My name is Bakhodir, and I have extensive experience in programming languages such as Python, Packet Tracer, DevNet, and SQL. I am proficient in various Python libraries, including Numpy, Pandas,
อาชีพ
โพสต์
สรุปอาชีพโดย AI
알라여러브바허디르님은 Python, Packet Tracer, DevNet, SQL 등 다양한 프로그래밍 언어에 능숙하며, Numpy, Pandas 등 Python 라이브러리 활용 경험이 풍부합니다. The Sparks Foundation 및 Technocollabs softwares에서 Machine Learning Engineer로 근무하며 데이터 시각화, 예측 및 분류 모델 훈련, EDA 등 머신러닝 프로젝트를 수행했습니다. 또한, Inha University에서 Software Engineer Intern으로 로보틱스 및 ROS 관련 경험을 쌓았습니다.
- Obtained several ways to present the project, ideas in visualizing the data
- Developed LinkedIn profile by supporting each other in group(it was one of the tasks of the intern)
- Worked on a Machine Learning project for the company on various domains (eligibility for credit or debt) of tasks such as Collaborative Filtering Algorithms, Sparx Metrix Classification models, Data Manipulation, Neural Network techniques like CNN Layer, Model Training, and Deployment -
Technologies: Numpy, Pandas, Matplotlib, Seaborn, Sklearn, Tensorflow, Data Leakage , Pipelines, XGBoost, Unsupervised/Supervised learning
-Using a turtle robot to learn the self-driving process
-Connecting the master(computer) to its slave(robot) and draw insights.
-Learning noetic generation of ROS
-Improving experience in robotics, working in ubuntu, understanding the are also parts of the project
In this internship my job was to create two models. Especially, I had to clear a data and prepare to machine learnig part. We did everything with the group, and everyone tried to do the same task but we chose only one and best model to present.
-Trained prediction and classification models for the investors and mobile applications with different ML and DL algorithms.
-Technologies: Numpy, Pandas, Matplotlib, Seaborn, Sklearn, Tensorflow
- Did Exploratory Data Analysis (EDA), understood the data by uncovering patterns, distributions, and relationships, which informs the selection and implementation of appropriate algorithms for the task,
•Project Link: https://github.com/BahodirML/ML_Projects/blob/main/Customer_churn.ipynb
- Obtained several ways to present the project, ideas in visualizing the data
- Developed LinkedIn profile by supporting each other in group(it was one of the tasks of the intern)
- Worked on a Machine Learning project for the company on various domains (eligibility for credit or debt) of tasks such as Collaborative Filtering Algorithms, Sparx Metrix Classification models, Data Manipulation, Neural Network techniques like CNN Layer, Model Training, and Deployment -
Technologies: Numpy, Pandas, Matplotlib, Seaborn, Sklearn, Tensorflow, Data Leakage , Pipelines, XGBoost, Unsupervised/Supervised learning
자격증
Invitation for internship
2023년 9월
n this internship my job was to create two models. Especially, I had to clear a data and prepare to machine learnig part. We did everything with the group, and everyone tried to do the same task but we chose only one and best model to present.
-Trained prediction and classification models for the investors and mobile applications with different ML and DL algorithms.
-Technologies: Numpy, Pandas, Matplotlib, Seaborn, Sklearn, Tensorflow
- Did Exploratory Data Analysis (EDA), understood the data by uncovering patterns, distributions, and relationships, which informs the selection and implementation of appropriate algorithms for the task,
•Project Link: https://github.com/BahodirML/ML_Projects/blob/main/Customer_churn.ipynb
프로젝트
Diabet diagnosis
2023년 6월 - 2023년 6월 · 1개월
Diabet classification
•Used Convolutional layers for classification of big amount of data and deployed the trained model t
•Used a data from KAGGLE about people who got a diagnosis on diabetes
•Project Link: https://github.com/BahodirML/ML_Projects/blob /main/Diabet_diagnose.ipynb
프로젝트
Diabet diagnosis
2023년 6월 - 2023년 6월 · 1개월
Diabet classification
•Used Convolutional layers for classification of big amount of data and deployed the trained model t
•Used a data from KAGGLE about people who got a diagnosis on diabetes
•Project Link: https://github.com/BahodirML/ML_Projects/blob /main/Diabet_diagnose.ipynb
프로젝트
Picture detection
2019년 5월 - 2023년 5월 · 4년 1개월
Picture classification
•Trained picture classification model based on leaning tons of pictures in deep learning
•Annotated images with python code and could achieve accuracy over 95%.
•Project Link: https://github.com/BahodirML/ML_Projects/blob/main/Salary_classification.ipynb
ภาษา
러시아어
상급 (업무상 원활한 의사소통)
한국어
중급 (업무상 의사소통)
영어
중급 (업무상 의사소통)
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