Adarsh Shekhar

VP of Engineering

Bengaluru, Karnataka, India18 yrs 4 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Expert in Data Science and Machine Learning.
Proven track record in predictive modeling and fraud detection.
Extensive experience in molecular dynamics simulations.

Stackforce AI infers this person is a Data Science expert with a strong background in Fintech and Materials Science.

Contact

Skills

Core Skills

Data ScienceMachine LearningData AnalysisStatistical Data AnalysisMaterials ScienceResearch

Other Skills

A/B TestingAgile Project ManagementAlgorithm DevelopmentAlgorithmsArtificial Neural NetworksBashCC++CARTConvolutional Neural Networks (CNN)Deep LearningETLFlaskFortranGit

Experience

Hsbc

3 roles

Vice President

Promoted

Jul 2023 – Present · 2 yrs 8 mos

Senior Assistant Vice President

Promoted

Mar 2022 – Jul 2023 · 1 yr 4 mos

Assistant Vice President

Nov 2019 – Feb 2022 · 2 yrs 3 mos

Samsung electronics

Chief Engineer

Dec 2017 – Nov 2019 · 1 yr 11 mos · Bangalore, India

Clover network inc.

Data Scientist

Jun 2016 – Dec 2017 · 1 yr 6 mos · Sunnyvale

Developed a model based on random forest classifier to assign an attrition score to each merchant to predict and prioritize high-risk, high-volume merchants in terms of potential loss.
Developed a classifier to predict rare (<1%) fraudulent behavior using neural network implemented in Tensorflow
Designed a recommender engine for customized app recommendations for merchants
Developed an app-ranking system based on the relationship between merchant longevity and app usage.
Created interactive dashboards and slack bots to track and investigate device failures in the field

Random ForestNeural NetworkTensorFlowRecommender EngineInteractive DashboardsData Science+1

Intel corporation

Module and Integration Yield Engineer

Oct 2013 – May 2016 · 2 yrs 7 mos · Hillsboro, OR

Developed modeling, analysis and reporting environments to monitor the yield of the manufacturing process during technology development
Implemented Decision-Tree based sampling schemes to represent defect population
Designed and implemented custom algorithm to reduce the volume of nuisance data while maintaining its representation.
Developed data analysis toolboxes that provide end-users with meaningful, statistically relevant metrics necessary for making key tool/process decisions
Created automated monitoring systems to identify live data integrity issues and inform relevant personnel, thus saving factory 20 minutes - 1 hour per event
Developed collection and roll-up engines for production data, maintained daily production data and data processing engines

ModelingData AnalysisAlgorithm DevelopmentData ScienceStatistical Data Analysis

Collaboratory for advanced computing and simulations

Research Assistant

Aug 2007 – Aug 2013 · 6 yrs · University of Southern California, Los Angeles

Largest (1 billion atoms) Reactive Molecular Dynamics simulations on full IBM BlueGene/P supercomputer (163,840 processors).
Developed key understanding of cavitation erosion damage during shock-induced
nanobubble collapse
Multi-million atoms reactive molecular dynamics nanoindentation simulations.
Determined the scaling of structural and mechanical properties with porosity of
nanoporous silica
14 million atoms reactive molecular dynamics simulation of heat and mass flow during
oxidation of aluminum nanoparticles.
Identified different stages of oxidation and estimated flame propagation rates in closely placed nanoparticles used in energetic applications
Taught MPI and FORTRAN in graduate courses in Atomistic Simulations