/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 (Open to Relocate) · jayhemnani992000@gmail.com

Résumé, by role ·Forward-DeployedData EngineerML EngineerBackend / SWEData Analyst

Experience

5 roles. Bullets are outcomes, not duties.

  1. Summer 2025
    full-time

    Data Analyst · Elite Hotel Group

    • Engineered automated ETL pipelines using SQL and Python, reducing manual data preparation by 40% and improving data consistency across multi-property analytics.
    • Built interactive dashboards in Tableau and Power BI for occupancy, revenue, and KPI tracking across multiple hotel properties.
    • Developed demand forecasting models using time-series analysis to support dynamic pricing and revenue management decisions.
    PythonSQLTableauPower BIAirflow
  2. 2022-2024
    contract

    Technical Consultant · Independent

    • Provided data analytics and pipeline consulting for small businesses, building reporting automation and data infrastructure solutions.
    • Designed A/B testing frameworks and tracked engagement metrics to optimize client campaigns and product decisions.
    PythonSQLGoogle AnalyticsMixpanelTableauFigma
  3. Jan-May 2022
    internship

    AI/ML Intern · Amnex

    • Built credit fraud detection system using ensemble ML (Random Forest, XGBoost) with SMOTE for class imbalance, achieving 94% precision on transaction data.
    • Developed automated analytics dashboards with statistical models for operational reporting and anomaly detection.
    PythonScikit-learnTensorFlowPandasNumPyXGBoost
  4. Jun-Aug 2021
    internship

    iOS App Development Intern · Cygnus SoftTech

    • Developed CodeLock, an iOS privacy/security app with AES encryption and secure local storage using Core Data.
    • Instrumented user engagement analytics and iterated on UX based on usage patterns and retention data.
    SwiftUIKitCore DataXcodeGit
  5. May-Nov 2019
    internship

    SWE Intern · Cactus Creatives Pvt. Ltd.

    • Built cloud-native communication platform for first responders using microservices architecture on Azure with REST APIs.
    • Configured CI/CD pipelines for automated testing and deployment, reducing deployment time by 60%.
    AzureCI/CDMicroservicesREST APIsDocker

Stack

Grouped the way the resume groups them. Click a group to see where it was used.

// no percentage bars. nobody is 80% Python.

PythonSQLJavaGoJavaScriptTypeScriptC++

Publications

2, IEEE AIMV 2021. With the gap between the published number and the committed notebook stated plainly.

  1. Diabetes Prediction using Stacking Classifier

    IEEE International Conference on Artificial Intelligence and Machine Vision (AIMV) · 2021

    Six-model stack, 82.68% accuracy as published; the committed notebook reproduces 74.46% on a 30% held-out test set.

    ieeexplore ↗notebook ↗

    Published 82.68% · reproduced 74.46%.

  2. CPU Scheduling Algorithms Analysis

    IEEE International Conference on Artificial Intelligence and Machine Vision (AIMV) · 2021

    Applied CPU-scheduling ideas to vaccine-distribution scheduling; the implementation is the 9-algorithm visualizer.

    ieeexplore ↗notebook ↗

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

Open source

4 merged pull requests to repositories not my own, by repo and number so the diff can be read directly.

verify all ↗

Off the clock

Rubik's Cube: 16.7 sec (WCA). Wrote the timer.