Pooja A.

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Pooja A.

COO - HR

Ahmedabad, Gujarat, India

Experience
Total: 11 years and 10 months, Just Codify: 10 years

Education
Master of Computer Application (MCA)

Tools & Technologies:
Industries:
Summary

Operational Strategy: Turning business goals into actionable, data-driven execution plans.
Technology Operations Leadership: Overseeing software delivery, IT infrastructure, DevOps, and support.
Process Optimization: Streamlining workflows, reducing technical bottlenecks, and improving throughput.
People & Culture: Developing high-performing engineering and operations teams.
Financial & KPI Oversight: Managing operational budgets and improving ROI across tech initiatives.
Scalability: Building systems that enable rapid, sustainable growth.
Risk & Compliance: Maintaining security, reliability, and governance frameworks.

Latest Best Projects


Project: Mavros – ERP Implementation, Customization, and Support - Mavros Ltd., Cyprus

Role: Tech Lead

Team Size: 2

Duration: Oct, 2015 - Dec, 2021 (6 years and 2 months)

Overview: Mavros – ERP Implementation, Customization, and Support unified accounting, inventory, and eCommerce with Odoo, creating a scalable system for efficiency.

Tools & Technologies: Amazon Web Services | Odoo | Python

Work/Responsibility: This project includes accounting, inventory and ecommerce website implementation, customisation and support.

Project: Sales Forecast – Demand Prediction, ERP Integration, and Analytics Platform - Mavros Ltd., Cyprus

Role: Tech Lead

Team Size: 2

Duration: Oct, 2018 - Jan, 2019 (3 months)

Overview: A smart forecasting platform that predicts weekly, monthly, and yearly sales using ERP data, helping businesses plan inventory, optimize orders, and improve sales decisions.

Tools & Technologies: .NET | Amazon Web Services | MySQL | Odoo | Python Visual Studio

Work/Responsibility: This project is a web-based platform designed to forecast yearly, monthly, and weekly sales for selected products. The platform helps the sales team place orders more effectively based on the forecasted demand. It is integrated with the existing ERP system, where sales data from the ERP is periodically sent to the forecasting platform for analysis.

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