Vikram Prashar

Open to Data Science & ML roles

Vikram
Prashar

I turn messy operational data into models, forecasts, and five-click insights. Data Scientist & Machine Learning Engineer.

Portrait of Vikram Prashar

Currently

Data Engineer — Gathering data-driven insights for executive leadership.

Since 2025

Data Science & Machine Learning Toolkit

Python
SQL
PyTorch
TensorFlow
Keras
Airflow
Excel
Git
Java
JavaScript

Performance Metrics

10 Years

of Coding Exposure

Yes, really! I have been coding since high school!

5 click

Data Pipelines

I have turned multiple projects from a three-month cycle to one screen and 5 clicks.

+46

Performance Metrics

Generated and maintained ETL pipelines for contractor dashboards.

20,000+

Lines of Code YTD

Written over 20,000 non-AI generated lines of code in 2026.

Recent Projects

+12 shipped

Voice Powered Tesla Control

Currently working on a voice-controlled interface for using Google Assistant in Tesla vehicles.

  • CLI Tool
  • Python

PM ELT Pipeline

Replaced a weekly spreadsheet ritual with a 2 click operation that is reliable and is documented for newer employees.

  • MySQL
  • Alteryx
  • VBA

Experience

2025 — now

Data Engineer (Reporting and Analytics) · Hydro One

  • Built automated data pipelines and analytics solutions in Python and SQL for operational reporting, improving delivery efficiency by 85% and increasing VP/Director+ access to actionable insights
  • Designed 7+ enhancements to Python-based automation scripts and SQL queries for data transformation and file manipulation to support load procedures for dashboard visualizations in PowerBI
  • Demonstrated ability to analyze complex data and present findings clearly to support daily stakeholder activities related to Workforce Planning, Budget Planning and Forecasting, and Supply Chain trends

2023 — 2024

Software Engineer (Streetlighting Operations) · Toronto Hydro

  • Developed automated data pipelines for data ETL and reporting in Apache Airflow, Python, MySQL, and Git, driving over $50,000 in annual cost savings
  • Built 30+ operational reporting metrics and data visualizations in Python and MySQL, improving decision-making efficiency by 50% and reducing project duration by 25%
  • Implemented 2 relational database schemas to streamline ETL pipeline sub-processes and support daily workflow orchestration across streetlighting operations