Software Developer Machine Learning

MOHAMED SHAHABAS

*************@*****.*** +974-******** Doha, Qatar

https://www.linkedin.com/in/mohamed-shahabas-929b04151/ https://github.com/shahabas9 OBJECTIVE

Detail-oriented and results-driven Data Science Engineer and Software Developer with a proven track record of leveraging advanced analytical techniques, machine learning algorithms, and full-stack development skills to extract valuable insights from complex datasets and build robust applications. Demonstrated expertise in data modeling, statistical analysis, and software development, including the creation of customized ERP web applications using HTML, CSS, JavaScript, and PostgreSQL. Adept at integrating backend databases with dynamic user interfaces, managing data efficiently, and implementing real-time data handling. Seeking a challenging position to apply my comprehensive skill set to contribute to innovative solutions and drive business success. Committed to staying abreast of emerging technologies and continuously enhancing skills in both data science and software engineering for optimal problem-solving and decision-making.

EDUCATION

M.Tech - Mechatronics, Vellore Institute of Technology 2018-2020 Bachelor of Engineering - Automobile, Anna University 2012 - 2016 SKILLS

Technical Skills Python, Machine Learning, Data Analysis, Data Visualization, SQL, Computer Vision, Deep Learning, Git and GitHub MongoDB, Scikit-Learn, Numpy, Pandas, TensorFlow, Pytorch, Keras, NLP, Excel, Power BI, Tableau,JavaScript, HTML5, CSS, PostgreSQL Soft Skills Communication, Problem-Solving, Adaptability, Team Collaboration EXPERIENCE

Software Developer May 2024 - Present

Mezab Air Conditioning Doha, Qatar

• Designed and implemented a comprehensive ERP web application tailored to business requirements using HTML, CSS, JavaScript, and PostgreSQL.

• Created and managed PostgreSQL databases for efficient data storage and retrieval, ensuring data integrity.

• Designed and developed interactive and user-friendly web interfaces using HTML, CSS, and JavaScript, enhanc- ing user experience and accessibility.

• Implemented functionality for viewing, editing, and deleting records, including dynamic quotation ID manage- ment to track revisions and updates seamlessly.

• Integrated front-end web pages with PostgreSQL databases to fetch, display, and manipulate data in real-time, ensuring seamless data flow and consistency.

• Coordinated with stakeholders to gather requirements, provided regular updates, and ensured timely delivery of features, contributing to a collaborative and agile development process. Data-Science Engineer June 2022 - Feb 2024

Jidoka Technologies Chennai, India

• Building and delivering production grade AI based models for vision inspection.

• Writing scripts in Python for Image Analysis and Preprocessing.

• Labelling the images for model training by using CVAT.

• Technical support for the customers.

• Model testing and implementation at customer sites.

• Developed and implemented projects in Sansera Engineering pvt.ltd, Nexteer automotive, ITC Chennai, Hat- sun,SAC and WAGO.

Sales Analyst Aug 2020 - May 2022

AN Technologies Kerala, India

• Successfully analyzed sales data from multiple sources and identified key trends that contributed to improved sales performance.

• Created daily, weekly, and monthly reports to monitor sales performance and identify areas of improvement.

• Established a comprehensive process to track, measure, and report on sales activities and results.

• Coordinated with the marketing team to create effective sales campaigns.

• Implemented effective strategies to increase customer engagement, resulting in higher sales conversion rates. PROJECTS

Delivery Time Prediction. Developed a Machine Learning model for delivery time prediction with an accuracy of 82 percent,utilizing Python, Numpy, Pandas, Scikit-Learn, Flask, DVC, and GIT. Conducted comprehensive Exploratory Data Analysis (EDA) to extract insights,Employed strategic Feature Engineering, enhancing model accuracy, integrated the model into a Flask web application,providing a user-friendly interface and implemented Data Version Control (DVC) and GIT for efficient project management. Diamond Price Prediction. I spearheaded a pivotal Diamond Price Prediction project, implementing a highly accurate Linear Regression model with a remarkable 93 percent accuracy rate. The seamless deployment of this predictive model in a production environment on Azure showcased my proficiency in real-world application integra- tion. Employing a comprehensive tech stack encompassing Python, Numpy, Pandas, Scikit-Learn, and Flask, I ensured the development of a robust and scalable solution. To enhance collaboration and streamline development, I implemented effective Continuous Integration/Continuous Deployment (CI/CD) processes on GitHub, demonstrat- ing my commitment to efficient teamwork. Furthermore, my adept use of GIT resources underscored strong version control practices, contributing to a well-maintained and collaborative codebase. This project serves as a testament to my expertise in data science, engineering, and the end-to-end development lifecycle. SAC OD and Dimension. Leading the identification of engine tappet valve component dimensions, employing advanced object detection with TensorFlow 2 architecture to identify defects and damages. Utilizing Python and OpenCV for image preprocessing, ensuring the robustness of the analysis. PLASTIC OMNIUN INERGY RANIPET. Successfully executed a Proof of Concept for Plastic Omnium Inergy Ranipet, focusing on detecting bubbles in water tanks for fuel tank leak inspection. Leveraged Faster R- CNN in conjunction with two Basler 6MP cameras, achieving an outstanding 100 percent sensitivity and 90 percent specificity. This project underscores my proficiency in computer vision and image processing techniques, contributing to precise and reliable defect identification

PERSONAL INFO

• DOB : 18/01/1994

• visa status : Resident visa

• Languages : English, Hindi, Tamil, Arabic, Malayalam

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