Freelancer profile translated to English.
Back to original languageAbout Manohisoa Sarobidy
Do you spend hours each week copying and pasting data between your different tools? Does your invoicing, inventory management, or lead tracking still rely on complex and time-consuming Excel files?
I help youautomate your business processesandleverage your dataso you can focus on what truly matters: growing your business. Specifically, I translate your business challenges into smooth, efficient, and profitable IT solutions.
Malagasy
Native or bilingual
French
Native or bilingual
English
Fluent
Remote only
Primarily works remotely
Experience
- Cousourcing AnatananrivoFull Stack DeveloperApril 2025 - Today (1 year and 3 months)Tananarive, MadagascarI am currently managing two major projects with a direct impact on the company's HR and financial processes:Time Management Application (Time Tracking): Complete management of specifications, development, and production deployment of a time tracking web application. Managed features: time tracking, absence management, public holiday integration, and employee registry administration.Payroll and Social Declarations Management Application: Led the development project for a payroll management system. Critical features: payslip generation, management of all company social contribution and tax declarations.
- Kontiki serviceData Analyst & Full Stack DeveloperSeptember 2022 - March 2025 (2 years and 6 months)Tananarive, Madagascar
- Automated extraction and transformation of marketing data with Python and Airflow
- Optimization of SQL queries to improve processing performance on large data volumes
- Creation of interactive dashboards to visualize KPIs and geospatial analyses
- Integration of Python scripts on the Expertsender marketing platform
- Statistical analyses and hypothesis testing to guide business decisions
- Mvola Antananarivo,Data Scientist InternJune 2022 - August 2022 (2 months)Tananarive, MadagascarCompany focused on mobile bankingDevelopment of machine learning algorithms to predict user behaviorImplementation of a customer churn prediction model with 85% accuracyAnalysis of massive data to identify trends and business opportunitiesFraud detection in transactionsDatabase segmentation
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