Senior Data Scientist

• Mar 2022 - Present

Senior Data Scientist

• May 2020 - Jan 2022

Implementing various simulation modeling techniques like Monte Carlo/Discrete event simulation for various product pricing options in different geographic Implementing optimal operational parameters given known business constraints and the changing business landscape and Designing algorithm for trend analysis and pattern recognition that increases client engagement with Madison logic’s product using Amazon Web Service (AWS). Using clustering analysis and similarity measures method to identify clients for optimal product marketing and targeting strategies.

Data Science Consultant

• Mar 2017 - May 2020

Developed Shallow and Deep Layer (ResNet) Convolutional neural networks (CNN) for classifying objects in the car’s dash-cam images for auto companies. Worked on the modeling of the company’s promotional campaign by analyzing social media matrices and understanding how they impact important KPIs related to company’s business. Developed a Wolfram Language application that enables simulation of traffic flow at the microscopic level using cellular automata (CA) modeling methods for a variety of scenarios and population mixes of regular vehicles (ReVs), connected vehicles (CVs), autonomous (AVs), and connected and autonomous vehicles (CAVs). Creating custom based Wolfram Alpha by deploying algorithmic knowledge from all of the Wolfram Language’s libraries, such as image processing, statistics, geospatial visualization, and computation, etc. Data science to extract insight from data (descriptive, prescriptive, and predictive analytics) Modeling and simulation. Software development and engineering (Wolfram Language programming, infrastructure, and deployment).

Phd Scholar

• Jan 2012 - Dec 2016

Developed and implemented a dimension reduction based method (PCA/SVD) to investigate the motions and energy-based correlation matrix observed between pairs of amino acids in proteins through Molecular Dynamics (MD) Simulation. Developed a Markov state model to study the role of conformational selection and induced fit mechanism in ligand binding and allosteric effects in proteins. Performed proteins family’s statistical based co-evolutionary analysis to examine the role of co-evolved positions in the structure/function of the protein. Maintenance and documentation of the computer lab resources and lab protocols. Trained undergraduate and junior graduate students to peruse lab’s research projects

Junior Research Fellow

• Dec 2009 - Dec 2012

Implementation and optimized protein folding software that was entered into the CASP contest, a worldwide experiment for protein structure prediction (http://www.scfbio-iitd.res.in/bhageerath/index.jsp). Implemented and web-enabled small drug-like molecule database and tools for drug design and genomic analysis. Optimized highly efficient algorithms in the high-performance computing environment. Implementation and optimized protein folding software that was entered into the CASP contest, a worldwide experiment for protein structure prediction (http://www.scfbio-iitd.res.in/bhageerath/index.jsp). Implemented and web-enabled small drug-like molecule database and tools for drug design and genomic analysis. Optimized highly efficient algorithms in the high-performance computing environment.