Grants Proposal Writer
CVC Charity
Total years of experience :10 years, 7 Months
Research and identify grant opportunities. Collaborate with teams to gather information for proposals. Develop clear, compelling, and compliant grant proposals. Monitor funded projects and ensure compliance.
Communicate effectively with internal stakeholders.
Research Support: Collaborate closely with Dr. Jihane Moukhaiber on ongoing pediatric research projects, playing a crucial role in study design, implementation, and execution. Data Collection and Analysis: Employ my expertise in SPSS, Python, and Tableau to collect and analyze research data from a variety of sources, including literature reviews, surveys, clinical observations, and interviews. Extract valuable insights and contribute to evidence-based healthcare practices. Literature Review: Conduct thorough literature reviews to stay abreast of the latest developments in pediatric healthcare and related fields. Summarize key findings and assist in crafting research proposals. Documentation: Maintain meticulous records of research procedures, data, and outcomes. Assist in preparing research reports, papers, and grant applications. Collaboration: Collaborate seamlessly with multidisciplinary teams, including healthcare professionals, researchers, and fellow students within AUBMC, to ensure successful research project execution. Ethical Standards: Ensure strict adherence to ethical guidelines and regulations throughout all research activities, including safeguarding patient confidentiality and adhering to informed consent procedures.
Study on Women Entrepreneurship and Economic Inclusion
As a Data Scientist, I held a key leadership role, overseeing and mentoring a team of up to 8 junior data scientists while contributing significantly to various data-driven projects. My responsibilities encompassed a wide range of data-related tasks, from data collection and cleaning to advanced statistical analysis and machine learning modeling. Heres a detailed breakdown of my role: Team Leadership: Led a team of up to 8 junior data scientists, providing guidance, support, and mentorship to ensure project success and professional development. Data Collection: Conducted data collection activities, including web scraping and surveys, to gather relevant information for analysis. Data Cleaning: Employed data cleaning techniques using Excel and Python to ensure data accuracy, consistency, and reliability. Data Governance and Management: Implemented policies to ensure data quality and oversaw integration, standardization, and storage. Data Consolidation: Unified diverse datasets into a centralized repository, enhancing accessibility and consistency for analysis. Data Analysis: Leveraged Python and R for in-depth data analysis, uncovering insights and patterns within datasets. Modeling: Developed and implemented statistical models to extract valuable information and make data-driven decisions. Descriptive Statistics: Utilized descriptive statistics to summarize and interpret data, providing meaningful insights to stakeholders. Statistical Models and Correlations: Designed and applied statistical models to identify correlations, trends, and relationships within data. Statistical Tests: Conducted various statistical tests, including t-tests, ANOVA, MANOVA, chi-square tests, and correlation analyses, to validate hypotheses and draw data-driven conclusions. AI and ML Modeling: Applied Artificial Intelligence (AI) and Machine Learning (ML) techniques to develop predictive models and optimize decision-making processes. Data Visualization: Created compelling data visualizations using tools such as Python, R, and Tableau to
effectively communicate findings to both technical and non-technical stakeholders. Client and Stakeholder Collaboration: Collaborated closely with clients and stakeholders to understand their data needs, requirements, and objectives. Report Writing: Produced comprehensive reports that summarized complex data analyses and findings in a clear, concise, and actionable manner. Proposal Writing: Prepared comprehensive project proposals, clearly defining objectives, methodologies, timelines, and deliverables, and effectively advocated for the value of data-driven initiatives to secure project approvals and funding from clients and stakeholders.
Prepared an inception report, detailing the chosen methodology, tools, and sampling strategy. Administered surveys using the ICELLA tool, collecting quantitative data on sports activities, life skills, and feedback on coaches. Ensured a sample size of 200 children, maintaining a balance between efficiency and comprehensive data collection. Conducted 2 FDGs with parents and 2 FDGs with coaches, exploring observed changes, life skills acquisition, challenges, and practical examples. Adapted baseline FDG guiding questions to suit the final evaluation context. Utilized the Survey CTO tool for data collection, ensuring standardized and efficient gathering of both quantitative and qualitative data. Facilitated direct access to raw data for RTP headquarters, fostering transparency and collaboration. Strictly adhered to PSEA (Protection from Sexual Exploitation and Abuse) and CP (Child Protection) policies throughout the data collection process. Perform data collection with students, parents and coaches, ensuring adherence to the specified timeline. Maintained effective communication and coordination, including collaboration with RTP on logistics. Validated and cleaned collected data before embarking on comprehensive data analysis. Drafted the final evaluation report, presenting insights into the impact of the project and providing recommendations for future enhancements. Contributed insights and recommendations for refining evaluation methodologies and strategies for future projects.
