Supply Chain Data Analyst

VRAJ PATEL

*************@*****.*** +1-559-***-**** www.linkedin.com/in/vpatelanalyst

SUMMARY

Track Record of Success : Proven success in driving data-driven strategies that improve profitability and operational efficiency. My efforts have consistently led to enhanced decision-making and business performance.

Visionary Leadership : Experienced in leading cross-functional teams and empowering stakeholders with actionable insights. I am foster collaboration to achieve business goals through data-driven solutions.

Scalability Solutions : Skilled at designing scalable systems that streamline processes and drive long-term growth. My work has consistently improved key metrics while adapting to evolving business needs. I am seeking a full-time opportunity based in the USA and willing to relocate anywhere in the US. I am currently on an F1 visa with a valid work permit and am eligible to apply for an H1-B visa. I am highly motivated and eager to learn and grow within an organization. ACADEMIC QUALIFICATIONS

Master of Science in Business Analytics May 2022 - May 2024 University of the Pacific Stockton, CA, USA

Bachelor of Science in Business Administrative July 2018 - August 2021 TATA Institute of Social Science Ahmedabad, GJ, INDIA PROFESSIONAL EXPERIENCE

SUPPLY CHAIN DATA ANALYST AROMA INDUSTRIES

October 2021 – April 2022 7 Months Ahmedabad, GJ, INDIA

Spearheaded lifecycle planning by analyzing product demand cycle and aligning inventory levels, achieving a 20% reduction in excess stock and enhancing inventory efficiency.

Conducted in-depth risk analysis using Monte Carlo simulations and scenario modeling, identifying potential supply chain disruptions and implementing preventive measures that reduced risk exposure by 25%.

Developed financial planning models by analyzing historical data trends and comparing them with current performance metrics, enabling actionable insights to forecast monthly operational costs and allocate resources effectively.

Collaborated with cross-functional teams and vendors to resolve supply chain disruptions, reducing contingency response times by 20%.

Prepared detailed reports on supply chain inconsistencies, highlighting actionable insights and proposing strategic adjustments to optimize processes, ensuring a smooth transition.

DATA ANALYST AROMA INDUSTRIES

February 2020 – September 2021 1 Year 8 Months Ahmedabad, GJ, INDIA

Extracted, cleaned, and analyzed large data sets using Sequel, Python, and Excel, enhancing data accuracy by 15% and reducing redundancy by 20%.

Designed and implemented pricing strategies by analyzing historical sales data, competitor pricing, and market trends, which resulted in an over 8% increase in profit margins while maintaining competitive positioning.

Collaborated with finance teams to create financial forecasts and budgeting models based on data-driven insights, improving financial accuracy and enabling more informed strategic decisions.

Created well-informed Dashboards to visualize KPIs for operational metrics, supply chain performance, and customer satisfaction, diving a 10% improvement in decision-making efficiency.

Presented recommendations to senior leadership through interactive dashboards and clear visuals, influencing the adoption of a new pricing structure that increased customer retention by 8%.

Conducted impact analysis of pricing adjustments on revenue streams and profitability, ensuring alignment with overall business objectives and mitigating risks in implementation.

Enhanced presentations by regularly creating and delivering tailored reports to stakeholders, aligning data insights into organizational goals and improving executive buy-in on key strategies.

Led cross-functional training sessions on BI and data tools, resulting in a 40% increase in team self-sufficiency for generating reports and leveraging insights.

Conducted in-depth root cause analysis to identify data discrepancies, driving process improvements that enhanced data reliability and consistency across multiple business units

CERTIFICATION

Business Analysis SQL Python Power BI Tableau

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