KULDEEP H. JARIWALA

abm8j4@r.postjobfree.com

"Up and Coming Scientific Researcher with good Data Analysis skills"

UPermanent AddressU UCurrent Address

* / ****, *********, ******

Apartment 1301,

Khangad Sheri, 2200 E

Lingelbach lane,

Surat - 395003 Bloomington,

IN- 47408

Gujarat, India (M) 812-

345-0087

0BObjective

To obtain a meaningful work place that promotes learning and growth

opportunity, and to serve the company with full dedication and integrity.

1BEducational Qualifications

Indiana University

Bloomington, IN

Master of Science in Chemical Informatics

May 2010

Sem I- 3.9 GPA Sem II - 3.7 GPA Sem III - 4.0 GPA

Padmashree Dr.D.Y.Patil University New

Mumbai, India

Bachelor of Technology in Bioinformatics

June 2008

Aggregate 72.5 %

Sai's BioSciences Research Institute Pvt. Ltd,

Chennai, India

Diploma in Computer Aided Drug Designing

February 2007

Accelyrs Accredited Training Program

2BProject

1) Natural Compound (Alkaloids) Database under the guidance of M/s Monisha

Hajra, Senior Scientist, Institute Of Computational Biology (IOCB),

Bangalore. (Duration : 3 months) Project Assistance

Description

I have build a website(backhand MySQL) which consist of 25 alkaloids,

which has potentional biological activity. The website provides information

about the following:-

. Structure, Biological Activity, Protein Target, Docking Result, Physio-

Chemical Properties and ADMET of Alkaloids.

. Software used :- Dock 6 and PreADMET

2) EST Analysis of anolis carolinensis (Duration :3 months)

Have worked with different software like

. Gene Finding :- Glimmer

. Gene Ontology:- PFP(Protein Function Prediction) and KAAS (KEGG

Automated Annotation Server)

. Genome Validation : Done using a tool called PASA, it validate the

EST/cDNA to the annotated genome

3) Genetic Algorithm for feature selection (Duration: 3 months)

Description

Selecting 3 or 4 or 5 best predictor from the given set of predictors by

applying Multiple Linear Regression combined with Genetic Algorithm. It

helps to build a very good model or model prediction for particular

Physical Properties of compound.

4) Currently working Predictive Models for Tuberculosis using Random

Forest.

Research Assistance under Dr.David Wild,

Description

We have classified Pubchem Bioassay data based on the therapeutic target

using research paper. Using that data and the MACCS fingerprint applied

Random Forest in R to build the Model for TB. Furthermore, I also have

compared model build with Support Vector Machine, Random Forest and

Hellinger distance.

3BTechnical Proficiency

1) Excellent Experience of Perl (Bioperl), HTML, PHP, Python, MySQL,

Oracle, SAS and R statistical language

2) Machine Learning Techniques:, Markov chain, HMM and EM algorithm.

3) Statistical Knowledge: Basic Statistics knowledge, Applied Linear

Models, Principle Component Regression, Survival Analysis and Non-

parametric theory

3) Bioinformatics/Chemoinformatics Techniques known:

. Homology modeling using Swiss PDB Viewer and Discovery Studio 1.6.

. Docking using Hex 4.5, MOE and Discovery Studio 1.6.

. Quantitative Structure Activity Relationship using Topkat and

Accord for excel.

. Software/Tools worked on :- OEChem, SciTegic Pipline Pilot, Marvin

Sketch, Chemdraw,

BioCondutor in R

. Databases :- Drugbank, Pubchem, NCBI, PDB, Uniprot and data

analysis for same

4) Basic knowledge about Cell biology, Molecular biology, Proteomics,

Genomics and Chemistry.

5) Miscellaneous: - Windows XP, Linux/Unix, MS office and Dreamweaver

4BPublications

1) Published a student article in Advanced BioTech on "The Evolution of

Global Intelligence: When Things Starts to Think" Volume V Issue 10 April

2007 Page no. 36-38.

2) Poster accepted for Asia pacific Bioinformatics Conference, Bangalore,

India Jan 2010 "Natural Compound Database"

4BStrength

. Good analytical skills

. Decision making power

. Work in a team

. Fast leaner

. Good Communication skills

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