Shubham Satyam

Machine Learning enthusiast with strong expertise in Python, data analysis, and predictive modeling. Passionate about Natural Language Processing (NLP), deep learning, and AI-driven solutions, with a focus on building intelligent systems that solve real-world problems using data-driven approaches.

Software Developer at Maa Gayatri Enterprise (2024-03 – 2025-11)

• Developed an Android system using TCP protocol to communicate with the Bihar VLTS server, handling real-time data transmission.
• Built backend automation using Firebase Authentication, Firestore, and Firebase Functions for secure and scalable workflows.
• Developed a Plotly-Dash analytics application for revenue visualization, usage insights, and operational metrics.
• Created Django-based admin panels for data management, reporting, and monitoring system performance.
• Integrated Cashfree Payment Gateway and implemented data tracking to analyze payment trends.

Data Science Associate at Blackcoffer (2022-11 – 2023-09)

• Managed multiple concurrent projects, contributing to the development and implementation of various technologies including AWS, GCP, ETL pipeline, recommendation models, and image processing.
• Generated insightful reports using PowerBI, Swydo, and Looker Studio, facilitating data-driven decision-making processes.
• Conducted daily data manipulation tasks using Python libraries such as Pandas, NumPy, and Matplotlib to analyze and visualize data effectively.
• Played a key role in text extraction, PDF parsing, text analysis, and webpage automation tasks to optimize workflow efficiency and productivity.
• Proficiently utilized CRMs such as Salesforce and GoHighLevel to streamline operations and enhance client interactions.

Freelance Python Developer at Self Employed (2023-10 – 2025-05)

• Developed custom Python scripts for web scraping, automated data extraction, and ETL workflows using Pandas and Selenium.
• Built interactive Plotly-Dash dashboards to present insights, trends, and analytics to clients.
• Provided Databricks support for scalable data processing, workflow automation, and analytics pipelines.
• Automated repetitive tasks using Python, improving system efficiency and speeding up data processing.

B.Tech in CSE(AIML) – Galgotias University (2019 – 2023)