Write a coverletter for below description from the details of projects done given below:
Descriptions:
OBJECTIVES OF THE PROGRAMME
The Department of Delivery for Impact is located within the Division for Data, Analytics and Delivery (DDI) and provides a strategic vision to empower countries and catalyze change so that data and health information are used systematically and effectively to set measurable goals, drive continuous health improvement, and impact policy and programme change. 

The Department of Delivery for Impact aims to bring a systematic, integrated, and sustained focus on the achievement of the Triple Billion targets. It will drive the achievement of the Triple Billion targets through tracking, problem-solving, learning and capacity building. Tracking includes securing agreements to targets and trajectories for each of the billion goals. The Department is facilitating stocktakes, chaired by DG /DDG, that provide countries, Regional Directors, Assistant Director Generals (ADGs), and others responsible for implementation with a platform for reviewing progress and determining the next steps. 

Facilitated workshops on Delivery for Impact (Delivery Labs) and the delivery information platform (Delivery for Impact Network) are among the core offerings under DFI. They provide a mechanism for increasing capacity for effective implementation using a structured approach and tested tools, facilitated problem-solving mechanisms for countries, regions, and programmes to be accountable for results, as well as collating and sharing resources related to best practices for delivery and implementation.

DESCRIPTION OF DUTIES
Terms of reference

The Department of Delivery for Impact is seeking an intern with professional interest and experience (desired) in the management and implementation of health programmes and implementation of health sector reforms, ideally including some experience in health policies and strategies. Knowledge of communications and capacity building in delivery or implementation science is preferred. The Intern will collaborate with the technical team to achieve the programme objectives in line with the Triple Billion Targets of the WHO Thirteenth General Programme of Work (GPW13). 

Under the supervision of a technical expert in the respective area, the intern is assigned the agreed terms of reference:

Typology of delivery challenges:

Review existing literature on bottlenecks and challenges to implementation
Categorize issues into domains
Propose a structure for a typology of implementation challenges
Support in the development of the communication products (e.g., application of delivery tools and delivery case studies)

Support the development of a template for country implementation success stories
Work with country focal persons to develop 2-5 country case studies
Map these country case studies to the delivery challenges and identify the solutions that have been used to drive successful delivery
Learning objectives 
The purpose of the WHO Internship Programme is to provide an enriching learning experience for students and recent graduates. The Learning Objectives outlined within each internship vacancy is a key component of the programme. 

Within this internship, the intern will 

Achieve competency in WHO Delivery approach including tools for implementation, and broader guidance on evidence-informed decision-making (EIDM) (training Components - on-the-job training including WHO Academy course and participation in technical workshops)
Understand the mandate, functioning and scope of WHO at the three levels (through participation in all team-related meetings)
Build collaborative and rewarding professional relationships and networks (through activities listed above, as well as through mentorship by first-level supervisors and other WHO colleagues)

REQUIRED QUALIFICATIONS
Education

Have completed the equivalent of three years of full-time studies at a university or equivalent institution prior to commencing the assignment; AND be enrolled in a course of study at a university or equivalent institution leading to a formal qualification in public health policy, management, communication or other relevant field applicants who have already graduated may also qualify for consideration provided that they apply to the internship within six months after completion of their formal qualification.
Desirable: studying towards, or having recently completed a master’s or PhD in one of the above-mentioned fields.

Skills

Strong analytical and writing skills.
Translating knowledge and science into the implementation of public health principles or programmes. Ability to engage and communicate effectively, including in multicultural environments.
Collaborate effectively with key stakeholders to drive forward action and achieve results.
All interns should be able to demonstrate the following skills in line with the WHO core competencies:

Working collaboratively with team members (teamwork)
Communicating effectively orally and in writing
Respecting and promoting individual and cultural differences
Producing and delivering quality results
Moving forward in a changing environment (willingness to learn/adapt)
In addition, interns need to be familiar with commonly used computer programmes, such as Word, Excel, PowerPoint. 

Experience
Experience in managing knowledge dissemination and capacity building, preferably related to public health
Experience in health policies, strategies, or communications, through academic work or research
Desirable: Experience in implementing health policies, strategies, or communications at the national or sub-national level, especially in low-resource settings.


PROJECTS:
HUMAN FACE EMOTION RECOGNITION USING DEEP LEARNING
MODELS | Deep Learning Project
April 2023 - May 2023 |GitHub 
• Developed facial expression recognition method using FER2013 dataset and
multiple deep learning models for accurate emotion classification.
• Experimented extensively with custom architectures, ResNet, MobileNet,
SqueezeNet, and ShuffleNet.
HUMAN FEMUR BONE MODELING | Research Project
March 2022 - May 2022 | Mentor-Dr. Amrita Puri
• We created a human femur model and examined its static structural properties.
• In this analysis, Ansys, mimics, and 3D slicer software were used and learned.
DE-BLURRING AND DENOISING THE SIGNAL | Course Project
June 2021 | GitHub 
• Recover original signal using 2 approaches :First ,removing the noise and then
deblurring the signal.
• Second deblurring and then remove noise from the signal.
• Tech-stack: Python