Nikhil Shekhar
Employee Engagement Manager - People & Culture at The Scalers đ
Bengaluru, Karnataka, India
Summary
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Rockstarđ
Top SchoolNikhil Shekhar is an experienced people leader and employee engagement specialist with a decade in HR and 8+ years focused on building high-performing cultures across global engineering teams from Bengaluru. As Employee Engagement Manager and former Chief Happiness Officer at The Scalers, he designs data-driven engagement programs, drove a sustained +87% employee satisfaction score, and helped secure Great Place to Work recognition three years running. He combines deep talent-acquisition and change-management expertiseâhoning processes, HR budgeting, and partner-facing initiativesâwith hands-on recruiting and analytics experience from earlier roles. Unusually for an HR professional, he also contributes to open-source ML tooling (notably enhancements to the H2O-3 Aggregator model), reflecting a technical curiosity that helps him bridge people strategy and engineering culture. Educated at XLRI and XIMB with a background in competitive sport, he brings disciplined teamwork, performance coaching, and measurable impact to employer branding and organizational design.
10 years of coding experience
1 year of employment as a software developer
Post Graduation Diploma in Management Human Resources Management, Post Graduation Diploma in Management Human Resources Management at Xavier Institute of Management, JabalpurPGC Human Resource Management, PGC Human Resource Management at XLRI - Xavier School of Management, JamshedpurBachelor of Business Administration (B.B.A.) Human Resources Management/Personnel Administration, Bachelor of Business Administration (B.B.A.) Human Resources Management/Personnel Administration at Birla Institute of Technology, Mesra
English, Hindi
Github Skills (10)
javas10
machine-learning10
h2o10
java10
python9
r9
ensemble-learning8
data-science8
automl8
big-data7
Programming languages (5)
Github contributions (5)
h2oai/h2o-3
Mar 2017 - Apr 2018
H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.
Role in this project:
Back-end Developer & ML Engineer
Back-end Developer & ML EngineerContributions:37 commits, 23 PRs, 34 pushes in 1 year 1 month
Contributions summary:Nikhil primarily contributed to the H2O-3 project by adding functionality related to the Aggregator model. Their work involved creating and modifying Java code for the Aggregator, including the addition of a mapping frame and associated unit tests. The user also updated R and Python bindings and schemas for the Aggregator model, demonstrating a focus on expanding its features and ensuring functionality across the H2O ecosystem. Further work included unit tests to validate the correctness of the aggregation process and the created mapping frame.
xgboostgampythonk-meansautoencoders
h2oai/h2o-jenkins-pipeline-lib
Mar 2017 - Apr 2017
Library of different Jenkins pipeline building blocks.
Contributions:328 commits, 327 pushes in 1 month
jenkinsbuilding-blockspipelinejenkins-pluginjenkins-api-plugin
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