Data Management

Himansu Bhusan Sahoo, Ph.D.

**** ***** ****, *** *, Westmont, IL-60559, USA

Phone: 808-***-****, ************@*****.***

Summary

Highly motivated physicist, Ph.D. in experimental high energy physics with 5+ years of data anal-

ysis experience. Trained in research focused on collecting, processing, analyzing, and interpreting

large amount of experimental data. Strong ability to design, conduct and investigate new projects,

excellent communication skills, good planning, time management and presentation skills.

Technical Expertise

• Data Analysis : Experience with machine learning, data mining and modeling, multivariate

analysis using large amount of data (nearly 800 million events) to extract physics results.

• Programming :

Excellent skills in C/C++ using Unix/Linux environment, shell scripting (bash, tcsh, awk), L TEX,

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HTML (9+ years)

Data analysis and graphical representation with widely used physics packages PAW, ROOT, Mn Fit,

RooFit (9+ years) and R (4+ months)

Basic knowledge of Perl, Matlab, Python.

• Developed tools and techniques for large scale data processing, wrote C++ based algorithms for

analysis, contributed to offline reconstruction and analysis framework.

• Trained on developing mathematical techniques, probability density functions and statistical

models to describe data structures.

Professional Preparation

Postdoctoral Researcher, Argonne National Laboratory, USA (Jan 2012 Present)

Analyzed large data samples and developed Monte Carlo simulation from particle physics experi-

ment at Fermi National Laboratory, USA. Developed a C++ based algorithm to identify particles

from neutrino interaction, established analysis framework for reconstruction of pi zero mass from

data, was in charge of MC production of several terabytes of data for analysis, experience with

multi-variate analysis using neutral networks, boosted decision trees.

Postdoctoral Researcher, Dept. of Physics, Uni. of Hawaii, USA (Jan2011 Jan2012)

Developed new techniques to process large datasets and reduce them to a manageable sample for

analysis. Robust selection criteria to search for extremely rare decay process, successfully identi-

fied characteristics of 35 signal events out of millions of events. The data analysis tools used are

linear discriminators, neural networks, MC simulations, toy Monte Carlo, developed a C++ based

simultaneous extended maximum likelihood fitter to fit large datasets.

Graduate Assistant, Dept. of Physics, Uni. of Hawaii, USA (Aug 2004 Dec 2010)

Analyzed nearly 800 million events of data collected from Belle experiment, Japan to measure CP

violation parameters in B mesons, wrote thousand lines of C++ software and algorithms, com-

pared results against Monte Carlo simulation, PDFs to model physics events, un-binned maximum

likelihood method and multivariate algorithms for signal extraction and background rejection. Ex-

tensively used C/C++ software using Unix/Linux environment and shell scripting languages, used

PAW, ROOT, Mn Fit, RooFit in the analysis and presentation of data.

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Education

• Ph.D. in Particle Physics University of Hawaii, USA (GPA 3.97/4) 2004 2010

• M.Sc Physics, Utkal University, India, First Division (79%) 2001 2003

• B.Sc in Physics, Utkal University, India, Honors and First Division (72%) 1998 2001

Personal/Communication Skills

Well-versed in project management of up to 100 world-class scientists across different continents

(KEK in Japan, Argonne National Lab and Fermi National Lab in USA).

A self-motivated personality with a passion for working in a team; collaborative research experi-

ence in multicultural and multilingual environment, comfortable in interfacing with a diverse set

of people.

Team leadership role in research projects; good co-ordination and co-operation within the working

group, strong desire and aptitude to learn and share ideas/knowledge with colleagues.

Ability to manage multiple tasks in a demanding and changing environment, meeting aggressive

timelines and delivering world-competitive measurements.

Excellent analytical and logical decision-making capabilities; proved to be able to learn new skills

quickly.

Strong verbal communication, good planning, time management and presentation skills, outstand-

ing analytical/problem solving skills.

Leadership Roles

• Organizer of the scientific meetings between the Argonne experimental neutrino group and HEP

division theorists.

• Member of Division of Particles and Fields, American Physical Society (2005 Present).

• Referee of journal publications and Physics of B Factories Book from Belle experiment, Japan.

• Recognized by East West Center, Hawaii for the contribution in promoting better understanding

and relations among the people and nations of the Asia pacific region and larger global community.

• Position of scientific Secretary, Super B Factory Workshop 2005, Honolulu, Hawaii.

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