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Business Analytics & Data Science · MSBA @ UCLA Anderson

Data Engineer and ML practitioner building pipelines, predictive models, and AI applications. Open to opportunities in data science, ML engineering, and analytics.

zsh — vishw@portfolio
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Vishw Vekariya

About

Master's student in Business Analytics and Data Science at UCLA Anderson (Dec 2026), with a B.Tech in Computer Science from SVNIT. Experienced in building data pipelines with Airflow, Scala, and PySpark at MAQ Software for LinkedIn, and in developing ML models for resume screening and stock prediction. Skilled in Python, TensorFlow, XGBoost, and cloud platforms. Based in Los Angeles and open to relocate.

about_me.py
1def get_profile():
2    return {
3        "role": "Data Engineer & ML",
4        "stack": ["Python", "PySpark", "TensorFlow", "Airflow"],
5        "location": "Los Angeles, CA",
6        "status": "Open to opportunities"
7    }

Experience

Jan 2025 – Jun 2025

Associate Software Engineer – Data Engineer

MAQ Software / LinkedIn · Noida, India

  • Engineered 15 distinct Airflow DAGs for LinkedIn Flagship Backend team using Scala and PySpark to automate data transformation workflows, achieving a 97% success rate in execution.
  • Integrated Azure Pipelines and Logic Apps to trigger email alerts for critical reporting workflows, improving report accuracy by 15%.
May 2024 – Jul 2024

Software Engineer Intern

Reliance Industries Ltd. · Mumbai, India

  • Pioneered adoption of Angular CLI and Spring Boot for the Visitor Management System, improving code maintainability and team efficiency by 20%, accelerating feature delivery for 10,000+ daily visitor entries.
  • Developed an OpenCV-based module to automate visitor card data capture with 98% accuracy, reducing manual entry errors and strengthening security compliance.
May 2023 – Aug 2023

Machine Learning Intern

Techs Network · Bengaluru, India

  • Developed a resume screening model using TensorFlow and XGBoost, achieving 95% accuracy in identifying qualified candidates.
  • Accelerated an LSTM model using TensorFlow, achieving 12% improvement in stock prediction accuracy compared to baseline.

Education

Expected Dec 2026

Master of Science in Data Science and Business Analytics (MSBA)

UCLA Anderson School of Management · Los Angeles, CA

Coursework: Machine Learning, Data Management, Optimization, Probability & Statistics, Prescriptive Modeling, Data Analytics, Forecasting and Time Series, Data Visualization

Jun 2025

Bachelor of Technology in Computer Science and Engineering

Sardar Vallabhbhai National Institute of Technology (SVNIT) · Surat, India

Coursework: Data Science, Big Data Analytics, Software Engineering, Machine Learning, Statistics, Natural Language Processing, Artificial Intelligence

Skills

Python / Data 90%
ML & MLOps 85%
Data Pipelines / Cloud 80%
Full-stack & Tools 75%

Tech stack

Python Java SQL R Scala JavaScript Airflow PySpark TensorFlow XGBoost Scikit-learn Pandas React Flask Angular MongoDB Azure Google Cloud Git Power BI

Projects

Starbucks Recommender

Recommender system built for Starbucks at UCLA Anderson—fetches user requests and provides ranked recommendations based on NDCG score.

Exoplanet Discovery

ML pipeline for detecting exoplanets from NASA Kepler Dataset. Flask app with CNN and CNN+LSTM models achieving 97.85% accuracy; reduced processing time by 15%.

Heart Rate via Remote Photoplethysmography

Calculates heart rate from a web camera using remote photoplethysmography and a Gaussian pyramid. Achieved ~5 BPM mean absolute error vs. ECG.

Fourth Down ETL

NFL × weather analytics pipeline for fourth-down behavior: PySpark bronze-to-gold ETL, Airflow on GCP Composer or local runs, loads to Snowflake or DuckDB, with Tableau dashboards on curated fact tables.

Capturing SARS-CoV-2 Mutations with NLP

Research project using natural language processing to analyze and capture SARS-CoV-2 mutation patterns.

Sales Vision

AI-powered sales prediction dashboard using ARIMA and Prophet for time-series analysis, with daily, weekly, and monthly trend breakdowns.

Contact

Open to opportunities in data science, ML engineering, and analytics. Based in Los Angeles, open to relocate.