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Imamul Kadir

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Experience

Filing Lead

June 2024 to till date

  • Manage and maintain workloads with accurate and relevant information.
  • Developed an automation tool to simplify the filing process.
  • Created a PWA to analyze client data and provide insights.
  • Assign tasks fairly to optimize team productivity.
  • Review and submit files to the SEC on time, meeting requirements.
  • Train new team members, assign tasks, and monitor their work.
  • Help team members solve issues for a smooth filing process.
Assistant Team Lead

September 2023 to May 2024

  • Oversaw the management of critical workloads with accuracy.
  • Coordinated task assignments to ensure fair distribution.
  • Reviewed and submitted files to the SEC on time and accurately.
  • Trained new team members, organized tasks, and tracked efficiency.
  • Supported team members and resolved issues for smooth operations.
Filing Specialist

March 2021 to August 2023

  • Converted Word documents into web pages for U.S. banks.
  • Reviewed and edited files for consistency with originals.
  • Ensured accuracy and compliance during file reviews.
  • Converted and edited files for SEC submissions.
  • Submitted files to meet regulatory requirements.
Analyst - Business Development

November 2020 to February 2021

  • Analyzed data to generate insights and provide data-driven recommendations.
  • Communicated daily with U.S. clients to meet expectations.
  • Handled property preservation tasks for bank-mortgaged properties.
  • Ensured timely maintenance and reporting for client-managed properties.
  • Collaborated with teams to streamline processes for property preservation.

Education

Bachelor of Science (B.Sc.)

Major: Computer Sceince & Engineering
Institution: Daffodil International University
Class of: 2020

Higher Secondary Certificate (H.S.C)

Group: Science
Institution: Notre Dame College
Class of: 2014


Publication

Bangla Music Genre Classification Using Neural Network

Published in System Modeling and Advancement in Research Trends (SMART), Moradabad, India (IEEE) on 22nd November 2019.

DOI: 10.1109/SMART46866.2019.9117400
aEye: Safe navigation in Footpath for Visually Impaired Using Computer Vision Techniques |Undergraduate Thesis|

A smart system for visually impaired individuals in Bangladesh, using optimized U-Net and YOLOv3 to identify safe footpaths, detect obstacles, and estimate distances with 96% accuracy.

Details: aEye

Projects

  • InnoForge - A platform for innovation and collaboration.
  • HTML_CC - A custom HTML content generator for web applications.
  • NextJS CRUD - A simple CRUD application built with Next.js.
  • NextJs Ecommerce - An eCommerce platform built with Next.js and React.
  • Covid19 Self Assessment - A web application for self-assessing COVID-19 symptoms.
  • React Weather App - A weather app built with React and a weather API.
  • Text Recognition Using ML Kit - Text recognition application using ML Kit for Android.
  • Students & Employee Attendance System - A system for tracking student and employee attendance.
  • aEye Web - A web-based project for aiding visually impaired navigation.
    • Explore more projects on my GitHub profile