Jenne Kamara

Jenne M. Kamara Passport: B- Work permit: Nigerian (Nigeria) Nationality: Nigerian (Nigeria) Date of birth: 24/04/1996 Place of birth: Abuja, Nigeria  Phone number: (-  Email address:- WhatsApp Messenger: -  LinkedIn: www.linkedin.com/in/jenne-kamara-b  Website: https://www.datascienceportfol.io/jennekamara  Home: House 12, Zone 1 Dutse-Alhaji, 901101 Abuja (Nigeria) ABOUT ME Results-driven data professional with a keen eye for detail and a passion for uncovering actionable insights. Proven track record of leveraging Excel, SQL, Python, Power BI, Tableau, and Looker to analyze complex datasets, drive business decisions, and optimize processes. Team-oriented with a strong focus on collaboration and adaptability, consistently delivering reliable results and strategic insights in dynamic environments. WORK EXPERIENCE  Palladium – Abuja, Nigeria City: Abuja | Country: Nigeria Data Analyst [ 03/07/2023 – Current ] • Foster collaboration with cross-functional teams USAID, Federal Ministry of Health, to identify data requirements, design and implement new data collection methods, improving overall data quality. • Conduct performance tracking of key HIV/AIDS indicators using SQL and Excel; insights contributed to strategic health interventions. • Standardized and cleaned multi-source datasets using Python, enabling accurate statistical analysis and improved workflow automation. • Developed automated Power BI dashboards to monitor ARV drug dispensation and patient treatment outcomes, optimizing reporting efficiency and visibility. • Contributed to improved patient outcomes by identifying gaps in care provision through targeted analysis of patient records.  Mercy Corps – Portland, United States City: Portland | Country: United States Data Analyst [ 01/08/2022 – 30/06/2023 ] • Collected, integrated, and cleaned incident and risk-related data from multiple sources into structured formats using Excel, SQL, and Python. • Provided actionable insights through comprehensive Power BI dashboards and reports that visualized key operational risk metrics (e.g., incident frequency, risk ratings), enhancing executive decision-making. • Automated reporting processes using Power Query, Pivot table and DAX, reducing manual efforts and improving data refresh efficiency. • Developed and maintained data pipelines for seamless flow of information, ensuring timely availability for decision-making. • Ensured data integrity and consistency by establishing validation checks and cleansing routines which improved data governance practices, ensuring compliance with regulatory standards and internal policies.  Management Edge Limited – Abuja, Nigeria City: Abuja | Country: Nigeria Data Entry Specialist [ 03/04/2016 – 31/07/2022 ] • Managed the security incident database and was able to produce a global trend dashboard that was critical to decision making on the safety and security of Mercy Corps over 6000 workforces. • Received raw data from 40+ countries and follow up with individual countries, conducted research, gathered information from multiple sources to ascertain data validation. • Reviewed existing database against previous year’s reports for commonalities and produce a consolidated data with Google sheet and SQL for data cleaning, mining and exploration. • Prepared a dashboard with Power BI and Pivot table and draft out reports for each region and a consolidated report shared to the Executive team. • Created spreadsheets using Microsoft Excel and Google sheet for daily, weekly and monthly reporting. • Merged and archived data with existing data sets for documentation and future reference on SharePoint. EDUCATION AND TRAINING PGD Information Technology National Open University of Nigeria [ 2023 – 2024 ] City: Abuja | Country: Nigeria | Website: nou.edu.ng Bachelors in Statistics Ahmadu Bello University Zaria [ 2011 – 2016 ] City: Zaria | Country: Nigeria | Website: abu.edu.ng Google Cloud Data Analytics Certificate Google [ 2024 ] City: Abuja | Country: Nigeria Complete SQL Bootcamp ZTM Academy [ 2023 ] City: Abuja | Country: Nigeria Microsoft Azure Data Fundamentals Microsoft [ 2021 ] City: Abuja | Country: Nigeria | Website: www.microsoft.com SKILLS MS Excel (Pivot Tables, Vlookups, Nested If Statements) / SQL / Python / Tableau / Power BI / Looker / Business Intelligence / Data cleaning / Data modeling / Data Analysis / Data Management / Data Privacy & Governance / MSSQL / PostgreSQL / ETL / CI/CD pipeline(jenkins, ansibel, maven, shell script, DSL, docker, pipeline) / Analytical skills / Problem solving / Detail-oriented / Team collaboration PROJECTS Power BI HR Analytics Dashboard - Microsoft Fabric • Built a complete data pipeline (Lakehouse, Dataflow gen2, SQL Analytics) to analyze employee churn rates. • Developed scalable Power BI dashboards to monitor trends and inform strategic HR decisions. Link: https://medium.com/@jennekamara3/simple-end-to-end-microsoft-fabric-project-with-data-pipeline-anddataflow-gen2-f906d2767dff E-Commerce Sales Dashboard - Google Cloud, BigQuery & Looker • Processed and modeled e-commerce data using BigQuery. • Developed an intuitive dashboard analyzing KPIs and trends via Looker Studio. • Delivered actionable business insights and optimized data pipeline workflows. Link: https://medium.com/@jennekamara3/google-cloud-data-analytics-project-with-bigquery-and-lookerstudio-8567d302fdfd LANGUAGE SKILLS Mother tongue(s): English Other language(s): French LISTENING A1 READING A1 WRITING A1 SPOKEN PRODUCTION A1 SPOKEN INTERACTION A1 Levels: A1 and A2: Basic user; B1 and B2: Independent user; C1 and C2: Proficient user PUBLICATIONS [2024] Monitoring trends in mother-to-child transmission of HIV in Nigeria: A retrospective six-year study A retrospective study was conducted using aggregate data from 539 primary, secondary, and tertiary healthcare facilities across 17 states in Nigeria between July 2017 to September 2022. The analysis focused on the infants exposed to HIV (IEH) (IEH load) and the proportion of those infants with a documented HIV status (transmission rate). The transmission rate was assessed across both urban and rural population settings. Inferential statistics (Kendall’s Tau correlation and Kruskal-Wallis H Test) were employed to determine the correlation between the transmission rate, the service level (primary, secondary, and tertiary), and IEH load. Authors: I.Abah, L.Nyang, J.Kamara | Journal Name: AIDS2024 [2024] Possible ongoing HIV transmission in Nigeria: An exploratory analysis of HIV Recent Testing data. A retrospective analysis was conducted utilizing aggregate data from 17 Nigerian states spanning the period of July 2020 to September 2023. The study centred on several key metrics, including the count of newly identified individuals living with HIV who underwent a rapid test for recently acquired HIV, the subset of clients who underwent viral load testing (VLT) for confirmation, and the tally of clients with confirmed recently acquired HIV (defined as recently acquired HIV within a one-year timeframe). Authors: I.Abah, L.Nyang, J.Kamara | Journal Name: AIDS2024