Niket Dheeryan
Senior Software Engineer at Newgen Software
Delhi, India
Summary
👤
Senior🎓
Top SchoolNiket Kumar Dheeryan is a Senior Software Engineer based in Delhi with over 3 years of full-time experience and a broader 6-year journey across internships and mentoring roles, building secure web applications using Java, Spring Boot, Docker, and modern front-end technologies. He pairs backend strength with practical UI skills (HTML/CSS/JavaScript) and is actively expanding into cloud-native development on AWS. Niket also contributes to open-source learning projects—leading ML-Capsule work that helps beginners become interview-ready—and has hands-on ML experience with PyTorch for regression and data visualization. As a former Teaching Assistant and mentor, he’s guided 100+ students in databases and SQL, showcasing an ability to translate complex topics into teachable outcomes. This mix of production engineering, machine learning exploration, and community-focused mentoring makes him adept at shipping practical, developer-friendly solutions.
6 years of coding experience
B. tech, Computer Engineering, B. tech, Computer Engineering at Bharati Vidyapeeth
English, Hindi
Github Skills (18)
data-visualizations10
seaborn10
python10
matplotlib10
machine-learning10
data-visualisation10
data-visualization10
data-analysis10
pytorch9
deep-learning9
statistics8
webscraping8
regression7
pandas7
neural-network6
Programming languages (7)
Github contributions (5)
Niketkumardheeryan/ML-CaPsule
Sep 2020 - Jun 2022
ML-capsule is a Project for beginners and experienced data science Enthusiasts who don't have a mentor or guidance and wish to learn Machine learning. Using our repo they can learn ML, DL, and many related technologies with different real-world projects and become Interview ready.
Role in this project:
Data Scientist
Data ScientistContributions:1 review, 149 commits, 267 PRs in 1 year 9 months
Contributions summary:Niket's commits demonstrate a focus on data analysis, visualization, and machine learning model development within the repository. They've worked on web scraping to gather data, utilized Seaborn and Matplotlib for data visualization, and created a basic statistics notebook. Furthermore, the user explored neural networks in PyTorch for regression tasks and experimented with various machine-learning techniques for time-spent prediction.
pythonflaskwishstatisticsscience
Niketkumardheeryan/Machine_learning_project
Jan 2020 - Sep 2020
it is a machine learning model based on linear regression algorithm. it predicts salary .
Contributions:20 commits, 2 PRs, 16 pushes in 8 months
model-basedregressionregression-algorithmdata-sciencelinear-regression
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