Help & Supportcareers@gravityer.com
Data Analyst with 1+ years in Python & SQL
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.
Mount Kenya University
Bachelor of 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 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 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 ProjectCultural Fit Analysis
The candidate's project diversity, including AI-powered forecasting, house price prediction, and inventory data automation, shows a proactive and self-driven approach to learning and applying data skills. Their current role as a Business Analyst & Marketing professional, combined with previous customer success experience, indicates an ability to bridge technical and business domains, which aligns well with a data analyst role requiring stakeholder interaction. The breadth of skills listed (Python, SQL, ML, ETL, BI tools) suggests adaptability and a willingness to acquire new knowledge. However, the experience level is relatively junior for a senior role, and the projects are personal, which might indicate less experience in collaborative, production-grade environments.
Soft Skills & Operational Fit
The candidate demonstrates analytical thinking, problem-solving, and communication skills through project descriptions and professional experience. Their experience in customer success and business analysis suggests an ability to interact with stakeholders and understand business needs, which is valuable for operational fit in a data-driven role. However, the resume lacks specific examples of collaboration or leadership in team environments.