Odiwuor Benard
About Me
I have a Bachelor’s degree from Jomo Kenyatta University of Agriculture & Technology with 3 years experience in data collection and data management within a clinical research setting.
Working in data collection and data management setting drove me to pursue a career in data analysis and currently I am a certified Associate Data Analyst and a certified Business Analyst with skills in Excel, SQL, Tableau and Python.
I am also a freelance ALX certified virtual assistant with experience in data management, events planning and digital marketing.
Skills: Digital marketing, proficient in MS Office, quantitative & qualitative interviews, transcription and translation, and excellent interpersonal and communication skills.
Education
Jomo Kenyatta University
Data Camp
I was able to master Excel, SQL for querying databases, Tableau for data visualization and Python programming language. Currently I am Data Camp Certified Data Analyst.
Udacity
Udacity Certified Business analyst with skills in SQL, Excel and Tableau.
Work & Experience
AI-POWERED VC Deal Sourcing Externship
Paragon One/ IgniteXL
Researched and evaluated early stage start-ups in longevity tech to assess alignment with IgniteXL’s investment thesis. Utilized due diligence processes to evaluate 15 other deal submissions for alignment. Designed a summary document presenting key information to potential investors.
Research Assistant
University of Nairobi
Conducted interviews at the clinic using the REDCap tool. Assisted in data management: data collection, data entry, assessing accuracy of data, and reconciliation of erroneous data. The study has enrolled 2710 participants and over 90% of them have attained remission.
Research Assistant
She Deserves to Soar Organization
Participated in an assessment survey that targeted girls of age 10-19 years. The data was used in developing a curriculum that is currently used in training and mentoring young girls to help them overcome the challenges they are going through in life.
Research Assistant
Transparency International
The research involved quantitative data collection using the ODK tool and synched to an online database. The quantitative data was collected from the community at household levels.
