Hi I'm Jahid Hasan. As an experienced software engineer with a passion for developing cutting-edge technology solutions, I have a strong background in web application development, database management, and data analysis. My track record of success spans both junior and senior roles in the software development industry.
At Ludwig Pfeiffer, I honed my skills in web application development and database management using various tools, including Excel, SQL, Pandas, and Power BI. I'm also highly familiar with software development tools such as Microsoft Power Apps, SharePoint, Power Automate, Google AppSheet, Pipeline Inspection Robot, and QR code generators. I've worked with Django REST Framework and GraphQL.
At Tappware Solutions, I specialized in data analysis and pipeline development for e-governance solutions. I have extensive experience working with large-scale datasets, big data techniques, predictive model building, and machine learning web API implementation. I developed REST API for machine learning models using Django REST Framework and PostgreSQL.
At Qtec Solutions, I gained extensive experience in statistical and machine learning techniques, including web crawling, data pre-processing, web API, parsing HTML and XML documents, and web application development. I used predictive analytics, including machine learning, sentiment analysis, statistical modeling, and data mining techniques, to develop marketing strategies using MySQL and Excel. I also have experience with natural language processing and word embedding.
My passion for software engineering drives me to develop innovative solutions that improve people's lives. I'm always looking for new challenges and opportunities to learn and grow as a software engineer. If you're looking for a software engineer with diverse skills and a proven track record of success, please don't hesitate to contact me.
Year | Course Title | Organizer/Teacher | Host | Progress | Status |
---|---|---|---|---|---|
2022 | Deep learning | Stanford University | UFLDL Tutorial | --- | Self-paced |
2022 | Neural Networks for Machine Learning | University of Toronto | Coursera | --- | Starts on September 2022 |
2021 | Programming with R for Data Science | Microsoft | edX | --- | Ongoing |
2021 | Data Analytics for Life Sciences | Harvard University | edX | --- | Self-Paced |
2021 | Deep Learning | Udacity | --- | Self Paced | |
2021 | Intro to Statistics | --- | Udacity | --- | Self Paced |
2021 | Machine Learning | Georgia Tech | Udacity | --- | Self Paced |
2021 | Machine Learning : Unsupervised Learning | Georgia Tech | Udacity | --- | Self Paced |
2020 | Natural Language Processing in TensorFlow | DeepLearning.AI | Coursera | 100% | Completed |
2020 | Python for Beginners: Complete Python Programming | Phaninder | Udemy | 100% | Completed |
2020 | Applied Machine Learning in Python | University of Michigan | Coursera | 100% | Completed |
2020 | Convolutional Neural Networks in TensorFlow | DeepLearning.AI | Coursera | 100% | Completed |
2020 | Crash Course on Python | Coursera | 100% | Completed | |
2020 | Data Science | Yeva Hyusyan | Sololearn | 100% | Completed |
2020 | Introduction to Data Science | IBM | Cognitive Class | 100% | Completed |
2020 | Data Science Math Skills | Duke University | Coursera | 100% | Completed |
2020 | Machine Learning | University of Stanford | Coursera | 100% | Completed |
2020 | Python Core | Yeva Hyusyan | Sololearn | 100% | Completed |
2020 | SQL Course | Yeva Hyusyan | Sololearn | 100% | Completed |
2020 | Python (Basic) | Hasrishankaran K | HackerRank | 100% | Completed |
2020 | Machine Learning | Yeva Hyusyan | Sololearn | 100% | Completed |
2020 | SQL for Data Science | UC DAVIS | Coursera | 100% | Completed |
2019 | Automate the Boring Stuff with Python Programming | Al Sweigart | Udemy | 100% | Completed |
2019 | Python 101 for Data Science | IBM | Cognitive Class | 100% | Completed |
2019 | Machine Learning Foundations: A Case Study Approach | University of Washington | Coursera | --- | Ongoing |
2019 | Programming with Python For Data Science | Microsoft | edX | --- | Ongoing |
2019 | Introduction to Python For Data Science | Microsoft | edX | --- | Starting Soon |
2019 | Learning From Data | Caltech | edX | --- | Ongoing |
2019 | Introduction to R for Data Science | Microsoft | edX | --- | Self Paced |
2019 | Data Science Professional Project | Microsoft | edX | --- | Self Paced |
2019 | Principles of Machine Learning | Microsoft | edX | --- | Self Paced |
2018 | Learn The Linux Command Line: Basic Commands | Adam Eubanks | Udemy | 100% | Completed |
2018 | C++ in Detail: Common Idioms | Andrii Shostatskyi | Udemy | 60% | Completed |
2018 | Data Structures in C++ | Pedro Mercado | Udemy | 65% | Completed |
2018 | Data Structure and Algorithms Analysis - Job Interview | Hussein Al Rubaye | Udemy | 45% | Completed |
2018 | Cracking Coding Interviews - Mastering Algorithms | Christopher Chang | Udemy | 90% | Completed |
2018 | Learn MySQL - For Beginners | YouAccel Training | Udemy | 90% | Completed |
2018 | SQL Server for Beginners | Musavi Abdullah | Udemy | 90% | Completed |
2018 | Intro To SQLite Databases for Python Programming | John Elder | Udemy | 90% | Completed |
2017 | Basics of java programming language | krishnan c | Udemy | 100% | Completed |
2017 | An introduction to debugging C and Java | Nick Broom | Udemy | 90% | Completed |
2017 | Introduction to Algorithm Analysis [For Absolute Beginners] | Achala Chathuranga Aponso | Udemy | 90% | Completed |
2017 | C PROGRAMMING made easy | Meganadha Reddy | Udemy | 80% | Completed |
2017 | Basics of C programming for beginners | SAI KRISHNA GELLI | Udemy | 90% | Completed |
2017 | C++ Programming for Absolute Beginners. Newbie C++ Guide | Joey Anthony | Udemy | 90% | Completed |
2016 | C Programming:The best approach to learn C Language | Digitorious Technologies | Udemy | 80% | Completed |
2016 | Discrete Mathematics Online Course | Hammad Ali | Dimik Computing | 100% | Completed |
2016 | Complete C++ programming from Basics to Advance level | Muhammad Hamza Abdul Rehman | Udemy | 90% | Completed |
2016 | Introduction to Programming with Java - Part 1: Starting to Program in Java | Universidad Carlos III de Madrid | edX | 100% | Completed |
# | Name | URL |
---|---|---|
1 | A study on tracking faces and applying 2D masks on live camera feed | Complete |
2 | Car Number Plate Detection With Tensorflow | Under review |
Year | Description | Language/Framework | Status |
---|---|---|---|
2023 | Box Office India: Visualizing Top Movies | Beautifulsoup Streamlit Plotly | Complete |
2022 | AT Medical House | JavaScript MongoDB EJS | Complete |
2021 | Parcel Delivery Track System | Python Django Jinja | Complete |
2021 | Bootstrap Landing Page | Django HTML Python | Complete |
2021 | A QR Code Generator GUI APP | Python Tkinter Pillow | Complete |
2020 | Develop a Machine learning Predictive web app | Flask Pandas scikit-learn | Complete |
Numpy simplifies data manipulation with indexing and slicing in Python, ideal for scientific computing and machine learning.
Pandas is essential for data science, offering efficient data manipulation, analysis, and visualization.
Explain the basic concepts of machine learning with proper graph