Developer Manager

Pushpa Raghani, Ph.D. (Physics)

Data Scientist

email:ac5v8e@r.postjobfree.com Phone: 408-***-**** https://github.com/pushpajnc, Objective: Seeking opportunities as a Data Scientist. Experience:

I develop models for predicting properties of nanomaterials using various computational methods such as molecular dynamics, Monte Carlo methods, and Markov methods and density functional theory. I have a strong background in probability, statistics, programming, and shell scripting. I have presented my research in many international conferences and have strong communication skills. At Praedicat, I developed models for emerging risk identification and performed liability catastrophe analytics through data mining and modeling.

Education:

PhD in Physics – JNCASR, India, with a strong emphasis on numerical methods applied to materials modeling

Relevant Appointments

Quantitative Developer/Model developer, Praedicat, LA, CA Visiting Researcher, IBM Almaden Research Center, CA, USA Postdoctoral Researcher, physics department, Stanford University, CA, USA Postdoctoral Researcher, IBM Almaden Research Center, CA, USA Postdoctoral Researcher, SISSA/International School for Advanced Studies, Trieste, Italy Teaching Experience

§ Linear Algebra

§ Optimization Techniques

§ Numerical Methods for Scientific computing

§ Programming Languages

Programming Skills:

R, Python, Fortran, Unix/Linux, Shell Scripting, MPI, Csharp, Sql Machine Learning skills

§ Metric Performance § Sklearn § K-NN

§ Cross Validation § Regression & Classification § Decision Trees

§ Bias-Variance tradeoff § Clustering § SVM

§ Model Complexity

§ Model Tuning

§ Feature Selection

§ Time Series Analysis

§ PCA/ICA

§ Statistical Analysis

§ Reinforcement Learning

§ Hypothesis Testing

§ Data Analysis

§ Naïve Bayes

§ Markov Decision Processes

§ Maximum Likelihood est.

My python codes for some simple projects are in my github.

§ Titanic Survival Exploration

§ Creating Customer Segments

§ Predicting House Prices

§ Early Student Intervention

Publications:

I have published 24 papers in peer-reviewed international journals including one in Nature and one invited book chapter in Springer:

• P Kumar, V Sharma, F A. Reboredo and R Pushpa “Electric field control of magnetic properties of W adsorbed tri-vacancy fluorinated graphene”, Scientific Reports. (Nature publishing g.) 6, 31841, (2016)

• R Pushpa, “Investigating complex surface phenomena using density functional theory” in Practical Aspects of Computational Chemistry III, 2013, Springer (Invited) Work at Praedicat (a startup in LA):

Developed models for emerging risk identification for technical underwriting. Also developed models for calculating scores of correlating harmful chemicals with a given harm based on the scientific literature. Did time series analysis to predict the future correlation between Litagion and Harm based on the scientific literature. I also used Monte Carlo methods to predict number of publications and their characteristics into the future.

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