Rashi.C

What I've built.

Industry and research roles, with the results I measured.

Impact

Results at a glance.

Figures come from my own project reporting at HPE.

~89%
Churn modelvalidation accuracy
92.4%
Forecastingproduct-level accuracy, 8 algorithms
−60%
Pipeline maintenancemanual effort reduced (ETL)
−30%
Pipeline failuresbanking analytics pipelines
−20%
Masking turnaroundAadhaar masking, LIC–HPE project
+15%
Masking accuracyAadhaar masking, LIC–HPE project
Roles

Experience.

Technical Consultant · Hewlett Packard Enterprise (HPE)

Aug 2025 – Present · Gurugram, India
  • Built a four-stage ETL pipeline moving millions of records from Cloudian object storage to Vertica, automating DDL generation and schema updates and cutting manual pipeline maintenance by ~60%.
  • Developed a customer churn prediction model on quotes, contracts and survey data, reaching ~89% validation accuracy to support customer retention analysis.
  • Engineered an automated Aadhaar masking pipeline at large scale for the LIC–HPE project, integrating AI-driven quality-control decisioning and manual verification to improve masking accuracy by ~15% and reduce processing turnaround time by ~20%.
  • Strengthened banking analytical pipelines with centralized error handling, unified execution-status tracking and automated stakeholder notifications, reducing pipeline failures by ~30%.
  • Developed custom workflow automation tools for the Project Management Office, removing recurring manual tasks and saving ~56 hours of effort per week.
  • Developed a retrieval-augmented generation (RAG) application for natural-language retrieval of technical project documentation, with automated ticket escalation and response workflows using Langflow, MailHog and Zammad.

AI/ML Internship Trainee · Hewlett Packard Enterprise (HPE)

Feb 2025 – Jul 2025 · Gurugram, India
  • Developed and evaluated a forecasting pipeline across 8 machine learning algorithms for banking analytics, achieving 92.4% product-level forecasting accuracy.
  • Built 5 Power BI dashboards tracking forecasting outputs, actual-versus-predicted trends and product-level performance.
  • Diagnosed and resolved NaN predictions and dimensional mismatches, improving data quality and consistency in downstream forecasts.
  • Compared forecasting model performance to identify suitable approaches for product-level banking analytics.

Summer Research Intern · NIT Raipur

May 2024 – Jun 2024 · Raipur, India
  • Designed FMANet, a multi-level fusion network reaching 95% accuracy on the Colorectal Histology Dataset and 97% on NCT-CRC-HE-100K, outperforming baseline models.
  • Proposed an attention-based deep neural network for kidney-ailment diagnosis, achieving 99.48% accuracy on CT imaging data.

Data Science Intern · Tata Power Delhi Distribution Limited

Apr 2024 – May 2024 · New Delhi, India
  • Developed machine learning systems for switchgear automation, improving operational efficiency by 15%.
  • Built a solar-panel anomaly detection model to flag faults ahead of manual inspection.
Skills

Tools I work with.

Python and SQL at the core, with the machine-learning, data-engineering and analytics stack around them.

Programming

PythonSQLJavaScriptTypeScriptC++C

Machine learning

Predictive modellingClassificationCustomer churn predictionTime-series forecastingModel evaluationDeep learning

Vision & frameworks

TensorFlowKerasPyTorchscikit-learnOpenCVUltralytics YOLOGrad-CAM

Generative & agentic AI

RAGHybrid retrievalLangChainLangGraphLangflowChromaDBOllamaMCP

Data engineering

ETL pipeline developmentData ingestionData transformationData qualityDDL generationSchema managementPipeline monitoringVerticaCloudian

Analytics & delivery

Power BIDashboard developmentForecast performance analysisData visualizationDockerFastAPIGitGitHub Actions
Education & recognition

Learning and milestones.

M.Tech, Data Science and AI (Online)

IIIT Dharwad
Aug 2026 – 2028 (Expected)

B.Tech, Computer Science

Amity University, Noida
2021 – 2025 · CGPA 9.00 / 10

NVIDIA-Certified Associate: AI Infrastructure and Operations

NVIDIA
2025

CCNA: Introduction to Networks

Cisco
2024
Best Social Impact ProjectTECHNOVATE'25, Amity University, for the final-year project "Smart Recycling Bin".
Winner, FlyHigh Coding ChallengeSelected for the 4.0 Tech Camp, Dubai.
2nd Place, Technopreneur Hackathon4.0 Tech Camp, Dubai.

Read or download the resume →