Hi, I’m Pritish Samant, a data scientist focusing on time series analysis, activation/retention analytics, and building intelligent data tools that guide product decisions. I’m proficient in Python, SQL, and ML, and I enjoy shipping end-to-end projects—from exploration and modeling to dashboards and light automation. I’ve worked with thousands of wearable time-series data to drive product strategy and improve retention.…

Pritish Samant

Hi, I’m Pritish Samant, a data scientist focusing on time series analysis, activation/retention analytics, and building intelligent data tools that guide product decisions. I’m proficient in Python, SQL, and ML, and I enjoy shipping end-to-end projects—from exploration and modeling to dashboards and light automation. I’ve worked with thousands of wearable time-series data to drive product strategy and improve retention.…

Available to hire

Hi, I’m Pritish Samant, a data scientist focusing on time series analysis, activation/retention analytics, and building intelligent data tools that guide product decisions.

I’m proficient in Python, SQL, and ML, and I enjoy shipping end-to-end projects—from exploration and modeling to dashboards and light automation. I’ve worked with thousands of wearable time-series data to drive product strategy and improve retention.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert

Language

English
Advanced
German
Intermediate

Work Experience

Data Scientist at Microsynetics GmbH
May 1, 2024 - June 1, 2025
Designed and deployed ML + DL models (traditional ML, RNN/LSTM, ensemble methods) for fall detection using real-time sensor data, reducing false positives by 10%. Analyzed 10k+ wearable user time series and segmented engagement patterns that influenced product strategy and lifted retention by 15%. Built live dashboards (Python + Power BI + Plotly) covering fall detection, device uptime, battery health, and activity metrics. Automated diagnostics + reporting for product and support using Python scripts, removing repetitive manual investigation. Built forecasting models (scikit-learn, XGBoost, LightGBM) and deep sequence models for activity prediction.
Data Analyst at Siegwerk Druckfarben AG & Co. KGaA
February 1, 2022 - July 1, 2022
Analyzed IoT sustainability and circular economy/waste data leading to a 10% reduction in material waste. Built Tableau + Python dashboards for KPI reporting used by global operations. Applied tree-based machine learning to support waste reduction use cases. Automated Excel-heavy workflows via VBA + Python + pandas into reproducible pipelines.
IT Analyst Intern at Sales Shadow GmbH
October 1, 2021 - January 1, 2022
Resolved 15+ security vulnerabilities reducing breach incidents by 20%. Python-based pattern analysis on real estate data guiding sales insights.

Education

B.Eng. Electronics Engineering & Information Technology at Hamm-Lippstadt University
January 1, 2019 - January 1, 2024
B.E. Computer Science at University of Mumbai
January 1, 2013 - January 1, 2017

Qualifications

ISO/IEC 42001:2023: Understanding and Implementing the Artificial Intelligence Management System (AIMS) Standard
January 1, 2023 - December 23, 2025
Generative AI: Working with Large Language Models
January 11, 2030 - December 23, 2025
Microsoft Certified: Azure Administrator Associate
January 11, 2030 - December 23, 2025
Microsoft Certified: Azure AI Engineer Associate
January 11, 2030 - December 23, 2025
KPMG Data Analytics Consulting Virtual Internship
January 11, 2030 - December 23, 2025

Industry Experience

Computers & Electronics, Software & Internet, Professional Services