Developed and submitted a comprehensive Inception Report outlining the projects methodology, tools, and timeline. Determined and implemented an effective sampling strategy, ensuring the representation of diverse perspectives within the target population. Executed online surveys efficiently, leveraging digital platforms to gather data from a wide range of participants. Led a dynamic project team, comprising diverse professionals, to achieve project objectives within stipulated timelines. Took charge of the entire data collection process, ensuring high-quality, reliable, and representative data from women-led cooperatives, MSMEs, NGOs, municipalities, and the Chamber of Commerce. Conducted insightful KIIs with key stakeholders, including NGOs, municipalities in Beqaa and Baalbak el Hermel, and the Chamber of Commerce, fostering collaboration and gathering nuanced insights. Oversaw the meticulous process of data cleaning to ensure accuracy and consistency in the dataset. Conducted thorough data analysis, extracting meaningful patterns and trends to inform evidence based recommendations. Prepared interim progress reports, providing regular updates to project stakeholders on the advancements and challenges faced. Compiled a comprehensive Final Report, consolidating findings, recommendations, and achievements of the project. Established and nurtured relationships with various stakeholders, including NGOs, municipalities, and the Chamber of Commerce, contributing to the projects success and fostering future collaborations. Identified opportunities for improvement throughout the project lifecycle, ensuring that the methodologies employed were agile and responsive to emerging challenges. Played a key role in strategic decision-making processes, guiding the project towards achieving its overarching goal of empowering women entrepreneurs and enhancing rural livelihoods. Collaborated seamlessly with the project team to design clear selection criteria for supported Women Led MSMEs and Cooperatives, aligning with project objectives. Provided recommendations on training curricula tailored to the specific needs and challenges of women-led businesses, addressing environmental imbalances and focusing on decision-making skills, capital, training, and technologies for women with low income. Actively contributed to the dissemination of study findings through reports, presentations, and relevant platforms, fostering knowledge sharing and informing policy recommendations. Ensured strict adherence to ethical guidelines, data protection, and confidentiality standards in all
research activities.
Salem Group
Develop detailed project plans, including timelines, milestones, and resource allocation, in alignment with project objectives. Lead the execution of the project plan, ensuring adherence to timelines and quality standards. Monitor and track project progress, identifying and addressing any deviations or obstacles promptly. Facilitate regular communication and collaboration among stakeholders to ensure alignment with project goals and expectations. Provide leadership and direction to project team members, including researchers, analysts, and administrative staff. Delegate tasks and responsibilities appropriately, ensuring clarity and accountability among team members. Foster a collaborative and supportive work environment conducive to high performance and professional growth. Develop and manage the project budget, including forecasting and tracking expenses, to ensure efficient resource utilization. Proactively monitor and address risks throughout the project lifecycle, implementing contingency measures as needed. Prepare regular progress reports, status updates, and other project documentation for stakeholders and project sponsors. Ensure accuracy and completeness of project documentation, maintaining records of key decisions, actions, and outcomes. Communicate project achievements, challenges, and lessons learned effectively to stakeholders and relevant parties.
Salem Group
Evaluation Framework: Develop a comprehensive evaluation framework and methodology to assess the effectiveness and impact of the USJ Students Internship Program. Data Collection: Collect data from various sources, including student feedback, employer evaluations, internship project outcomes, and program documentation, to evaluate the programs performance. Data Analysis: Analyze collected data using appropriate statistical and analytical tools. Identify trends, successes, challenges, and opportunities for improvement. Outcome Assessment: Assess the achievement of program objectives and outcomes, including skill development, workplace readiness, and overall learning. Impact Evaluation: Evaluate the long-term impact of the internship program on students academic and career development. Feedback Gathering: Conduct interviews, surveys, and focus group discussions with participating students, employers, and program administrators to gather qualitative insights. Recommendations: Provide evidence-based recommendations for program enhancements, including changes to program design, curriculum, and employer partnerships.
Report Preparation: Create a comprehensive final evaluation report that includes findings, recommendations, and actionable insights. Present findings to program stakeholders, including university faculty and administrators.
