Vivek Binjola

Senior Engineer at GlobalLogic

Gurugram, Haryana, India
email-iconphone-icongithub-logolinkedin-logotwitter-logostackoverflow-logofacebook-logo
Join Prog.AI to see contacts
email-iconphone-icongithub-logolinkedin-logotwitter-logostackoverflow-logofacebook-logo
Join Prog.AI to see contacts

Summary

👤
Senior
🎓
Top School
Vivek Binjola is a Senior Engineer based in Gurugram with about five years of experience building backend systems and full-stack solutions, most recently at GlobalLogic after a three-year tenure at Cognizant. He specializes in Java and Spring Boot, designing RESTful APIs, automating repetitive workflows (including a Java automation that cut a multi-month task to minutes), and routinely writing SQL for data extraction and reporting. Vivek also engages in cross-team coordination to improve collaboration and project delivery, driving measurable team productivity gains. Outside core backend work he contributes to machine learning projects on GitHub, focusing on data preprocessing and visualization for air quality analysis, indicating a practical interest in applied data science.
code5 years of coding experience
job3 years of employment as a software developer
bookBsc it, Information Technology, Bsc it, Information Technology at Sgrr its
bookMaster of Computer Applications - MCA, Computer Science, Master of Computer Applications - MCA, Computer Science at Graphic Era Hill University
stackoverflow-logo

Stackoverflow

Stats
1reputation
747reached
0answers
1question
github-logo-circle

Github Skills (12)

scikit-learn10
scikit10
data-preprocessing10
pandas10
seaborn10
python10
onehot-encoding10
matplotlib10
data-analysis10
machine-learning9
nodejs6
server6

Programming languages (6)

JavaJavaScriptHTMLJupyter NotebookRich Text FormatPython

Github contributions (5)

github-logo-circle
Role in this project:
userData Scientist
Contributions:17 commits, 4 PRs in 1 day
Contributions summary:Vivek primarily worked on a machine learning project focused on air quality analysis. Their contributions included importing data from a CSV file, exploring the dataset with `df.head()`, and performing data preprocessing steps such as one-hot encoding on categorical features like 'location' and encoding the 'Air Quality' column using label encoding. They also integrated visualization using `seaborn` and `matplotlib`. The user's actions demonstrate their focus on data manipulation and model preparation for machine learning tasks.
vivekbinjola/vivekbinjola

Jun 2021 - Oct 2024

Contributions:21 pushes, 1 branch in 3 years 4 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.
Request Free Trial