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Data Analyst, Data Entry, Office Machine Learning Software Development

Location:
Riyadh, Saudi Arabia
Posted:
July 21, 2025

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Resume:

MOHAMMED

KASHIF AAMER

OFFICE/ADMINISTRATION - DATA ENTRY CLERK

Fremont,

Wichita, KS. 67203

+1 (316) 300 - 3987

******.*******@*****.***

Click Here

OBJECTIVE

Motivated and detail-oriented computer science graduate with a strong foundation in programming, data analysis, and web development. Passionate about leveraging technical expertise and a problem-solving mindset to contribute to innovative projects in machine learning, software development, and IT systems management. Adept at learning new technologies and delivering high-quality solutions to complex challenges.

SKILLS

Programming: Python, C++, Java, Microsoft Office

Web Development: HTML, CSS, JavaScript

Database Management: MySQL, SQLite, Microsoft Excel

Machine Learning Frameworks: Scikit-learn, TensorFlow (Beginner)

Tools: Microsoft Office Suite, Jupyter Notebook, Spyder

EDUCATION

Wichita State University Wichita, KS

Master of Science -MS Computer Science

Relevant Coursework: Machine Learning, Data Structures & Algorithms, Artificial Intelligence, Database System.

Jawaharlal Nehru Technological University Hyderabad, India

Bachelor of Technology – Computer Science Engineering

Key Projects: Inventory Management System, Library Automation

EXPERIENCE

Data Input: Entering information into computer systems and databases, often from paper documents or other sources.

Data Verification and Correction: Checking for errors, inconsistencies, and duplicate entries, and correcting them as needed.

Database Maintenance: Ensuring that databases are up-to-date, accurate, and well-organized.

Report Generation: Creating and distributing reports based on the data they manage.

Filing and Record Keeping: Maintaining physical and electronic files and organizing documents.

Communication: Interacting with other departments or individuals to clarify data or resolve issues.

January 2024 - December 2024

Community Program Coordinator WSU Wichita, KS

Participated in the Wichita State University Community program with research projects in Educational Disparities and in Physical and Mental Wellness.

September 2021 - January 2023

Machine Learning Data Associate Amazon Hyderabad, India

Trained Alexa devices by annotating and classifying data, contributing to improved efficiency and reduced error rates.

Participated in multiple data processing pipelines, ensuring high-quality training data for machine learning models.

Demonstrated expertise in transcription, annotation, and goal success ratio metrics, achieving departmental performance benchmarks.

Proactively identified issues in data workflows, resulting in a 10% reduction in processing errors.

utilized advanced machine learning techniques and Data Optimizing Tools.

Enhanced Data integrity and efficiency for Alexa Devices.

September 2020 - August 2021

Computer Lab Assistant Shadan College Hyderabad, India

Provided technical support during laboratory exams, assisting over 200 students with system-related issues.

Managed and maintained computer systems by installing critical updates, configuring hardware, and troubleshooting technical problems.

Developed an inventory system for tracking and managing lab equipment, increasing operational efficiency.

Monitored and documented MAC/IP addresses for networked devices, ensuring secure and organized lab operations.

PROJECTS

Machine Learning Based – Prediction of House Prices

Objective: Developed a predictive model to estimate house prices based on various features such as location, materials, and facilities.

Tools Used : Python, Spyder, Pandas, Scikit-learn.

Process: Split dataset into training and test sets; trained regression models to predict prices; achieved 85% model accuracy.

Outcome: Delivered actionable insights for pricing strategies and property evaluation.

Inventory Management System

Objective: Designed and implemented a software system to manage inventory for a small business.

Tools: Java, MySQL, NetBeans IDE.

Features: Automated stock tracking, real-time notifications for

Low stock and detailed sales report.

Outcome: Reduced manual errors and improved inventory

Tracking efficiency by 30%.

SKILLS

Programming: Python, C++, Java

Web Development: HTML, CSS, JavaScript

Database Management: MySQL, SQLite

Machine Learning Frameworks: Scikit-learn, TensorFlow (Beginner)

Tools: Microsoft Office Suite, Jupyter Notebook, Spyder

INTERESTS

Machine Learning and Artificial Intelligence.

Software Development and System Optimization.

Web Design and Frontend Development.



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