, cleaned, and processed large datasets from various sources, ensuring data integrity and accuracy.
Utilized statistical techniques to analyze data trends, patterns, and anomalies, presenting findings to stakeholders in clear and concise reports.
Created interactive data visualizations using Power BI, enabling users to gain insights quickly and make informed decisions.
Collaborated with data engineers to optimize data storage and retrieval processes, improving data access and query performance.
Build full-cycle analytics experiments, reports, and dashboards using SQL and Python.
Analyzed the qualitative and quantitative findings of survey to prepare statistical model.
Used data science techniques to find data patterns, anomalies, and optimization opportunities.
Imported and cleaned data sets, analyzed data, built, and evaluated data models using Python.
Utilized several data visualization tools, techniques, and libraries in Python to present data visually.
Applied descriptive, predictive, and prescriptive analytics for modeling and decision-making.
Demonstrated orally, and in writing, the ability to explain analytical models and results.
Collaborated with data engineers to optimize data storage and retrieval processes, improving data access and query performance.
Conducted exploratory data analysis to uncover insights and patterns in data.
Supported the development of data visualizations and reports for client presentations.

Assisted in the creation of automated dashboards to track project performance metrics.
Analyzed data using statistical techniques and tools to identify trends, patterns, and insights.
Managed and maintained databases, ensuring data integrity and security.
Collaborate with cross-functional teams to gather data requirements and provide analytical insights.
Presented findings and insights to non-technical stakeholders in a clear and understandable manner.

Designed and executed surveys, interviews, and focus groups to gather primary data, analyzing results to draw actionable insights.
Utilized advanced statistical analysis tools such as SPSS and R to analyze large datasets and extract meaningful findings.
Developed and maintained research databases, ensuring data accuracy and completeness.
Produced detailed research reports and presentations, translating complex data into clear and concise narratives for clients and stakeholders.
Assisted professors and senior researchers in designing and conducting research projects.
Conducted literature reviews to identify gaps in existing research and inform research objectives.
Collected and analyzed quantitative and qualitative data, using software such as Microsoft Excel.
Prepared research materials, coordinated participant recruitment, and facilitated data collection processes.
Assisted in writing research papers and grant proposals, contributing to the publication of research articles.

Coordinated end-to-end cargo shipment plan by maintaining SOP for Levi’s and Esprit.
Coordinated with operation team to conduct pre-shipment tasks and containerization.
Ensured continuous update of cargo status for real-time tracking at the customers’ end.
Acted as a key account person for customers on critical concerns and managing exceptions.
Prepared periodic business reports on respective clients’- revenue collection, business growth, shipment volume, operational issues, and sea-port congestion time of different ports of South Asia for top management decision making.

Analyzed primary and secondary Sales Bias (Gap between forecasted & actual sales).
Monitored Nestle and distributors’ Stock to ensure product availability.
Monitor current Store Keeping Unit (SKU) performance and report it to internal stakeholders.
Outlet tracking and market share/coverage analysis to develop further strategy.
Support marketing team to develop trade/consumer Promotion based on SKU performance.
Collected brand wise bad-goods reports and circulated it to internal stakeholders.

Marking, grading, calculating, and recording grades of students’ work.
Marking preparation based on course materials.
Marking and grading of lab reports/ assignments, tests, exams, and essays.
Commenting upon students’ work as required.
Courses: Introduction to Business Analytic; Statistical Aspects of Modelling; Introduction to Databases.