/about · the particulars
Came from design. Stayed for the mess.
Two design internships, a conference and three student clubs before a line of production code. Then iOS, fraud models, consulting, finance pipelines. The pattern: I get handed the vague part, and I come back with something that runs.
Gujarat, India · jayhemnani992000@gmail.com
Résumé, by role
Experience
5 roles. Bullets are outcomes, not duties.
Summer 2025
full-time
Data Analyst @ Elite Hotel Group
- Defined metrics and SLAs with finance and operations, which became the spec for the ETL and forecasting work.
- Built automated ETL pipelines in SQL and Python, cutting manual data preparation by 40% and making multi-property analytics more consistent.
- Built interactive dashboards in Tableau and Power BI for occupancy, revenue, and KPI tracking across multiple hotel properties.
- Built time-series demand forecasting models for dynamic pricing and revenue management decisions.
PythonSQLTableauPower BIAirflow2022-2024
contract
Technical Consultant @ Independent
- Did data analytics and pipeline consulting for small businesses; built their reporting automation and data infrastructure.
- Designed A/B testing frameworks and tracked engagement metrics to improve client campaigns and product decisions.
PythonSQLGoogle AnalyticsMixpanelTableauFigmaJan-May 2022
internship
AI/ML Intern @ Amnex
- Built a credit fraud detection ensemble (Random Forest, XGBoost) with SMOTE for class imbalance; it reached 94% precision on transaction data.
- Built automated analytics dashboards on statistical models for operational reporting and anomaly detection.
PythonScikit-learnTensorFlowPandasNumPyXGBoostJun-Aug 2021
internship
iOS App Development Intern @ Cygnus SoftTech
- Built CodeLock, an iOS privacy/security app with AES encryption and secure local storage on Core Data.
- Added user engagement analytics and reworked the UX from usage patterns and retention data.
SwiftUIKitCore DataXcodeGitMay-Nov 2019
internship
SWE Intern @ Cactus Creatives Pvt. Ltd.
- Built a cloud-native communication platform for first responders: microservices on Azure with REST APIs.
- Set up CI/CD pipelines for automated testing and deployment, cutting deployment time by 60%.
AzureCI/CDMicroservicesREST APIsDocker
Stack
Grouped the way the resume groups them. Click a group to see what is in it.
no percentage bars. nobody is 80% Python.
Publications
2, IEEE AIMV 2021. Where the published number and the committed notebook disagree, the gap is stated plainly.
2021
Diabetes Prediction using Stacking Classifier
IEEE International Conference on Artificial Intelligence and Machine Vision (AIMV)
Six-model stack, 82.68% accuracy as published; the committed notebook reproduces 73.59% on a 30% held-out test set.
ieeexplore : Diabetes Prediction using Stacking Classifier (opens in a new tab)code for Diabetes Prediction using Stacking Classifier (opens in a new tab)
2021
Efficient vaccine scheduler based on CPU scheduling algorithms
IEEE International Conference on Artificial Intelligence and Machine Vision (AIMV)
Applied CPU-scheduling ideas to vaccine-distribution scheduling; the implementation is the 9-algorithm visualizer.
ieeexplore : Efficient vaccine scheduler based on CPU scheduling algorithms (opens in a new tab)code for Efficient vaccine scheduler based on CPU scheduling algorithms (opens in a new tab)
Education and elsewhere
2018 → 2022 · Gandhinagar, India
B.Tech in Computer Engineering
Pandit Deendayal Energy University (PDEU) · GPA 8.7/10
Big Data Analytics · Computer Vision · Natural Language Processing · Operating Systems · Database Systems · Software Development
Off the clock
Rubik's Cube: 16.7 sec (WCA). Wrote the timer.