GK

gunjan kuhikar

I am a data scientist driven by a commitment to accountability and diligence, applying a logical and pragmatic approach to every challenge. My goal is to achieve mastery in my field, leveraging insightful analysis to architect robust and impactful solutions.

Identity verified by DigiLocker
Contact details — on requestProof of Work — on request

Experience

M

Data Scientist

MATRIX Analytics Corporation (Domain of Arimax Global Corporation) · Aug 2023 – Present

Not yet confirmed
  • Built hybrid SARIMAX, XgBoost and Ridge Regression models for monthly forecasting across 40+ products, reducing MAPE by ~23% versus legacy baselines.
  • Engineered preprocessing with MAD-based outlier correction, 6,000+ FRED/Census indicators, lag features, month dummies and feature standardization.
  • Improved inventory planning, reducing stockouts by ~18% and over-ordering by ~12%, delivering approximately $0.5M annual cost savings.
  • Built an automated validation template across 6 countries and 40+ products, monitoring Actual-vs-Forecast variance, buffer breaches, PSI and historical trends; delivered weekly Monday exception reports for stakeholder action.
  • Replicated and audited auto-loan credit risk scorecards, creating 7-module Excel audit packs covering performance, PSI, characteristics and multicollinearity.
  • Validated a 24-month PD scorecard for used-auto loans, achieving stronger OOT discrimination with KS 57.3% vs. 47.7% and AUC 84.3% vs. 78.1%.
  • Flagged calibration and population drift with ATM of 131.5% vs. 104.3% and PSI of 0.141 vs. 0.054; max correlation of 0.215 showed no multicollinearity concern.
  • Built an on-premises financial RAG platform combining fine-tuned FinBERT, hybrid retrieval and a local LLM, converting 5,000+ news articles into source-cited reports and 24-month historical timelines.
  • Engineered a 4-agent LangGraph pipeline for retrieval, materiality, verification and reporting, achieving 0.88 RAGAS faithfulness, 0.82 context precision and 93% citation correctness.
  • Developed confidence scoring, contradiction and citation checks, flagging 18% low-confidence reports for review and reducing estimated monitoring effort by ~60%.
  • Developed Python web scrapers using Selenium, Requests and BeautifulSoup to extract and standardize business data from 5+ public sources (SBA, SEC, GSA, DOL and OpenCorporates), enriching enterprise records for downstream credit-risk scorecard development.
  • Engineered 60+ model-ready features from 30+ merchant and external attributes, including growth, ratio, rolling-window, seasonal and risk indicators to support downstream credit-risk scorecard modelling.

Skills 0 proven through work

Also works with

Model AdaptationNoisy Data HandlingEvidence VerificationMateriality EvaluationFinBERT Model UsageOn-premise Platform DevelopmentScorecard AuditingScorecard ReplicationOn-the-Job Learning (Learning from Peers)Analytical ThinkingAdaptabilityProblem SolvingSelf-Directed LearningDecision MakingStrategic PlanningImpact-Driven DevelopmentProcess ImprovementBefore-and-After Impact MeasurementProduction System MonitoringTechnical Solution DesignBusiness AnalysisMachine Learning Model DeploymentLarge Dataset HandlingEnd-to-End Data Science Lifecycle ManagementAccuracy Metric InterpretationAUC Score InterpretationF1 Score InterpretationModel Metric Selection & InterpretationRandom Forest ModelingSupport Vector Machine ModelingK-Nearest Neighbours ClassificationDecision Tree ModelingLogistic Regression ModelingSMOTE UsageHandling Data ImbalanceCorrelation AnalysisPredictive MaintenanceClassification ModelingRagas Framework UsageEvaluation Framework DesignConfidence Scoring and Uncertainty BucketingLLM Output Verification and ValidationQuery Relevance OptimizationModel ComparisonPACF Plot InterpretationACF Plot InterpretationFeature SelectionData PreprocessingTabular Data Cleaning & ValidationData TransformationExploratory Data Analysis (EDA)Handling Data SparsityStatistical InferenceFinancial Report PreparationSemantic SearchLangGraph Framework UsageRetrieval-Augmented GenerationSentiment AnalysisAI Agent DevelopmentModel Performance ImprovementFeature EngineeringRegression AnalysisXGBoost ModelingSARIMA ModelingLLM Application IntegrationGenerative AI ApplicationForecastingMachine Learning ApplicationCredit Risk AnalysisData Science

Proof of Work

Proof of Work

gunjan shares this with people who ask. You'll hear back either way.

Education

Post Graduation, Data Science

IIT Bombay · 2021 — 2023

Graduation, Electronics Engineering

Mumbai University · 2016 — 2020

Contact details

Contact details

gunjan shares this with people who ask. You'll hear back either way.

Ask about this candidate

ClaudeChatGPTPerplexity

AI responses may contain errors. Proof status and source information are provided by Proof of Skill.

A Proof CV — one profile, kept current, with the proof attached. Back to the portal