Help & Supportcareers@gravityer.com
Data Analyst with 1+ years in Business Intelligence & Machine Learning
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data-driven Computer Science graduate (Second Class Upper Division) with hands-on experience in business intelligence, data analysis, and enterprise system support. Proficient in Python, SQL, and data analytics, with practical experience in building forecasting models, automating data processes, and generating actionable insights. Strong background in ERP and IHMS systems, with the ability to translate business requirements into data-driven solutions, dashboards, and reports. Passionate about leveraging data to drive decision-making and improve system performance.
Kenya Certificate of Secondary Education
KCSE
N/A – Present
Mount Kenya University
Bachelor of Science in Computer Science · Computer Science
N/A – June 30, 2025
Hanmak Technologies Limited
Business Analyst & Marketing
February 1, 2026 – Present
India
Hanmak Technologies Limited
Customer Success Specialist (ERP & IHMS Systems)
June 1, 2025 – December 1, 2025
India
House Price Prediction System
June 17, 2026 – Present
Developed a predictive analytics system integrating Python ML models with a PHP frontend Processed and transformed datasets to generate accurate property price predictions Demonstrated data modeling, feature engineering, and deployment concepts
View ProjectAI-Powered Sales Forecasting System
June 17, 2026 – Present
Developed a machine learning-based forecasting system using ARIMA, LSTM, and Gradient Boosting Built automated data pipelines for data cleaning, preprocessing, and transformation Generated predictive insights to support inventory planning and business decision-making Simulated real-world analytics workflows including data ingestion, modeling, and reporting
View ProjectInventory Data Automation & ETL Process (Medicentre v3)
June 17, 2026 – Present
Designed and implemented automated data cleaning and import workflows using Python and Selenium Performed data validation, normalization, and transformation (ETL processes) Improved data quality and integrity through duplicate detection and batch validation Generated structured reports for data verification and system auditing
View ProjectCultural Fit Analysis
The candidate's project diversity, ranging from sales forecasting to house price prediction and inventory automation, shows a proactive and curious mindset. Their experience in both business analysis and customer success roles suggests an ability to bridge technical and business needs, which is valuable for team collaboration. The focus on data-driven decision-making and system improvement aligns with a results-oriented culture. However, the experience is primarily from a single company, and all listed projects are personal, which might indicate less experience in collaborative, large-scale data initiatives.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical thinking, problem-solving, and communication skills, which are crucial for a Data Analyst role. Their experience in stakeholder management and presenting findings aligns well with operational requirements. The background in customer success and ERP support indicates an ability to understand user needs and system constraints, contributing to a good operational fit.