Wasi Ul Islam Tasin

Wasi Ul Islam Tasin - |-| Wasi Ul Islam Tasin | Koeffingdaal Summary Detail-oriented and technically proficient professional with extensive experience in managing and optimizing IT operations. Skilled in ensuring system reliability, enhancing performance, and maintaining robust infrastructure solutions. Adept at implementing secure and efficient processes to safeguard organizational assets while maintaining operational continuity. Known for leveraging analytical and problem-solving skills to improve system efficiency and achieve business objectives. Proven ability to oversee end-to-end technical processes, ensuring seamless functionality in dynamic environments. Technical Skills Languages & Frameworks: Python, C#, ASP.NET Core/MVC, Entity Framework Databases: MS SQL, MySQL API Development: RESTful API design and integration. Tools & IDE: MS Office, VS Code, Anaconda 3, PyCharm System Integration: HRIS and Server integration including payroll Systems. Data Science & Reporting: Statistical analysis, Model development, and Reporting tools (Crystal Reports, MS Project). Experience Sr. Implementation Engineer Nov 2024 – Present Global MediKlaud (BD) Ltd Dhaka, Bangladesh • Collaborated with cross-functional teams to deploy and configure Hospital ERP Systems tailored to client requirements. • Conducted requirements gathering and gap analysis to align ERP functionality with hospital workflows. • Provided technical support during implementation phases, ensuring seamless system integration with hospital operations. • Maintained continuous communication with clients to provide updates and gather feedback during project execution. Implementation Engineer Apr 2023 - Nov 2024 hSenid Business Solutions PLC Dhaka, Bangladesh • Led the delivery of three flagship projects and contributed to ten additional initiatives for ”PeoplesHR.” • Developed 80+ reports with Crystal Reports, enhancing HRIS efficiency for clients like Evercare Bangladesh, Finlays Tea, and Genex Infosys. • Engineered a conditional alert system and automation processes in MS SQL and Job Scheduler for five HRIS clients. • Implemented customized processes for seamless integration within the HRIS ecosystem. Associate Technical Operations (Data) Feb 2021 - Apr 2023 ShopUp Dhaka, Bangladesh • Monitor and Maintain Data Systems: Ensure the stability, performance, and integrity of data systems by proactively monitoring and troubleshooting issues, optimizing system performance, and ensuring data availability. • Data Integration and Processing: Assist in the integration of data across multiple systems, ensuring smooth data flow, accurate processing, and seamless updates to internal databases and platforms. • Support Backup and Recovery Solutions: Collaborate with senior team members to implement and maintain data backup, recovery, and disaster recovery solutions to safeguard critical data and minimize downtime. • Documentation and Reporting: Maintain comprehensive documentation of data processes, systems configurations, and troubleshooting steps, and generate regular performance and operational reports for senior management. Education American International University-Bangladesh MSc, Computer Science & Engineering, Major in Data Science 2021 - 2023 American International University-Bangladesh BSc, Computer Science & Engineering 2017 - 2021 Certifications 1. 2. 3. 4. 5. Data Management and Analysis in Data Science Data Operations and Big Data Data Operations and Management Programming Foundations: Software Testing/QA Project Management Foundations: Small Projects Projects & Thesis 1. Fraud Detection • Description: Use transaction data to detect fraudulent activities by analyzing patterns and identifying anomalies. • Tools: Python (Scikit-learn, Isolation Forest), Python. 2. Movie Recommendation System • • Description: Build a recommendation system that suggests movies based on users’ past behavior or preferences using collaborative filtering or content-based methods. Tools: Recommendation Algorithms, Collaborative Filtering. 3. Data Mining Techniques for Fraud Detection in Financial Transactions September, 2020 American International University Bangladesh • Developed ML models using classification and clustering to detect fraudulent transactions in large financial datasets. • Applied feature engineering, data preprocessing, and evaluated models using accuracy, precision, and recall. • Addressed data imbalance using SMOTE for improved model performance. • Technologies Used: Python, Scikit-learn, Pandas, NumPy 4. Enhancing Image Classification Using Convolutional Neural Networks (CNNs) March, 2023 American International University Bangladesh • Applied Convolutional Neural Networks (CNNs) to improve image classification accuracy on a custom image dataset. • Experimented with various architectures (VGG16, ResNet) and techniques like data augmentation and transfer learning. • Achieved significant performance improvement using dropout, batch normalization, and fine-tuning pre-trained models. • Technologies Used: Python, TensorFlow, Keras, OpenCV, NumPy References Irfan Mohammed Abir Head of Business Operations, ShopUp-Omar Faruk Project Manager, hSenid Business Solutions PLC-