I'm Jabir Ghaffar, a dedicated data scientist with a passion for using R to transform data into insights. Over the past few years, I've gone through intensive training, internships, and teaching experiences, each of which has honed my skills in data manipulation, visualization, teaching, and communicating with AI.
I embarked on an intense 3-month data science training program where I:
- Scraped data from the web using various tools and techniques.
- Manipulated and transformed data into a tidy format for seamless analysis.
- Created comprehensive visualizations that told a clear story.
- Developed the ability to explain complex data concepts to non-technical audiences.
- Was 1 of only 2 people, out of 7, who successfully graduated from the rigorous program.
I joined Posit for an 11-month internship focused on R programming:
- Contributed coding solutions to 16 chapters of the published book R for Data Science.
- Tackled real-world problems, creating efficient and reproducible R code.
- Worked closely with the Posit team to support their mission of enhancing data science education.
This year, I served as a teaching assistant, where I:
- In-Depth R Instruction: Helped students gain a deep understanding of R, focusing on data manipulation and visualization techniques.
- Adaptable Teaching Style: Adjusted my teaching methods to meet each student’s individual learning needs, ensuring everyone could grasp the key concepts.
- Student Guidance: Assisted students in analyzing wealth and equity data among different ethnic groups in America, providing one-on-one support to enhance their analytical thinking and attention to detail.
Currently, I am working as an intern with CMS (Centers for Medicare & Medicaid Services), where I apply my data science skills to real-world healthcare data.
In addition to my data science expertise, I have developed strong skills in communicating with AI systems:
- AI Prompt Engineering: I am skilled in crafting detailed prompts that enable AI systems to understand and deliver precise responses, enhancing human-AI interaction.
- AI Communication: I understand how to effectively communicate with AI systems, optimizing the clarity and depth of instructions to achieve better outcomes from AI models.
- Programming Languages: R
- Data Manipulation: Tidyverse, dplyr, tidyr
- Data Visualization: ggplot2, plotly
- Web Scraping: rvest, httr
- AI Communication: Prompt engineering, human-AI interaction
- Teaching: In-depth R instruction, Adaptable teaching styles, Personalized student support
- Communication: Translating technical concepts for non-technical audiences
- Intern at CMS, working on healthcare data analysis
Feel free to explore my repositories to see how I put these skills to work in real projects.