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RAM, PhD
Phone: (+1) 678-288-5862
Email: [email protected]
Professional Summary
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Over 10 years of Data modeling and analysis experience in scientific research setting
Led several large (20+ member) scientific teams and guided projects from inception to publications on time
Extensive experience working in large, diverse teams of professional scientists, software
engineers, data modelers, graduate and undergraduate students
Capable of designing data driven strategies as well as turning numerical data analysis into an
effective and exciting story that influences the direction of the project
Serving as a referee for several scientific journals including American Chemical Society
Journals, PNAS, Wiley Journals etc.
Experience in writing and securing scientific grants from NSF, NIH and XSEDE etc.
Extensive experience in Biomolecular Modeling
Developed several standalone python scripts for post-processing of large volumes of
Biomolecular simulations data
Proficient in Statistical, Artificial intelligence, and Machine Learning techniques
Proficient in R, Python, Fortran, SQL, and Linux
Proficient in developing machine learning applications using R, Python, H2O.ai, MLlib (Spark),
and Sparkling Water (integration of H2O.ai with Spark)
Experience with Hadoop (HDFS, Hive etc), and Spark (SparkR, MLlib, PySpark, SparkSQL)
Experience in developing and deploying data science applications on AWS (EC2, EMR, and S3)
Experience in developing interactive web applications using RShiny
Experience with Tableau and ggplot2 for data visualizations and data mining
Authored and published several research papers
Delivered several research talks at national and international conferences
Received several honors and awards
Technical Skills
Data Science tools
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Programming
Databases
BI
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R (dplyr, ggplot, Mlr, Sparklyr), Python (Numpy, Scipy,
Pandas, Scikit-learn, TensorFlow), H2O.ai,
Spark(SparkR, PySpark, MLlib, SparkSQL, SparklingWater),
SPSS
Python, R, Fortran
SQL
Tableau (link : https://public.tableau.com/profile/ram3337#!/
https://github.com/rambora/BI-Visual_Analytics )
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RAM, PhD
Phone: (+1) 678-288-5862
Big Data
Cloud
Others
Email: [email protected]
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Hadoop (HDFS, Hive, YARN), Spark
AWS (EC2, EMR, S3)
R Studio, RShiny, Data Bricks, Jupyter notebook, Git, Linux
Machine Learning skills: (link : https://github.com/rambora/DATASCIENCE )
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Regression (with Regularization) and Classification
Bagging and Boosting methods (RandomForest, GBM, Xgboost)
Neural Networks and Deep Learning (using TensorFlow and H2O.ai)
Clustering
Anomaly detection
Time Series analysis
Text and Sentiment analysis
Survival analysis
Natural Language Processing
Dimensionality Reduction
Evaluation / Performance Metrics
Statistics: Hypothesis testing, Parametric and Non-Parametric tests etc.
Professional Experience:
Research Associate - University of Southern California, Los Angeles (2010- till date)
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Leading a scientific team (group of 6) towards the development (of mathematical and statistical
models) and analysis of (large volumes of numerical data over 20 GB) computational protein and
drug design projects
Successfully submitted and secured research grants from NSF and NIH
Devised Machine learning approaches for predicting hotspots in enzyme designing
Devised a predictive modeling workflow towards predicting drug likeliness of small
molecules
Employed several Machine learning techniques (SVM, RandomForest, and Logistic
Regression) towards the predictive modeling of structure-activity relationships of drug like
molecules. (link: https://github.com/rambora/Chem_Predictive_Modeling )
Research Associate – University of Miami (2008- 2010)
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Led a group (7) of graduate and undergraduate students in four Biomolecular modeling
projects from inception to publications
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RAM, PhD
Phone: (+1) 678-288-5862
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Email: [email protected]
Developed several python programs (stand alone as well as in conjunction with other bio
molecular modeling software packages) for analyzing the biomolecular simulations data
Explicit utilization of cluster based approaches towards the analysis of structural aspects of
proteins (http://pubs.acs.org/doi/abs/10.1021/bi1002103 )
Developed several computational models to analyze the structural evolution of poly peptides
(http://scitation.aip.org/content/aip/journal/jcp/131/15/10.1063/1.3249609 )
Graduate Student - Indian Institute of Technology Madras India (2000- 2007)
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Successfully completed three different projects related to spectral modeling of molecular
complexes. The results are presented in international conferences and are also published in
international journals.
Developed hypothesis driven approaches towards the molecular spectral data modeling
Devised several Regression models for fitting the observed spectral data of molecular
complexes. (http://www.sciencedirect.com/science/article/pii/S0022285205000962 )
Developed Fortran computer code for molecular spectral line fittings and several python
standalone scripts for spectral data analysis
Mentored several undergraduate students
Miscellaneous:
I am an author of 20+ scientific articles published in various international journals (
https://scholar.google.com/citations?user=4VbZDmAAAAAJ&hl=en ). In addition, I have presented
my research in various international conference meetings (oral as well as poster presentations). I was
a recipient of the prestigious “Ramalingaswami fellowship award” sponsored by the Department of
Biotechnology, Govt. of India for the year 2013.
Publications related to Data Modeling (Regression, Clustering and Evaluation metrics are
explicitly used in the modeling and analysis part):
1. B. Ram Prasad and Rajeev Prabhakar, “Elucidation of Interactions of Alzheimer’s Amyloid βPeptides (Aβ40 and Aβ42) with Insulin Degrading Enzyme (IDE): Molecular Dynamics Study,”
Biochemistry., 49, 3947–3956 (2010).
2. Ram Prasad Bora, R. Prabhakar, “Translational, rotational and internal dynamics of amyloid
beta-peptides (Abeta40 and Abeta42) from molecular dynamics simulations,” J. Chem. Phys.,
131, 155103-155103 (2009).
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RAM, PhD
Phone: (+1) 678-288-5862
Email: [email protected]
3. B. Ram Prasad, M. S. Krishnan, E. Arunan, “Rotational Spectra of mono-substituted
asymmetric C6H6-H2O dimers,” J. Mol. Spectrosc., 232, 308-314 (2005).
Awards and Honors
2013
2010
2006
2001–2007
2001
1998
1998
Ramalingaswami fellowship (sponsored by Department of Biotechnology,
Ministry of Science and Technology, Govt. of India) (declined)
University of Miami, Travel award to attend Annual meeting of Southeastern
Theoretical Chemistry Association, Duke University, USA
Council of Scientific and Industrial Research India, Travel award to attend International
symposium on Molecular Spectroscopy, Columbus, Ohio, USA
Indian Institute of Technology Madras, Chennai, India, Graduate fellowship
National level merit in all India level Graduate Aptitude Test in Engineering
(Chemistry division) and secured admission for graduate study (Ph.D.) at Indian
Institute of Technology Madras, Chennai, India.
Andhra Pradesh (India) State level merit list and secured admission for Master of Science
(Chemistry division) in Andhra University
Andhra Pradesh (India) State level merit list and secured admission for Master of Science
(Chemistry division) in Nagarjuna University (declined)
Education
Ph.D. in Theoretical and Computational Chemistry, Indian Institute of Technology Madras,
Chennai, India (2007)
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