B.sc in Computer Science

2018 - 2021

BANGLADESH UNIVERSITY, Dhaka, BD

Computer Science graduate from Bangladesh University, having completed 7 semesters of a 3-year program with a CGPA of 3.7. Experienced in software development and problem-solving with a strong academic foundation. Had to pause studies due to financial constraints, demonstrating resilience and determination to overcome challenges.

Diploma in Computer Technology

2011 - 2016

Dhaka Institute of Engineering & Technology(DIET), Dhaka, BD

Graduate of Dhaka Institute of Engineering & Technology (DIET) with a 4-year Diploma in Computer Technology, achieving a CGPA of 3.67. Proficient in various aspects of computer technology, blending practical skills with theoretical knowledge gained through hands-on training and academic coursework.

COURSEWORK

DOMAIN KNOWLEDGE

• Advanced Data Science
• Advanced Machine Learning
• Advanced Deep Learning
• Advanced Artificial Intelligence
• Advanced Python Programming

Skill Set:

• Front-end: HTML, CSS, JavaScript, Bootstrap.
• Back-end: Python, Django, Django Rest Framework (DRF).

  E-commerce project- GitHub:// rasel1435

• Data Manipulation and Analysis: Python, SQL, Pandas, NumPy, Data Cleaning, Exploratory Data Analysis (EDA).
• Data Visualization: Matplotlib, Seaborn, Plotly, Tableau.
• Mathematics and Statistics: Strong foundation in mathematical concepts and statistical analysis like probability, linear algebra, calculus, and statistics.
• Machine Learning (ML): Data Gathering, Features Engineering, Splitting, Model Choosing, Model Training, Model Evaluation, Prediction/Inference, Model Deployment, Supervised, Unsupervised, and Reinforcement Learning, Regression, Classification, Clustering.
• Neural Networks and Deep Learning (DL): Tensorflow, Keras, Scikit-learn
• Large Language Models (LLMs): Huggingface Transformers, OpenAI.
• Computer Vision: Image Processing, Object Detection, Image Classification.
• Natural Language Processing (NLP): Text Classification, Named Entity Recognition (NER), Sentiment Analysis.
• Software Engineering: Software Development Life Cycle (SDLC), Ethics and Fairness in AI.
• Big Data Technologies: Hadoop, Apache Spark.
• Cloud Platforms: AWS, Microsoft Azure, Google Cloud.
• Version Control: Git and GitHub.
• MLOps & Pipeline: MLflow, ZenML, Docker.
• Pipeline Orchestration: MLflow.
• Experiment Tracking: MLflow.
• Continuous Integration/Continuous Deployment (CI/CD): GitHub Actions.
• Model Deployment: MLflow, ZenML, Docker, Amazon SageMaker, Google Cloud, Microsoft Azure.
• Experimentation and Hyperparameter Tuning: A/B Testing, Hyperparameter Optimization.
• Database Service: s3, RDS, MySQL, MongoDB.

JOBDESK | Machine Learning Engineer

2022 - 2023

Sector-7, Uttora, Dhaka, BD

• Worked with the Big data creating a pipeline for ML Model. cleaning up noise datasets and visualise, API service
• I have used TensorFlow as a Framework.
• Scraped lots of job recruitment data from online.

TRAINING SUMMARY

EICONIK ACADEMY | Data Science & Machine Learning

2020 - 2021

Mohammadpur, Dhaka, BD

• Loading the data | collating Data | data pre-processing | data visualization | train-test splitting data | choosing algorithm | creating and deploying the model.
• System Design | MLOps.
• At the end of the course I have done lots of Data Science and Machine learning Projects here - GitHub:// rasel1435

MLGRIT | Generative AI Engineer

2023 - 2024

Bangalore, India

• Mathematics for Machine Learning and Data Science Specialization.
• Machine Learning Specialization.
• Deep Learning Specialization.
• Time Series, Sentiment Analysis, computer vision, and many effective projects I have done here. Feel free to check here - GitHub:// rasel1435

COURSERA | DS | ML | DL | AI

2023 - 2024

Coursera, USA

• Mathematics for Machine Learning and Data Science Specialization. - Certificate
• Data Science and Machine Learning. - Certificate
• Machine Learning Specialization. - Certificate
• Exploratory Data Analysis for Machine Learning. - Certificate
• Deep Learning Specialization. - Coming Soon

PROJECT

UBER TAXI DEMAND FORECASTING | AI Engineer

2023 - 2024

Bangalore, India

• A real-time automated platform forforecasting Uber hourly taxi demand will be developed as part of this project see the project here - GitHub:// rasel1435

Book Recommendation System | AI Engineer

2023 - 2024

Dhaka, BD

• Real-time Book Recommendation System for E-commerce Businesses. as part of my professional portfolio, I have successfully designed, developed, and deployed a real-time machine learning project: a Book Recommendation System tailored for e-commerce businesses. Leveraging advanced data processing techniques and machine learning algorithms, this system analyzes user behavior, preferences, and historical interactions to deliver personalized book recommendations in real-time. see the project here - GitHub:// rasel1435