Data Analyst

Analytical and technically skilled Data & Logistics Analyst with 3 years of experience in data analytics, operations optimization, and systems reporting. Proven success in building Tableau dashboards, automating Excel/SQL workflows, and improving logistics visibility for major clients. Experienced across ERP (SAP, TMS, WMS) systems, data visualization, and supply-chain analytics. Adept at collaborating with cross-functional teams to transform raw data into actionable business insights. CORE COMPETENCIES

Data Analytics Tableau Power BI SQL Python Excel Automation ETL & Data Pipelines Process Optimization Logistics & Supply Chain Analytics SmartWay Reporting Forecasting Data Validation KPI Development Dashboard Design Snowflake ERP (TMS/WMS/SAP) Documentation & SOPs Cross-Team Collaboration

EDUCATION

M.S. in Computer Science Campbellsville University, Louisville, Kentucky B.E. in Mechanical Engineering (Minor in Computer Science) AVIT (Honors Academy) TECHNICAL SKILLS

Tools & Systems: Tableau, Power BI, Excel (Advanced), Snowflake, SAP ERP, TMS, WMS, Workday, ServiceNow Programming: SQL, Python, R, VBA

Cloud: Azure, AWS, Google Cloud Platform

Other: Process Documentation, Automation, KPI Reporting, Quality Analytics PROFESSIONAL EXPERIENCE

United States Cold Storage (USCS) Camden, NJ, USA

Logistics Analyst July 2025 – Present

• Designed and managed SmartWay Load dashboards in Tableau, tracking carrier sustainability performance with filters for Status, Region,and Ship Date (YTD/MTD/Custom).

• Built toggle parameters for SmartWay / Non-SmartWay / Null loads, ensuring accurate sustainability analytics across carriers.

• Standardized (Smartway Flag) logic using calculated fields to eliminate data inconsistency and improve reporting accuracy by 30 %.

• Created KPI visualizations and date-parameter filters, improving usability for management reporting.

• Automated weekly customer accruals (Impossible Foods, Lotus, Prairie City Bakery, Upstar) using Excel and SQL, cutting manual processing time by 40 %.

• Validated carrier rates, TL tariffs, and warehouse data through VLOOKUP / INDEX-MATCH models to improve freight-cost accuracy. REALITY AI LABS New York, USA

Generative AI Engineer January 2025 – July

• Developed ETL pipelines in Python and Google Cloud to automate analytics data ingestion, improving processing efficiency by 15 %.

• Supported data-driven automation projects, enhancing the scalability and speed of reporting environments.

• Created data pipelines to support analytical projects, ensuring data accuracy and consistency for cross-functional teams.

• Collaborated with cross-functional teams to ensure data consistency for AI and predictive-modeling projects. Zil Money Dallas, Texas, USA

Financial Data Analyst January 2024 – December 2024

• Supported finance teams in system data validation, application monitoring, and resolving SQL-related performance issues.

• Automated recurring reports via Python and Excel Macros, reducing manual workload by 30 %.

• Improved SQL query performance and accuracy in financial systems.

• Maintained data integrity and supported process documentation across ERP and finance platforms.

• Automated recurring reports using Excel Macros and Python scripts, reducing manual support hours by 30%.

• Collaborated with cross-functional teams to maintain data integrity across multiple ERP and financial platforms. Tyler Petroleum Dallas, Texas, USA

Data Analyst (Financial Management) January 2023 – December 2023

• Provided system and user support for multi-branch operations; tracked and resolved service tickets using internal software.

• Assisted with data migration projects and ensured system uptime across departments.

• Diagnosed connectivity and permissions issues to optimize network performance. PROJECTS & PUBLICATION

DOI: 10.1063/5.0111470 Tableau Portfolio: Tableau Public https://www.figma.com/design/vYmOSOBbc4n6YXmDPNYHR7/U-Verze-Application?node-id=14-4&t=fTYotmk4Q8nXwht2-1

• Designed and presented the U-Verze App, an all-in-one platform integrating social networking, mini-stores, and services; conducted market research and user interviews to identify creator-market opportunities, led UI/UX design in Figma with developer coordination for MVP creation, and developed marketing and growth strategies focused on creator engagement, brand partnerships, and digital product sales.

• Published research on process optimization using statistical modeling in AIP Conference Proceedings

• Built data pipelines from Salesforce and SCADA for contact center analytics and predictive maintenance.

• Developed ERP-based reporting and inventory dashboards (SAP + Tableau) to monitor key KPIs, including spare parts usage, procurement cycle times, and cost management.

CERTIFICATIONS

AI and Data Scientist Data Analyst Salesforce Administration PROFILE SUMMARY

SHAKIL OV

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