Data Scientist with
Resume:
LOVEDEEP SAINI
ac2euj@r.postjobfree.com
SUMMARY:
An innovative data scientist with more than 10 years of experience in big data, machine learning, and statistics.
Passionate about explaining data science to non-technical audiences.
Deliver regular presentations of solutions, ideas, pending issues in team meetings.
Organize workshops, hands-on technical teaching sessions, data science events. TECHNICAL SKILLS:
Software and Programming Languages: C++, Python (scikit-learn, numpy, scipy, pandas), R, SQL, Hadoop (Hive, MapReduce), Linux/Windows,
Microsoft Excel, LaTeX, ROOT, Bash scripting,
HTML
Machine Learning: regression, clustering, classification Statistical Methods: regression models, hypothesis testing and confidence intervals, principal component analysis and dimensionality reduction
PROFESSIONAL EXPERIENCE:
Data Scientist/Distinguished Research Fellow 01/2016 to 12/2016 LHC Physics Center, Fermilab – Batavia, IL
Convener/Leader for proceedings of Physics Object (Lepton) Identification group.
Expert for sub-structure techniques in Clustering algorithms and applications for new physics searches.
Software development using Python, C/C++ to create custom statistical tools.
Developed and maintenance of SQL tools for accessing detector conditions database.
Supervision and mentor of young researchers working for their Doctoral theses.
Organizing training workshops, coordinating weekly Physics meetings.
Peer reviewing physics data analyses for new searches at CMS and contributions to I ndian Journal of Physics (INJP).
Member of editorial board at "Frontiers in Physics".
Concurrent with PostDoc Fellowship at KSU.
Data Scientist/Postdoctoral Fellow 07/2013 to 06/2017 Kansas State University – Manhattan, KS
Analyse physics data collected by CMS detector at Large Hadron Collider.
Perform data cleaning, visualization, parameter selection, hypothesis testing, and provide statistical significance.
Used Clustering techniques to improve known physics search results by 20 to 30%.
Entrenched use of techniques like MonteCarlo Simulations, Machine Learning algorithms, Predictive and Exploratory Analysis.
Proctor scientific meetings, workshops, teaching technical sessions.
Attend conferences and workshops to broaden knowledge and share research results/ideas.
Senior Research Fellow 01/2010 to 06/2013
Punjab University – Chandigarh, CH
Develop and deploy statistical techniques for challenges in fields of:
Data Filtering: store only interesting data.
Feature selection: because not everything recorded in data is useful
Data Reduction and Selection for analytics
Data Visualization and Exploratory analysis using ROOT, python Junior Research Fellow 01/2007 to 12/2009
Punjab University – Chandigarh, CH
Work for world's largest scientific collaboration CMS.
Contribute towards collaboration wide analysis tools like CMSSW, ROOT
Teach calculus courses and introduction to Probability and Statistics.
Create and maintain project webpage - HTML
EDUCATION:
Ph.D.: Experimental High Energy Physics, 2013
Punjab University - Chandigarh, India
Master of Science: Physics, 2007
Punjabi University - Patiala (Punjab), India
SELECTED PUBLICATIONS:
"Observation of a new boson at a mass of 125 GeV with the CMS experiment at the LHC", CMS Collaboration,Phys. Lett. B 716 (2012) 30
“Search for excited leptons in proton proton collisions at s=8 TeV ”, CMS Collaboration, JHEP 03 (2016) 125
“Performance of electron reconstruction and selection with the CMS detector at s=8TeV
”, CMS
Collaboration, JINST 10 (2015) P06005
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