Akshat Safya

Software Developer at Siemens Energy

Hello! I'mAkshat Safya

Based in Berlin, I build internal data products on Snowflake and Streamlit for the Gas Insulated Switchgear product management team, covering the full path from raw SAP and PLM data to the pipelines, dashboards, and applications teams rely on every day. My background spans data analysis, machine learning, and electronics, and I work AI-native, using modern AI tools to turn ideas into working products fast.

Currently Building

What I'm working on in Product Management for Gas Insulated Switchgear.

01

Parts Overview Tool

An internal data product built on Snowflake and Streamlit, designing and implementing both the data pipelines and application layer.

02

Supplier Performance Dashboard

Snowflake views over SAP MM purchasing data that track delivery-reliability KPIs such as Liefertreue and Wunschtermintreue.

03

PLM Data Integration

Scoping the extraction of Oracle Agile PLM data into Snowflake for the product management team.

Toolkit

Tap any skill to see everywhere I've used it.

Data Platforms

Where I spend most of my days.

AI

From idea to working product, accelerated by AI.

Languages

Python first.

C

Apps and BI

Turning data into something people use.

Tools

The everyday kit.

MS Office

Experience

  1. Software Developer

    09/2026 – Present

    Siemens Energy · Product Management, Gas Insulated Switchgear · Berlin, Germany

    • Building data products and pipelines on Snowflake, Snowpark, and Streamlit.
  2. Working Student – Account Management Europe

    11/2024 – 08/2026

    Siemens Energy · Erlangen, Germany

    • Designed and maintained financial dashboards supporting decision-making for Key Account Managers.
    • Supported Salesforce data quality, system optimization, and process improvements.
    • Contributed to business development through market trend analysis.
  3. Data Analyst Intern

    11/2022 – 11/2023

    QRS Magnovit AG · Liechtenstein (remote)

    • Analyzed and managed datasets with SQL and Python while ensuring data integrity and HIPAA compliance.
    • Developed scheduling algorithms in R that increased daily patient throughput by 20%.
    • Built Power BI dashboards that contributed to a 15% revenue increase.
  4. Data Science Intern

    07/2022 – 10/2022

    Omdena · Delhi (remote)

    • Built a machine learning credit scoring model for 5,000+ smallholder farmers.
    • Engineered creditworthiness features with SQL and Pandas to improve prediction reliability.

Projects

Sales Performance Dashboard

Interactive Power BI dashboard tracking monthly sales, regional performance, and product profitability, with DAX measures for year-over-year growth and running totals.

Machine Learning Health Analyzer

Arduino UNO sensor rig feeding real-time health parameters into a logistic regression model, reaching 80% accuracy in assessing health status.

Stock Market Forecasting Model

Regression-based forecasting on historical market data, with feature engineering and PCA for dimensionality reduction.

This Website

Rebuilt from scratch in Astro with an EN/DE toggle, scroll-driven effects, and a live skill explorer, developed AI-native from the first line of code.

Let's Connect

Open to conversations about data products, energy, and building faster with AI.

Skill Explorer