Suryanarayana Murthy Pidaparthi

Data Scientist

Plano, Texas, United States1 yr 8 mos experience

Key Highlights

  • Improved delinquency prediction accuracy by 18%
  • Built Monte Carlo simulations for credit loss estimation
  • Developed predictive models to enhance student performance
Stackforce AI infers this person is a Data Scientist specializing in Risk Analytics within the Fintech industry.

Contact

LinkedIn

Skills

Core Skills

Risk ModelingStatistical AnalysisData Analysis

Other Skills

Machine LearningARIMAVARMonte Carlo SimulationCECL StandardsPopulation Stability IndexKS TestsLogistic RegressionGradient-Boosted TreesExponential SmoothingIsolation ForestZ-scoreA/B TestingHypothesis TestingJira

About

Data Scientist and Risk Analytics professional with a background in quantitative modeling, anomaly detection, and regulatory portfolio analytics across financial services. Experienced in working with large-scale structured and unstructured datasets ranging from 1M+ transactions to 8M+ loan accounts by applying statistical modeling, machine learning, and time-series forecasting to enhance accuracy, transparency, and decision-making. Proven expertise in developing and validating PD/LGD/EAD models, Monte Carlo stress tests, and ARIMA/VAR forecasting frameworks under CECL and CCAR standards. Results have strengthened early-warning delinquency indicators, quantified tail-risk exposures, and informed compliance reviews, litigation-style portfolio investigations, and strategic finance decisions. Technical skills include Python, R, SQL, SAS, MATLAB, and PySpark, combined with domain knowledge in OCC, FHFA, and SR 11-7 regulatory frameworks. Skilled in delivering actionable insights through Tableau dashboards, MIS reporting, and statistical analysis to support cross-functional teams in finance, treasury, and fraud management. Focused on building solutions at the intersection of quantitative risk management, regulatory modeling, and applied data science to deliver robust, transparent, and explainable models that drive compliance, resilience, and business growth.

Experience

1 yr 8 mos
Total Experience
1 yr 8 mos
Average Tenure
1 yr 8 mos
Current Experience

Softquip technologies

Data Scientist-Risk Modelling

Sep 2024 – Present · 1 yr 8 mos · Dallas, Texas, United States

  • Developed components of portfolio forecasting models(ARIMA,VAR) on 8M+ retail loan accounts, improving delinquency
  • prediction accuracy by 18% and validating results against CCAR stress scenarios.
  • Built Monte Carlo simulation routines for credit loss estimation, quantifying tail-risk exposure and increasing projection
  • reliability by 20% in alignment with CECL standards.
  • Implemented model monitoring checks using Population Stability Index(PSI) and KS tests, detecting drift patterns and
  • reducing misclassification errors by 40%.
  • Prepared portions of model documentation and validation reports, summarizing diagnostics and back testing results to
  • support SR 11-7 governance reviews.
Machine LearningData AnalysisRisk ModelingStatistical Analysis

Counsel india

Data Scientist

Mar 2021 – Jul 2022 · 1 yr 4 mos · Noida, Uttar Pradesh, India

  • Built predictive models on student performance and completion metrics using logistic regression and gradient-boosted treebased methods, enabling targeted support strategies that improved course completion rates by 12%.
  • Forecasted engagement metrics (attendance, participation, assessment scores) using ARIMA and exponential smoothing models,
  • driving a 15% increase in consistent participation across pilot cohorts.
  • Applied anomaly detection techniques (Isolation Forest, Z-score) on engagement and performance data to flag sudden activity
  • drops and irregular learning patterns, supporting early intervention and improving retention by 10%.
  • Conducted program evaluation studies with A/B testing and hypothesis testing to compare course formats, leading to 18% higher
  • success rates in the newly launched modules.

Education

The University of Texas at Dallas

Master's degree — Business Analytics

Aug 2022 – May 2024

Visvesvaraya National Institute of Technology

Bachelor of Technology - BTech — Electrical and Electronics Engineering

Aug 2018 – May 2022

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