SHARANPREET KAUR MULTANI

• Working closely with Project Managers to help with various education projects.
• Contacting schools to encourage registration and participation in educational programmes via phone and email.
• Accurately recording and logging information and feedback from calls on an internal database.
• Adjudication of the entries for ongoing campaigns.
• Reviewing, sorting and shortlisting nationwide entries.
• Performing internal data entry and database management tasks.

• Listening to the questions of the customers and advising them about the products or services.
• Capturing data from the patient
• Allotting time to each customer equally.
• Dealing with medical insurance companies.
• Answering phone calls and email inquires.
• Advising the customers about insurance plans.
• Scheduling appointments for the Patient

• Maintained office files in both electronic and hard copies.

Oversaw creation, organization, and maintenance of documents,

records, and files, ensuring easy retrieval and accessibility.

• Assisted in planning and execution of company events, ensuring

seamless coordination and positive experience for participants.

• Conducted data entry tasks accurately, and assisted in data analysis

to support decision-making processes.

• Utilised proficiency in Microsoft Office suite (Word, Excel,

PowerPoint) and other relevant software to enhance administrative

efficiency.

• Collaborated with vendors to coordinate services and maintain

positive working relationships.

• Actively supporting projects and initiatives being led by the EMEA Project Manager to keep everyone aligned and informed, managing discreet activities as required.
• Developed project plans outlining tasks, timelines, and dependencies for content localization projects.
• Creating detailed POAs and communicating the same to various internal/ external production teams, vendors and translators.
• Utilized data analytics tools like Python to assess the performance and impact of localized content in different regions.
• Collaborated with teams across the organization, including data engineering, product management, marketing, and finance, to ensure a holistic approach to content analytics.
• Designed and maintained dashboards and reports that visualize key performance indicators and metrics related to content.
• Ensuring project tasks and status are kept updated on internal productivity and collaboration tools for the team (e.g Airtable and CLP)
• Representing the Netflix Strategy & Operations team internally to cross-functional teams within the studio, troubleshooting and responding to queries through team communication channels (e.g Slack, CLP, Teams etc)
• Coordinated with external vendors and localization partners to ensure the timely delivery of high-quality localized content.
• Tracked and managed project timelines, ensuring that content was localized and released per Netflix's content release schedule.
• Ensured that localized content complies with legal and cultural requirements in different regions.
• Used data analytics to assess the cultural impact and relevance of localized content.
• Communicating, referring and using the Netflix tools such as Airtable, Zendesk,Terminology, CLP daily.

• Processing new projects that come in from the client.
• Coordinated access arrangements and project instructions with multiple teams.
• Maximised communication and transparency between clients, internal departments and vendors.
• Improved average delivery times by eliminating non-value-adding steps, automating tasks and managing scope creep.
• Developed and maintained project plans outlining tasks, timelines, milestones, and dependencies for content localization projects.
• Created detailed POAs and communicated the same to various internal production teams, editors and translators
• Coordinated with internal and external teams, including translators, editors, and localization vendors, to allocate resources effectively.
• Collaborated with legal teams to address any linguistic or cultural issues that may arise during the localization process.
• Identified and addressed issues that may impact the process, including technical challenges, linguistic concerns, and cultural considerations.
• Generated and maintained documentation, and trackers related to project specifications, requirements, and outcomes.
• Conducted post-project evaluations and gathered feedback to analyze the success of the localization process.
• Involved in daily communication and follow-up to ensure each project flows smoothly within the timeline, receives adequate checks, and is completely ready for delivery on time
• Attended the production calls and calls with the client's services team as needed.
• Identified opportunities for process optimization and automation in content localization workflows.

• Planned and delivered educational programs and activities in alignment with the institution's mission and goals.
• Contributed to the development of educational curricula that aligned with the objectives.
• Conducted workshops, training sessions, and capacity-building programs for the community and students.
• Provided individualized support and guidance to students and participants who needed extra assistance.
• Monitored the progress of learners and adjusted teaching strategies as necessary.
• Collaborated with community members to understand their needs and incorporated community perspectives into educational programs.
• Collected and analysed data to measure program outcomes and identify areas for improvement.
• Built the capacity of local teachers, community leaders, and volunteers through training sessions and mentorship

• Identified fraud patterns and Modus operandi(s) that would have a direct impact on the bottom line / bad debt rate for amazon.com.
• Investigated and analyzed transactions to identify potential fraudulent activities on the Amazon platform.
• Reviewed and assessed high-risk transactions and accounts to identify patterns or anomalies that may indicate fraudulent behaviour.
• Utilized internal tools and systems to conduct in-depth transaction analyses.
• Documented actions by providing detailed annotations.
• Generated reports on suspicious transactions and submitted them to the appropriate teams or authorities.
• Took appropriate actions, such as issuing warnings, suspending accounts, or escalating cases for further review.
• Continuously monitored transactional data and account activities to stay vigilant against evolving fraud patterns.
• Collaborated with data scientists and analysts to develop and improve fraud detection algorithms.
• Communicated with customers, financial institutions, and law enforcement agencies via telephone and e-mail if required for a given investigation