MANISHA MANSINGH

Hello,

I'm Manisha Mansingh, a software developer based in Bangalore, India. My journey into the tech world began uniquely—

Graduating as an Electronics Engineer from IIIT Bhubaneswar in 2022, I found my passion in coding, influenced by my love for painting and DIY crafts. These creative pursuits led me to the dynamic world of software development, where creating and learning something new each day excites me.

As a backend developer for two years, I've delved into new technologies, enjoying the practical side of real-time applications. My dedication to growth is reflected in my continuous learning and personal projects, with this website showcasing my development skills.

Beyond work, I express my appreciation for life's beauty through drawing, inspired by natural landscapes. My unique blend of technology and creativity fuels my enthusiasm for tackling new challenges in the evolving tech world.

Work Experience

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Backend Developer, Inventory Planner Project

Anicca Data Sc. Solution PVT. ltd.

Developed a Demand forecasting software for TriMark

Feb,2023
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Backend Developer, McDonald's RFM Project

Anicca Data Sc. Solution PVT. ltd.

Part of McDonald's digital transformation. We upgraded their existing UI and database, integrating the latest technological advancements.

March,2022
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Intern, McDonald's Computer Vision Projectv

Anicca Data Sc. Solution PVT. ltd.

Analyzed McDonald's CCTV data with CVAT for serving time and rush hour insights.

Jan,2022

Projects

McDonald's RFM

1. Upgraded McDonald's database from legacy Oracle to PostgreSQL using Liquibase.
2. Deployed local PostgreSQL using Docker for simplified setup and management.
3. Utilized containerization for PostgreSQL to ensure consistency and isolation.
4. Implemented a scheduler task in Spring Boot for database synchronization.
5. Developed APIs for UI tasks using Java Gradle, maintained with Swagger for front-end compatibility.
6. Managed version control by deploying code to Git.
7. Maintained code quality standards using SonarLint.

JavaGradle PostgreSQL Liquibase Spring-boot

Inventory Planner

1. Analyzed data from 12 ERPs, preparing it for demand forecasting.
2. Tested various ML models using Python, accurately predicting sales for 10 weeks.
3. Implemented Airflow DAGs for automating data preprocessing and ML tasks.
4. Orchestrated model scheduling and execution, deploying Airflow locally via Docker.
5. Established a connection between Airflow and an S3 bucket for data management.
6. Maintained a GitHub repository for version control and DAGs documentation.
7. Ensured code quality standards using SonarQube.

Python SonarLint Docker Airflow S3bucket

Skills

Contact

I’m currently looking for any new opportunities and welcome any inquiries. Feel free to reach out to me for questions, introductions, or a simple hello—I'll make sure to respond promptly.