I have enjoyed a 10-year career as a math teacher. Now, I am planning a transition into data analytics. Even though I have succeeded in collaboratively implementing curricula and improving students test scores and university transition rate by about 45% yearly, I realized that the data analyst functions I perform as a Director of Studies are the most engaging and rewarding.As a director of studies, I manage various data analyst functions, including database administration, data entry and quality controls, analysis, interpretation, and reporting.Here are some details about my skills in data analysis:- To ensure 100% continuous operation, I monitored and validated school database users, analyzing and reporting performance trends.- I developed a remedial finances management system using Microsoft Access and optimized it to achieve 99% accuracy in data entry.- I spearheaded the digitization of departmental physical documentation systems to increase operational efficiency and reduce retrieval time to ~2 minutes.- I restructured school routines, monitored learning processes, and improved student performance by 22%.- I led a team of six heads of departments to design and implement a 5-year strategic plan that enabled the school to achieve the highest mean score in the 2019 national exams.I've always aimed for a data analyst role. Even though my math and statistics background equipped me with valuable skills for this exciting position, I have devoted myself in the last four years to gaining further knowledge and experience, completing various data analysis courses and certifications in Python, SQL, and R programming. Building professional relationships has been crucial in my past achievements. My ability to master complex data procedures will prove valuable in all my future endeavors. I am currently seeking a data analyst role, and if you would like to work together, feel free to connect via LinkedIn or contact me directly at dave.owino@gmail.com and +254 724 438296.Specialties:- Python (NumPy, Pandas, Matplotlib, Seaborn) - SQL (MySQL, PostgreSQL)- Excel- Looker Studio- Git- Google Spreadsheet - R- Data Collection- Data Quality- Data Engineering- Data Interpretation