Luv Surve

Data Science M.Sc. student at TU Braunschweig with hands-on cloud data engineering and analytics experience from an internship at Spairliners GmbH (ETL pipelines on Microsoft Fabric, Azure Databricks, and Azure Data Factory) and research-assistant work on network and camera infrastructure, NAS servers, and GPR subsurface-imaging pipelines. IBM-certified Data Science Professional. Currently completing a Master's thesis on uncertainty-aware resilience-state inference for industrial WiFi networks; seeking a full-time Data Engineering / Data Science role in Germany from early 2027.

• CSS
• Docker
• Flask
• Git
• HTML
• PHP
• Power BI
• Python
• SAP
• SQL
• Tableau
• VPN

1. Student Assistant (HiWi)

   IMN – Institut für mobile Maschinen und Nutzfahrzeuge

   mars 2026 to Aujourd’hui

   Braunschweig, Germany

   • Monitor and manage communication lab infrastructure including servers, NAS storage, network and camera systems, VPNs, and weather stations. • Conduct R&D on subsurface imaging; develop control UIs and 1D, 2D, and 3D visualisation pipelines for Ground Penetrating Radar (GPR) data.

2. Data Engineering Intern

   Spairliners GmbH

   févr. 2025 to sept. 2025

   Hamburg, Germany

   • Migrated Power BI assets and datasets to Microsoft Fabric, optimising workspace organisation and dataset refresh processes. • Built and maintained ETL pipelines in Azure Databricks and Azure Data Factory, integrating SAP, Dataverse, and SharePoint data for Supply Chain, Engineering, and Finance teams. • Developed and enhanced Power BI dashboards for CRM KPIs, AOG tracking, Cashflow, and SAP data quality, improving visibility for business and operational departments. • Implemented delta ingestion workflows and SQL validation scripts to ensure data consistency and reliability across multiple systems. • Supported data governance and Fabric architecture setup to enable scalable BI solutions for cross-departmental analytics. • Managed version control and deployments via Azure DevOps (Repos, Boards, Pipelines).

3. Student Assistant (HiWi)

   Institute for Acoustics and Dynamics

   sept. 2024 to févr. 2025

   Braunschweig, Germany

   • Developed FEM data visualisation tools, converting HDF5 simulation files into 3D mesh objects for PyVista. • Built interactive Jupyter-based dashboards for structural 3D visualisation; assisted in preparing mathematical model-fitting teaching materials.

4. Data Analyst (Working Student)

   Paceheads

   déc. 2023 to juin 2024

   Göttingen, Germany

   • Developed Google Looker Studio dashboards tracking subscription lifecycles, product refurbishment KPIs, equipment retrieval timelines, and personnel allocation metrics. • Designed demand-forecasting dashboards from historical product data to support business planning decisions. • Created a price database interface for quick product information retrieval with special user team access. • Created a Unit Economics dashboard to report individual product performance.

5. Data Science Associate

   Blackcoffer

   oct. 2022 to oct. 2023

   Delhi, India

   • Built a Python-based automated pipeline for 25+ businesses to fetch and clean Google Reviews data, storing results in BigQuery and deploying the service via Heroku. • Developed and sustained 25+ Google Looker Studio client dashboards to showcase BigQuery, Google Ads, and API data analytics. • Performed EDA on multiple datasets; created Power BI dashboards surfacing KPIs and supported predictive ML model development.

6. Intern (Remote)

   The Sparks Foundation - Graduate Rotational Internship Program

   août 2020 to sept. 2020

   Singapore

   • Performed exploratory data analysis on superstore and introductory datasets, identified patterns and weak-performing areas, and suggested solutions. • Assessed supervised and unsupervised machine learning algorithms, including decision tree classifiers, and visualised results graphically.

7. Intern (Remote)

   ICT Academy of Kerala

   août 2020 to août 2020

   Thiruvananthapuram, India

   • Built computer vision face-detection modules for video files and preprocessed a 390k-row income dataset, reaching ~84% accuracy with SVM, KNN, and Random Forest. • Retrieved and analysed Twitter sentiment data via the Twitter API, achieving a score of 82 in a sentiment analysis competition.

1. TU Braunschweig

   M.Sc., Data Science

   Germany

   2023

   92/120 Credits, Prelim. Grade: 2.1 Master's Thesis: Uncertainty-Aware Resilience-State Inference for Industrial Wireless Networks - Institute of Operating Systems and Computer Networks, TU Braunschweig - (Jun 2026 – Dec 2026) Key Grades: Continuous Optimisation (1.0), Probability and Statistics for Data Science (1.0), Biomedical Image and Signal Analysis (1.7), Deep Learning in Remote Sensing (2.0), Computer Vision (2.0) Further Courses: ML with Neural Networks, Scientific Presentation & Writing, Introduction to Machine Learning, Pattern Recognition, Computational Geometry

2. APJ Abdul Kalam Technological University

   B.Tech (Hons), CSE

   India

   2018 to 2022

   9.17/10 CGPA - CS Dept. Excellence Award

• IoT and Data Science Workshop (2 CP)

  makerAcademy & TU Braunschweig

• IBM Data Science Professional Certificate (10-Course Specialisation)

  Coursera