
Shivaranjini Ashok
Fähigkeiten und Kenntnisse
Werdegang
Berufserfahrung von Shivaranjini Ashok
- 11 Monate, März 2023 - Jan. 2024
Network Operations Manager
Viskan Logistics Services Private Limited
Generated over 40 leads monthly, converting 30% into new business through strong relationships with overseas agents. Built and nurtured partnerships with international agents to secure key business opportunities. Actively expanded the company’s global network by collaborating with overseas partners.
- 3 Jahre und 6 Monate, Aug. 2018 - Jan. 2022
Airfreight Specialist
Viskan Logistics Private Limited
Communicated with overseas offices to determine freight costs and prepared accurate sea and air freight quotations. Negotiated pricing with clients, followed up on quotations, and secured orders. Coordinated with partners and stakeholders to ensure smooth operations and resolve logistics issues. Handled documentation processes, including Bill of Lading and compliance checks.
Designed and executed technical configurations for EMC storage Designed and implemented EMC storage solutions based on client specifications and performance requirements. Conducted detailed sizing and capacity planning for EMC storage products using sizing and quoting tools to meet both immediate and future needs. Developed accurate pricing models and prepared client-specific quotations, utilizing Salesforce to streamline the quoting process.
Ausbildung von Shivaranjini Ashok
- 1 Jahr und 3 Monate, Jan. 2022 - März 2023
International Business Management
Coventry University
International Business and Global Strategy, Financial Analysis and Decision Making, Business Analytics. Master Research Project: Effects of COVID-19 on Market Forces and Market Indices. Analyzed FTSE 100 index trends across pandemic phases, using Excel, SPSS, and Bloomberg to assess 1,000+ data points, uncovering 15 sector trends and 8 macroeconomic influences. Focus: Business Analytics.
- 3 Jahre und 11 Monate, Sep. 2012 - Juli 2016
Information science
Sri krishna Institute of Technology
Research Project: Ensemble of Logistic Maps with Genetic Algorithm for Optimal Pixel Selection in Image Steganography. Focus Areas: Data Structures, Object-Oriented Programming Concepts
Sprachen
Deutsch
Gut
Englisch
Fließend
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