Headline

Automation Developer · n8n · Meta Graph API · Webhook Pipelines | MBA in Finance and Operations | Jamia Millia Islamia

About

I automate things that shouldn't require a human doing them manually every day. Two projects I've built recently: A system that checks 3 competitor pricing pages every morning, spots what changed, and sends a summary with a sales recommendation to Slack , no manual work involved An Instagram pipeline that turns comment triggers into automated DMs, rebuilt it from scratch when Meta changed their API and broke every existing tutorial Both still running. I have an MBA in Finance and Operations, an M.Sc. in Bioinformatics, and a few years of data analytics work before that. The mixed background is actually useful, I understand what a business needs from a system, not just how to wire one together. Stack: n8n, JavaScript, REST APIs, OAuth 2.0, Google Sheets API, Slack API, OpenRouter, Jina AI, Meta Graph API Looking for automation or AI agent roles. Based in Delhi NCR, open to remote.

Location

Delhi

Work experience

Data Analyst Intern at Analytics Career Connect, Dec 2025 - Jan 2026 · 2 mos, Remote

Data Analyst Intern at Elevate Labs, Aug 2025 - Sep 2025 · 2 mos, Remote, Performing end-to-end data analysis including cleaning, filtering, and structuring datasets. Writing SQL queries to extract and organize relevant information. Creating reports and visual dashboards in Power BI to summarize insights. Documenting findings and presenting insights for decision-making.

Intracity Fleet operation intern at Delhivery, Apr 2025 - Aug 2025 · 5 mos, Gurugram, Haryana, India, Handled operational data tracking and record management. Ensured accuracy in delivery and dispatch information. Collaborated with team members to maintain data integrity.

QA/QC at Quality Austria Central Asia Pvt. Ltd., Nov 2024 - Feb 2025 · 4 mos, Noida, Uttar Pradesh, India

Dissertation Trainee at AIIMS (All India Institute of Medical Sciences, New Delhi), Mar 2024 - May 2024 · 3 mos, Analysis of plasma derived exosome miRNA sequencing data to identify Potential Biomarkers for Coronary Artery Disease The aim of this study is to employ advanced bioinformatics tools to analyse the raw exosomal RNA next-generation sequencing (NGS) data. Specifically, the focus is on identifying differentially expressed miRNAs and their functional implications by conducting pathway analysis and gene annotation. This research presents studies on the downregulation of microRNAs (miRNAs) and its significance in the pathogenesis of coronary artery disease (CAD). After thorough analysis, it was shown that CAD patients had lower levels of several miRNAs than controls. These results were consistent with other research showing the role of miRNAs. Subsequent analysis showed that miR-486-5p stimulates endothelial dysfunction and inflammation, whereas miR-92a exacerbates oxidative stress and inflammation, all of which are factors in the pathogenesis of CAD. Furthermore, elevated miRNAs are discovered to be possible biomarkers for the identification and prediction of CAD. These miRNAs include hsa-miR-381-5p, hsa-miR-141-3p, hsa-miR-361-5p, and hsa-miR-29a-3p. This research provides important novel knowledge for future research and clinical applications by highlighting the crucial role of miRNAs on CAD and highlighting their potential as a diagnostic and therapeutic approach.

Education

Master of Business Administration, Finance and Operations, Jamia Millia Islamia

Master of Science, Bioinformatics, Jamia Millia Islamia