Skills I've picked up over the years.

Here are skills I've cultivated, driven by my curiosity.

Product Management

  • Agile including Scrum and Kanban methods

    I am actively practice Agile when building products which involves grooming backlogs and running two-week sprints. I try to run retrospectives and put aside time for a refactor sprint every few months.

  • User Requirements

    I develop Product Requirements Document (PRD) for every product I'm involved in where I manage feature epics. I prioritize user needs and what features to build using the Desirability/Feasibility/Viability matrix to identify the most valuable design and RICE (Reach, Impact, Confidence, and Effort) scoring to help determine the total impact for every unit of time worked on a feature.

  • Human Centered Design

    I follow a human centered design approach when gathering user needs and feedback. I try my best to empathize and understand how their do their work. I define user personas, map user journeys and write user stories based on the research.

Data Management

  • Spreadsheets

    I consider myself a power user of spreadsheets and I prefer to automate any tasks that has to be done more than once using functions and writing scripts and macros.

  • CRM/Databases

    I am adept at handling relational data, engaging in data modeling through entity relationship diagrams (ERD). My proficiency extends to working with various databases, such as Access, and both self-hosted and managed MySQL, PostgreSQL, NoSQL databases. Additionally, I have experience with CRM tools like Salesforce (Platform and Service Cloud) and Workday, as well as Service Management tools like FreshService, Zendesk, and Atlassian.

  • Digital M&E systems

    I've worked with a number of digital M&E systems both proprietary (DevResults, AmpImpact, Kinaki) and open source (ActivityInfo, DHIS-2, Activity) as well as custom developed tools like UNHCR's ProGres and PRIMES.

App Development / Data Handling

  • Frontend

    I am proficient in JavaScript and have experience in Vue and React frameworks, especially in the development of responsive, single-page applications (SPAs). I have created reusable components stored in a library alongside the styling to uphold our design system.

  • Backend

    I have experience working with Python for application development, utilizing Django/DRF and Flask. Additionally, I use Python for data-intensive tasks, employing packages such as Pandas and Matplotlib within Jupyter notebooks.

Monitoring and Evaluation

  • Theory of change / Results chain

    I have facilitated theory of change and result chain workshops in collaboration with project and M&E colleagues. I've created and crafted several logical frameworks that have received approval from project donors. I consistently incorporate standard indicators where possible and ensure all indicators adhere to the SMART criteria.

  • M&E activities

    Throughout my M&E experience, I've aligned my quality assurance measures with DAC Quality standards and routinely introduced verifiable data spot checks. I prioritize incorporating after-action reviews and lessons learned to foster adaptive project management. Additionally, I've devised and implemented third-party remote monitoring techniques in hard-to-reach areas and established mechanisms for handling complaints, feedback, and accountability.

  • Survey design

    Survey design is a crucial aspect for every M&E practitioner. I possess extensive expertise in crafting intelligent and succinct surveys, ensuring that the captured responses effectively address key questions asked. I try my best to challenge each question included in a survey to ensure it is only collecting relevant and timely data. My experience draws from developing intricate baseline/endline surveys to registration lists and post-distribution monitoring surveys with the aim to enable cross-project analyses.

  • Sampling

    I'm comfortable utilizing many various sampling techniques, such as Simple Random Sampling (SRS), cluster, and stratified randomization sampling. I have applied these skills in real-life settings both for quantitative evaluations and research experiments.

Statistical Analysis

  • Cleaning and preparing data

    I have training in advanced statistics and econometrics, enabling me to perform a variety of tasks related to dataset preparation and cleaning. These tasks include variable identification and post-collection cleaning, such as handling missing values and outliers through techniques like multiple imputation, as well as variable transformation.

  • Analysis

    For preliminary analysis, I can employ univariate and bi-variate analysis, ANOVA, and conduct cost-benefit analysis, including determining Social Return on Investment (SROI). Furthermore, my experience has equipped me with the expertise to manage and analyze different data set types—including Cross-sectional, Categorical, Time-Series, and Longitudinal/Panel Data.