Building intelligent data systems from pipeline to insight.
I'm Hemanth — a data and systems professional with experience across data science, analytics, cloud platforms, data engineering, and research-focused problem solving.
About
A bit about me
A background spanning analytics, data engineering, systems work, and research-focused problem solving.
I completed my Master's in Data Science at UMBC and built experience across analytics, reporting, ETL workflows, cloud data platforms, dashboarding, validation, and technical systems. My background lets me work across both business-facing and engineering-focused environments.
I am also strongly interested in research. I enjoy exploring applied machine learning, NLP, computer vision, biomedical systems, and RF engineering problems, especially when research ideas can be translated into practical systems and measurable outcomes.
Focus
Areas of focus
A portfolio built across data, cloud, systems, and research-oriented engineering.
Data Science & Analytics
Applied machine learning, experimentation, KPI design, forecasting, business analysis, and decision-ready reporting.
Data Engineering & Cloud
ETL/ELT pipelines, data validation, warehousing, cloud platforms, APIs, and scalable analytics workflows.
Systems Engineering & Biomedical
RF systems, biomedical modeling, simulation-driven engineering, telemetry, and technical system design.
Research & Publications
Interest in research-oriented problem solving across NLP, computer vision, biomedical systems, and RF engineering.
Projects
Featured work
Selected projects across business analytics, machine learning, NLP, and applied engineering.
E-Commerce Data Challenge
Performed end-to-end analysis on 244,179 unique orders across 25,001 customers, covering revenue, profit, referral economics, Black Friday impact, and customer segmentation.
BERT vs LSTM Sentiment on X
Built a large-scale sentiment analysis pipeline on social media data using BERT and bi-LSTM models, with cloud-based ingestion, model serving, and monitoring workflows.
Pneumonia Detection using VGG16
Built a transfer learning pipeline on chest X-ray data using VGG16, applying augmentation, staged fine-tuning, and structured evaluation to improve classification performance.
More data science projects
Applied machine learning, analytics, NLP, and computer vision projects that reflect both technical depth and practical impact.
Named Entity Recognition with BiLSTM
Implemented a named entity recognition model using embeddings and BiLSTM sequence modeling, improving recognition performance through careful training and optimization.
Automatic License Plate Detection
Built a YOLOv4-based license plate detection workflow and integrated it into an application for real-time visual inference and practical evaluation.
TweetSense
Created an end-to-end sentiment analytics workflow for large-scale tweet data, transforming raw text into structured insights, validation outputs, and dashboard-ready results.
Systems engineering projects
Engineering-focused work across RF systems, biomedical modeling, cloud-native services, and applied system design.
Catheter Electrode Phase Shift Analysis
Designed catheter electrode models in HFSS to study phase reversal frequency shifts, tissue proximity effects, and electric field intensity, then bench-validated results.
SAR & Thermal Safety Envelope
Built EM and thermal simulation workflows to estimate SAR distributions, hotspots, and safe operating envelopes for biomedical ablation systems.
Impedance Matching & Coil Sensing
Designed sensing coil and impedance matching workflows, tuning resonance and Q-factor using circuit analysis and RF design concepts for sensing-oriented engineering systems.
Cloud-Native Analytics & Streaming Microservices
Built event-driven services and analytics workflows using APIs, containers, and orchestration patterns, with CI/CD and monitoring for scalable deployment.
Web Server on AWS
Built and deployed a web application on AWS using compute, storage, database, and routing services, with deployment, security, and operational best practices.
Experience
Education & work
Professional work across health data, analytics, enterprise reporting, and data systems.
SIGT LLC
Health Data Engineer & Systems Analyst
Jan 2025 – Present
- Built Python and SQL workflows to ingest, validate, and transform laboratory, telemetry, and engineering datasets into structured, decision-ready outputs.
- Worked on data profiling, mapping, lineage, validation, and anomaly detection to improve data quality and support cross-functional technical analysis.
- Created dashboards and reporting workflows to communicate operational metrics, thresholds, and insights to engineering and business stakeholders.
Cognizant Technology Solutions
Business & Financial Data Analyst / Data Engineer
Sep 2021 – Jan 2023
- Worked with SQL, Python, Snowflake, and enterprise business data to transform, validate, and analyze large datasets for reporting and decision support.
- Built reporting outputs and dashboards for portfolio performance, customer segmentation, and analytics use cases across business teams.
- Documented requirements, data logic, reporting definitions, and process flows while collaborating with technical and non-technical stakeholders.
Cisco
Data Analyst Intern
May 2019 – May 2021
- Developed ETL-style workflows using SSIS and Azure Data Factory to automate extraction and transformation of operational and network-related datasets.
- Wrote SQL and Python scripts for KPI generation, reporting, and data validation.
- Built dashboards and structured reports that improved visibility into business and technical performance metrics.
Skills
Tools I work with
A combined stack covering analytics, data science, engineering, cloud, visualization, and research-oriented technologies.
Analytics & Data Science
Data Engineering
BI & Visualization
Cloud & Platforms
Systems & Tools
Research Interests
Publications
Published research
Research work reflecting my interest in RF systems, electromagnetics, and applied engineering.
A Compact Frequency-Reconfigurable Antenna with Enhanced Bandwidth for WLAN Applications
IJCRT, 2021
Research on a compact frequency-reconfigurable antenna design focused on bandwidth improvement and WLAN applications.
A Compact Metamaterial-Based Dual-Band Antenna with Improved Gain for WLAN
IJRASET, 2021
Research on a dual-band antenna using metamaterial concepts to improve gain and return loss for WLAN use cases.