Led a machine learning project utilizing Google Clouds BigQuery platform to transform audio data into text, enhancing accessibility and searchability of audio content. Designed and executed complex SQL queries within BigQuery to analyze large datasets, extracting valuable insights that informed the development of the audio-to-text transformation model. Leveraged Python to preprocess audio data, implement machine learning algorithms, and develop a bilingual (English and Arabic) audio-to-text model. Collaborated closely with a multidisciplinary team to align machine learning efforts with project objectives, ensuring seamless integration of the audio-to-text solution. Conducted thorough data visualizations to illustrate patterns, trends, and model performance, facilitating effective communication of project progress to stakeholders. Implemented sentiment analysis to assess the emotional tone of transcribed audio content, providing valuable insights into user engagement. Performed an in-depth analysis of word frequency patterns within the transcriptions to identify and prioritize frequently occurring terms, enhancing the search and retrieval capabilities of the audio-to text solution. Developed a voice gender analysis feature to determine the gender of speakers in the transcribed audio, further enhancing the usability and accessibility of the content. Designed and deployed a user-friendly Streamlit web application that enables users to both record audio and upload audio files for transcription. The application provides a seamless experience, allowing users to easily access and download transcriptions, thereby promoting greater accessibility and convenience.
Extracted and compiled raw data from three different centers within Skoun to create comprehensive datasets for analysis. Conducted thorough data cleaning and preprocessing to ensure data accuracy and integrity, contributing to more reliable analysis results. Utilized a variety of analytical techniques to perform in-depth data analysis, identifying trends, patterns, and insights that informed decision-making processes. Created insightful data visualizations, including graphs, charts, and dashboards, to effectively communicate findings to stakeholders and management. Prepared and delivered detailed reports summarizing the analysis results, providing actionable recommendations for improving patient care and operational efficiency.
Womens Programs Association
Conducted comprehensive research and analysis to assess the labor market situation in Lebanon, with a specific focus on young women aged 18-29 with limited educational backgrounds. Undertook an in-depth study of Lebanons economic landscape, considering factors such as political instability, inflation, and unemployment rates to provide contextual insights into the countrys economic conditions. Collected data from reputable job posting websites, including LinkedIn, Bayt.com, NaukriGulf, Daleel Madani, OLX, Ministry of Labor, and HireLebanese, to offer an overview of the prevailing employment landscape in each governorate of Lebanon. Designed and executed surveys targeting institutions that hire individuals within the demographic of interest to acquire detailed information on job requirements, qualifications, hiring practices, workplace environments, and future hiring needs. Utilized advanced data analysis and visualization techniques to identify potential employment opportunities and map the skills of beneficiaries to the available opportunities in relevant areas. Prepared a comprehensive report presenting the studys findings, including recommendations for vocational training programs aimed at helping young women acquire the necessary skills for identified job opportunities. Demonstrated exceptional research, data visualization, and reporting skills, highlighting a commitment to fostering social impact and empowering marginalized communities.
Collect and analyze large data sets to identify trends and patterns Develop reports to support business decision-making Work with stakeholders to understand business challenges and requirements Provide insights and recommendations based on data analysis Develop and maintain dashboards and other reporting tools Identify areas for process improvement and provide recommendations Ensure data accuracy and completeness Participate in the development of data analytics strategies and initiatives
Daily reconciliation of invoices and receipts between middleware and the main system, as well as reconciliation of collected checks and the PDCs date, and reconciliation of accounts. Monitor customer account details for non-payments and delayed payments, and investigate and resolve customer and salesman queries. Prepare a daily sales report and balance limits report in addition to JVs, RVs, and money collection cash and checks.
Conducted credit analysis and risk assessments on loan applications from individuals and businesses Gathered and analyzed financial statements, credit reports, and other relevant data to determine creditworthiness Developed and maintained relationships with clients and provided recommendations for credit limit increases or decreases Reviewed and monitored credit portfolios to ensure adherence to credit policies and procedures Collaborated with underwriters and other teams to ensure timely and accurate loan processing Conducted periodic credit reviews to assess credit risk and identify opportunities for improvement
Responsible for gathering disparate data files from various sources (category managers, suppliers..) on the Navision system. Analyze and normalize data to ensure quality and prepare it for upload into the master data management system and other related software. Provide guidance and analysis on processed data that empower the purchasing, sales, sourcing, and pricing teams.