Atikul Islam Sajib

2+ years experienced ML engineer as well as Research Assistant with proven success in building successful algorithms & predictive models for the industries. Highly adept at clustering & classification in ML, and DL to increase business efficiency. Passionate engineer & thriving analyst with the ability to apply ML techniques & algorithms, for instance, Logistic Regression, SVM, Decision Tree, Random Forest, Adaboost, GradientBoosting, XGboost development to solve real-world business problems. Experience of 15+ of Data Science projects. Solved a couple of business problem using Machine Learning, Deep Learning - ANN, CNN with respective to domains and deployed on clouds platforms and edge devices.

• Research Assistant ( April, 2019 - February, 2021 ) United International University, Bangladesh
Lab: Bioinformatics and Machine Learning Lab
Responsibilities:
-Prepare, maintain, and update the materials of projects.
-Demonstrate knowledge owing to programming interface development and testing.

• Machine Learning Engineer ( January, 2021 - February, 2022 ) Againsoft - Way of Innovation, Bangladesh
Responsibilities:
-Build predictive models using various Machine Learning tools to predict the model.
-Design the existing algorithms and execution to fit the models and make those generalised.
-Develop algorithms using Natural Language Processing and Deep Learning models for predictive mainte- nance

• Programming Language: Java, C/C++, Python, Julia, R, PHP • Markup Language : HTML, LaTex, Markdown
• Database : MySQL, MongoDB
• Operating Systems: Linux (Ubuntu), Microsoft Windows
• Source Control: Git
• Text Editor/IDE: Visual Studio Code, Sublime Text, Intellij IdeaA, Jupyter Notebook, Google Colab Pro • Machine Learning: Scikit-learn, Numpy, Pandas, Seaborn, Matplotlib, PySpark
• Deep Learning: TensorFlow, Keras
• Language Proficiency: English (Advanced), Bengali (Mother Tongue)