Pooja Murugiah

Data Engineer

Bengaluru, Karnataka, India4 yrs 5 mos experience

Key Highlights

Developed scalable ETL pipelines for banking data.
Co-authored a paper accepted at OHBM 2024.
Applied AI solutions to complex real-world problems.

Stackforce AI infers this person is a Data Engineer with expertise in AI and ML applications in Healthcare and Banking.

Contact

Skills

Core Skills

Etl/elt Pipeline DevelopmentDistributed Data ProcessingMachine LearningData Pipeline Design & AutomationRobotics

Other Skills

Cloud Storage & Data Lake ManagementBatch & Streaming Data IntegrationNetwork / Graph AnalysisPython (Programming Language)Statistical Analysis & MetricsCommunity DevelopmentCommunity OutreachTeam LeadershipTeamworkReinforcement LearningElectronicsArtCommunity EngagementRobot Operating System (ROS)Computer-Aided Design (CAD)

About

I’m a Data Engineer & ML practitioner with a B.Tech in Mechanical Engineering & AI from NITK. I love building data pipelines & analytics workflows that make complex data actionable & useful, whether it’s for improving efficiency, supporting regulatory reports, or enabling ML-driven insights so far in banking and healthcare. Before this, I worked as an ML & Neuroimaging Consultant at BrainSightAI, where I developed tractometry pipelines and structural connectome analytics for diagnostics and presurgical planning. That work led to a co-authored OHBM 2024 paper, an exciting milestone for me! I’m passionate about applying AI & data-driven solutions to real-world problems, and I enjoy tackling complex challenges that sit at the intersection of technology, analytics, and innovation, I like exploring new tools, learning across disciplines, and creating solutions that have tangible impact.

Experience

4 yrs 5 mos

Total Experience

1 yr 8 mos

Average Tenure

11 mos

Current Experience

Idfc first bank

Data Engineer

Jul 2025 – Present · 11 mos · Mumbai, Maharashtra, India · On-site

Develop and maintain scalable ETL/ELT pipelines for structured and unstructured banking data using PySpark, Sqoop, Kafka and AWS, delivering accurate, actionable reports and analyses for Assets & Liabilities Management (ALM), internal audit, and regulatory teams; automate workflows and data validation to ensure consistent, timely, and reliable data delivery across multiple business units.

Distributed Data ProcessingCloud Storage & Data Lake ManagementETL/ELT Pipeline DevelopmentBatch & Streaming Data Integration

Brainsightai

ML and Neuro Imaging Consultant

May 2024 – Jul 2025 · 1 yr 2 mos · Bengaluru, Karnataka, India · Hybrid

Built a scalable tractometry pipeline converting diffusion MRI tractography into tract-to-ROI connectivity matrices and network visualizations, delivering validated, product-ready outputs for neuroimaging diagnostics, presurgical planning, and longitudinal brain network analysis; co-authored a paper accepted at OHBM 2024.

Machine LearningNetwork / Graph AnalysisData Pipeline Design & AutomationPython (Programming Language)Statistical Analysis & Metrics

Ieee nitk

3 roles

WIE chair

Mar 2024 – Feb 2025 · 11 mos

Community DevelopmentCommunity OutreachTeam Leadership

Executive member

Promoted

Oct 2022 – Feb 2025 · 2 yrs 4 mos

Project - OPTICharge (project lead)
Applying reinforcement learning (DDPG) to autonomously optimize battery pack efficiency longevity & fast charging.
Utilised tools - TensorFlow, Pytorch , Gym
Project - SLAM Bot
Mobile robot which can perform SLAM (Simultaneous Localization and Mapping) in a given environment.
Utilised tools - Git and GitHub, Fusion360, Robot Operating System (ROS), Rosserial, Arduino and RPi, LIDAR sensor.

Machine LearningTeamworkRoboticsReinforcement LearningElectronics

Student Member

Jan 2022 – Apr 2023 · 1 yr 3 mos

Worked under project related to image processing ,"AI WEATHER CAM"
this project implements transfer learning of various architectures such as VGG16, ResNet and DenseNet and the results obtained from our classification using these models are compared at the end.

Aeronautical development establishment

Summer Research Intern

Jun 2023 – Aug 2023 · 2 mos · Bengaluru, Karnataka, India · On-site

Worked on "Unsupervised Aerospace Anomaly Detection" using multivariate sensor pipeline with D-Linear model and Denoising Autoencoder, enhancing real-time safety in Flight Simulation and AI division.

Machine LearningPython (Programming Language)

Artists' forum nitk

Executive member

Feb 2023 – Feb 2025 · 2 yrs

ArtCommunity Engagement

Csd robocon nitk

Mechatronics Engineer

May 2022 – Nov 2024 · 2 yrs 6 mos

Contributed to crafting robots for ABU Robocon as a committed CSD Robocon team member. Successfully advanced to the national level, Hosted by IIT Delhi. Fueling growth through challenges

RoboticsRobot Operating System (ROS)Computer-Aided Design (CAD)Electronics