Amarendra Singh

Python Developer

+91-926******* adzr57@r.postjobfree.com https://www.linkedin.com/in/amarendra- singh137297217

Skills OS: Linux, Windows

Programming Essentials: PYTHON, C, OOPs, DEBUGGING, EXCEPTION HANDLING, CLEAN CODING,PYTHON SCRIPTING, SHELL SCRIPTING

Technologies/Framework: HTML, CSS, JAVASCRIPT, DJANGO, REST API Database: MongoDB, MySQL, SQLIT3

Tools: Git, Postman, Vs code

Experience WHITE-FORCE OUTSOURCING PRIVATE LIMITED

23 MARCH 2022 – PRESENT Python Developer Jabalpur, India I HAVE 11 MONTH EXPERIENCE AS PYTHON DEVELOPER IN WHITE-FORCE OUTSOURCING PRIVATE LIMITED Description:

● Develope and maintained a range of Python-based applications for various clients, including web scrapers, data analysis tools, and machine learning model.

● Implemented best practices for coding, testing, and version control using Git.

● Collaborated with cross-functional teams to analyze business requirements, design solutions, and deliver high-quality software.

● Contributed to the development of internal tools and processes, including the implementation of continuous integration and deployment pipelines.

● Work on Python Scripting Django framework based Self Service Portal for Event Management enhancements to web interface and develop new capabilities along with API development.

Project Title1: Resume Parsing Project

Description:

● Developed a machine learning model to extract and classify information from resumes using Python, scikit-learn, and TensorFlow.

● Implement natural language processing techniques using the NLTK library.

● Developing a machine learning model to extract and classify information from resumes, such as job titles, skills, and education.

● Implementing natural language processing techniques to handle synonyms, abbreviations, and variations in formatting.

● Trained the model on a dataset of annotated resumes, achieving an F1 score of 0.95 for job title extraction and 0.88 for skill extraction.

● Used the model to build a resume parser tool that could automatically extract and organize information from resumes, saving time and improving accuracy in the recruitment process. Using tool and technologies:

1. HTML

2. CSS

3. JAVASCRIPT

4. BOOTSTRAP

5. PYTHON

6. DJANGO

7. MACHINE LEARNING

8. SQLITE3

9. VSCODE

10. GIT

Project Title2: JD Parsing Project

Description:

● Developing a machine learning model to extract key information from job descriptions using Python and natural language processing techniques.

● Implement the model as a web application, allowing users to input job descriptions and receive a structured output of key information.

● Utilized Python libraries such as scikit-learn and NLTK to preprocess and analyze the text data.

● Trained the model on a dataset of annotated JD achieving an F1 score of 0.95 for job title extraction and 0.88 for Tool and technologies extraction.

Using tool and technologies:

1. HTML

2. CSS

3. JAVASCRIPT

4. BOOTSTRAP

5. PYTHON

6. DJANGO

7. MACHINE LEARNING

8. SQLITE3

9. VSCODE

10. GIT

Project Title3: JD and Resume Matching Project

Description:

• Developed a tool using Python to match job descriptions with resumes based on relevant keywords and phrases.

• Utilized natural language processing techniques and machine learning algorithms to improve the accuracy of the matches.

• The tool helped streamline the recruitment process and increased efficiency for the human resources team.

• This description provides an overview of the project, including the key technologies and techniques I used, as well as the benefits of the tool.

• The number of job descriptions and resumes that were successfully matched using this tool

• The time savings or efficiency improvements that were achieved as a result of using the tool

• The impact of your tool on the recruitment process, such as the number of candidates that were interviewed or hired

• Any feedback or testimonials from team members or stakeholders who used the tool

• Developed a tool using Python to match job descriptions with resumes, resulting in a 50% increase in the number of successful matches and a 30% reduction in the time needed for the recruitment process

Using tool and technologies:

1. HTML

2. CSS

3. JAVASCRIPT

4. BOOTSTRAP

5. PYTHON

6. DJANGO

7. MACHINE LEARNING

8. SQLITE3

9. VSCODE

10. GIT

Education MCA COMPUTER SCIENCE JABALPUR ENGINEERING COLLEGE CGPA:8.09 2020 - 2022

BSC Computer Science MGCGVV CHITRAKOOT CGPA:7.20 2017 - 2020

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