
A competent professional with hands-on expertise in Power BI, Microsoft Fabric, SQL, and Power Automate. I've helped global organizations save over €200k by streamlining business processes and driving smarter, data-driven decisions. With a Master’s in High Integrity Systems and a strong foundation across data analytics, web development, and project management, I bring both technical skill and business acumen to every project. Known for my work ethics, integrity, and creativity, I'm now excited to take on my next impactful role where I can build innovative solutions and help businesses grow.
Data Analyst (Freelancer)
Data and Automation Analyst
Quipu GmbH (Procredit Group)Data and Automation Analyst
Merck GroupSoftware Engineer
Hostmi GmbHData and Marketing Analyst
Metro CeramicsSoftware Engineer / Analyst
Infozech Software Pvt. Ltd.MSc. High Integrity Systems (Computer Science)
Frankfurt University of Applied SciencesGPA: 1.9 (Scale- 1 maximum, 4 minimum)
B.Tech in Computer Science
Jamia HamdardCGPA: 8.56/10, Head of Design - IEEE Student Branch, Sponsorship Head - College fest 2015/16.
Master's thesis - Analysis and Detection of Anomalies in Event Communication (Grade- 1.0)
Analyzed 3M+ event data points with Python and Azure Data Explorer, identifying anomaly patterns that reduced system maintenance costs for the third largest energy provider company of Germany, EnBW AG.
Elicitation using Automation and AI
An automation project made on procuring financial tables and translating text to languages of countries where the ProCredit bank operates from the quarterly reports using AI builder and RPA in Power Automate and ChatGPT API.
Microsoft Fabric end-to-end project using Google News API
Set up a data pipeline that fetched the latest news json returned by the Rapid google API into a table, analyzed the news sentiments using Notebooks and visualized the results in PowerBI. The whole solution was managed in a deployment pipeline.
CO2 emissions extraction from ESG reports of DAX Companies
Built an automated solution to extract relevant pieces of info from the ESG reports of companies using table and text processing techniques in Python. Fed the info in Huggingface transformers to finally extract the Scope 1 and 2 emission values.