V

vishal

Open to

Bangalore · Gurgaon · Noida

Work style

onsite

Contact details — on requestProof of Work — on request

Experience

S

Associate Data Scientist

Societe Generale · Jun 2022 – Apr 2026

Not yet confirmed
  • Designed and deployed a production-grade 3 step binary Logistic Regression model for financial crime risk classification, supporting KYC and regulatory compliance.
  • Built scalable ML pipelines using Python, PySpark, SQL, and Hive, integrating structured and unstructured data with feature engineering and data preprocessing.
  • Developed and evaluated Logistic Regression, Random Forest, XGBoost, K-Means Clustering, and anomaly detection models using Scikit-learn, selecting models based on AUC-ROC and F1-Score.
  • Reduced false-positive spoofing alerts by 77% through a hybrid K-Means + NLP solution, improving analyst productivity.
  • Applied ANN, CNN, TensorFlow, and Keras for deep learning projects involving classification and model experimentation.
  • Conducted 15+ production model monitoring cycles using PSI, model drift, and performance metrics to ensure model stability and regulatory compliance.
  • Collaborated with cross-functional teams to support model validation, deployment, governance, and stakeholder reporting.
M

Operations Engineer

Monnet Ispat and Energy Limited · Oct 2010 – May 2012

Not yet confirmed
  • Managed operations of a 250 TPH Coal Handling Plant with shift team leadership across 44 personnel - building early foundations in operational planning, compliance, process analytics, and large-scale team management.

Skills 0 proven through work

Also works with

Coal BlendingWork Planning and PrioritizationTechnical Knowledge SharingTechnical Training DeliveryWorkflow CoordinationExplaining Technical ConceptsTrain-Test Split ValidationAdaptive PlanningCompliance ManagementBusiness IntelligenceCloud ComputingTeam SupervisionFostering Team MotivationTeam LeadershipOperations ManagementSynthetic Data GenerationTraining Data CreationRequirements AnalysisHandling Data ImbalanceHandling Data SparsityF1 Score InterpretationRecall Metric InterpretationPrecision Metric InterpretationAccuracy Metric InterpretationModel Metric Selection & InterpretationExplainable AIXGBoost ModelingRandom Forest ModelingDecision Tree ModelingClassification ModelingLogistic Regression ModelingFeature SelectionHadoop UsageData CollectionStakeholder ManagementCreative BrainstormingModel Performance ImprovementHybrid AI Model DevelopmentGoal setting (defining key results)MLOps ImplementationFraud DetectionMachine Learning Application

Proof of Work

Proof of Work

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Education

M.A., Environmental Economics

Madras School of Economics · 2020 — 2022

B.Tech, Mechanical Engineering

Bharath University · 2006 — 2010

PG Certification, Data Science & Artificial Intelligence

IIT Roorkee (Intellipaat) · 2025 — 2026

Links

LinkedIn

linkedin.com/in/vishal-s-76b399120

Contact details

Contact details

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