Store & Supply Chain professional with hands-on experience in MOOWR warehouse operations, GRN creation, gate entry processing, and material reservation. Skilled in handling inward documentation, inventory tracking, and coordinating with warehouse teams to ensure smooth material flow.
Overview
1
1
year of professional experience
2
2
Languages
Work History
Graduate Engineer
Premier Energies Photovolotaic Private Limited
03.2025 - Current
Handling store inward activities including receiving, checking, and recording incoming materials.
Verifying delivery challans, invoices, and purchase orders during material receipt.
Preparing and maintaining inward registers and documentation for audit purposes.
Ensuring proper storage and labeling of materials in the warehouse.
Managing Supply Chain Management (SCM) activities related to material inward and warehouse coordination.
Creating and processing GRNs (Goods Receipt Notes) for received materials in the system.
Handling gate entry documentation for incoming and outgoing materials.
Performing material reservation in the system for production or internal department requirements.
Handling imported material inward processing and verifying documents such as Bill of Entry, invoices, and delivery challans.
Maintaining accurate records of bonded inventory as per customs and regulatory requirements.
Ensuring proper documentation and record maintenance for audit and compliance purposes.Coordinating with customs authorities and internal departments for smooth warehouse operations.
Education
Bachelor in Technology - Electronics And Communications Engineering
Aditya College of Engineering And Technology
Surampalem
04.2001 -
Diploma - Electronics And Communications Engineering
Pydah College of Polytechnic
Patavala
04.2001 -
SSC -
MGMC High School
Kakinada, India
04.2001 -
Skills
Manufacturing processes
Team collaboration
SAP MM / SCM
Python
MS Excel / MS Word/ MS PowerPoint
Electronics
Computer skills
Leadership
Self motivation
Time management abilities
Additional Information
Face Recognization using IOT Based Entry Lock System Using Raspberry PI
Developed an IoT-based smart door lock system using Raspberry Pi to enhance security through facial recognition technology.
Implemented real-time face detection and recognition to allow authorized users to access the system.
Integrated camera module and door lock mechanism to automate entry control.
Used Python programming and OpenCV library for image processing and face recognition.
Designed the system to capture, process, and verify facial data before granting access.
Improved security and monitoring capabilities compared to traditional lock systems.
Demonstrated application of IoT, embedded systems, and computer vision in security solutions.
Timeline
Graduate Engineer
Premier Energies Photovolotaic Private Limited
03.2025 - Current
Bachelor in Technology - Electronics And Communications Engineering
Aditya College of Engineering And Technology
04.2001 -
Diploma - Electronics And Communications Engineering