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Mahmodul Hasan

@mahmodulhasan1

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Data scientist focused on machine learning, forecasting, and applied model development.

Bangladesh

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What I'm looking for

I am seeking an entry-level role in data science or ML where I can apply modeling skills, deliver forecasting/insights, and grow through practical projects and mentorship.

I am a data scientist with a BSc in Computer Science and Engineering from Daffodil International University, focused on machine learning and applied predictive modeling.

I have built projects using classification, regression and CNN models, including tomato disease detection via transfer learning, Walmart sales forecasting, heart disease identification, and laptop price prediction.

My technical toolkit includes Python, NumPy, Pandas, Scikit-learn, TensorFlow/Keras, PyTorch, Matplotlib/Seaborn, MySQL and Power BI, which I apply to data cleaning, feature engineering and model deployment.

I pursue continual learning through targeted trainings such as Data Science & Machine Learning with Python and Zero to Mastery-style coursework, and I seek roles where I can deliver business impact through robust, reproducible ML solutions.

Experience

Work history, roles, and key accomplishments

Data Science Intern

Daffodil International University

Jan 2019 - Dec 2022 (3 years 11 months)

Completed machine learning and data science projects including tomato disease detection with transfer learning, sales forecasting, heart disease classification, and laptop price regression while applying CNNs and classical ML models.

Python NumPy Pandas scikit learn TensorFlow Keras PyTorch SQL Data Visualization

Education

Degrees, certifications, and relevant coursework

Daffodil International University

Bachelor of Science, Computer Science and Engineering

2019 - 2022

Grade: CGPA 3.39/4.00

Activities and societies: Worked on projects including tomato disease detection by transfer learning, Walmart sales forecasting, heart disease identification, and laptop price prediction.

Completed Bachelor of Science in Computer Science and Engineering with a CGPA of 3.39 out of 4, focusing on data science and machine learning projects.