Open to opportunities

Sandesh Ns

@sandeshns

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Senior Data Scientist turning operational data into predictive, actionable insights.

Germany

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What I'm looking for

I’m looking for a role where I can build predictive models and BI dashboards, turn complex logs into reliable insights, and partner with stakeholders to continuously improve decisions through data.

I’m a Senior Data Scientist focused on turning messy operational logs into clear signals. In my current work, I conduct exploratory research for fleet-level predictive maintenance, converting error logs into time-windowed features and benchmarking supervised learning for failure-risk estimation.

I build practical analytics that teams can use day-to-day. I partner with engineering and operations to design anomaly-detection dashboards using time-series analysis, surfacing irregular spikes in chair-lifter error logs and guiding smarter decisions.

Previously, I led high-impact data and analytics initiatives, including a data vendor migration with seamless ETL layer integration and optimized data architecture. I also optimized legacy SAS code by implementing stored procedures on SQL, achieving a 70–80% runtime improvement, while streamlining secure API-driven workflows.

I care about end-to-end reliability and governance, from data pipelines in Azure Databricks to secure access management using Tableau RBAC. I enjoy connecting stakeholders to the “why” behind the numbers—whether through BI reporting, forecasting projects (ARIMA/LSTM), or real-time ML work like embedded keyword spotting.

Experience

Work history, roles, and key accomplishments

Current

Working Student Data Research

Current

TK Elevator

Jun 2025 - Present (1 year 2 months)

Conducted exploratory research on fleet-level predictive maintenance, engineering time-windowed features and benchmarking supervised learning methods for failure risk estimation. Built an anomaly-detection dashboard using time-series analysis and developed Azure Databricks data pipelines to clean and integrate structured and unstructured datasets.

Predictive Maintenance Time Series Analysis Anomaly Detection Failure Risk Estimation Supervised Learning Feature Engineering Data Pipelines Azure Databricks Data Cleaning data transformation

Senior Data Scientist

Infosys Ltd

Sep 2023 - Aug 2024 (11 months)

Led the Denmark Data Vendor Migration, ensuring seamless ETL layer integration and optimizing data architecture for secure API-based transfers. Improved legacy SAS/SQL processing via stored procedures and created reporting requirements in JIRA/Confluence, including Tableau security enhancements to strengthen data governance and compliance.

ETL Data Architecture API Integration SharePoint SAS Stored Procedures SQL Jira Confluence Tableau RBAC Data Governance Data Compliance

Business Intelligence Analyst

DanskeIT

Oct 2021 - Aug 2023 (1 year 10 months)

Automated salary data collection for 11 European countries using secure retrieval setups and streamlined data cleanup/validation to improve accuracy and consistency. Delivered analytics for gender pay gap and designation-based pay patterns to support bonus-calculation decisions, and mentored team members to strengthen reporting workflows.

Data Automation Data Validation Analytics Gender Pay Gap Reporting Reporting Stakeholder Communication Mentorship

Associate Business Intelligence Analyst

DanskeIT

Aug 2019 - Sep 2021 (2 years 1 month)

Produced actionable Tableau insights and created a rehabilitation report analyzing application percentages by department across Sweden. Fulfilled high-volume ad-hoc requests with SQL and automated employee training dataset processing using Excel Macros and VBA to enable efficient file retrieval, cleanup, and preprocessing.

Tableau SQL Data Reporting Excel Macros VBA data preprocessing

Student Coordinator

Hochschule Emden/Leer

Coordinated student support activities at Hochschule Emden/Leer, including organizing events and serving as a buddy for new students. Prepared presentations and documentation to support smooth transitions for incoming cohorts.

Student Support Event Coordination Documentation