Ayush Baral

Professional Experience

Data Scientist | Apollo MIS

Apr 2024 – Present | White Plains, NY

  • Lead full-stack development for Apollo MIS, an AI-powered platform combining real-time analytics and intelligent voice interaction.
  • Built and deployed the entire system — React Native frontend, Flask backend, and Azure cloud infrastructure with containerization and CI/CD pipelines.
  • Developed prompt-engineering and dynamic SQL reasoning pipelines using Claude 3.5, BERT, and spaCy NER to achieve 85%+ SQL accuracy.
  • Integrated a survival analysis engine for athlete injury-risk prediction using CoxPH and Gradient Boosting Survival Analysis (C-index ≈ 0.88 train / 0.67 val).

Associate Data Scientist | First Solar, Inc.

Jan 2023 – Apr 2024 | Perrysburg, OH

  • Developed machine learning and computer vision pipelines for solar-panel defect detection using OpenCV, SVM, and XGBoost — reducing manual inspection time by 3+ hours per batch.
  • Applied PCA, SVD, and clustering to identify correlated process variables, improving interpretability and model robustness.
  • Designed regression and inference models to quantify manufacturing parameter effects on module efficiency and reliability.

Data, Analytics & Research Intern | BRE Hotels & Resorts

Jun 2022 – Aug 2022 | New York, NY

  • Designed and deployed interactive Tableau dashboards to visualize hospitality KPIs such as RevPAR and occupancy rates.
  • Streamlined the BI lifecycle from data modeling to dashboard publication, automating data refreshes across Snowflake and Excel sources.

Technology Analyst Intern | Credit Suisse

Jul 2020 – Aug 2020 | Morrisville, NC

  • Developed time-series forecasting models (ARIMA, SARIMAX, LSTM) for predicting trade volumes across asset classes, achieving ~12% MAPE.
  • Created an interactive Dash UI for anomaly detection and real-time monitoring of trading activity.

Information Security Intern | Cree, Inc.

May 2019 – Aug 2019 | Durham, NC

  • Built automated ETL pipelines to ingest and clean vulnerability data from Tenable API into SQL Server.
  • Developed Tableau dashboards visualizing system exposure and unpatched vulnerability trends for IT teams.