Hi, I'm
Syed Junaid
I turn raw data into |
BCA graduate from Bangalore University building end-to-end data pipelines — from messy source tables to warehouse schemas to dashboards people actually make decisions with.
Making sense of data, one pipeline at a time.
I'm an aspiring Data Analyst and Data Engineer with a Bachelor of Computer Applications from Bangalore University. I like taking messy, real-world data — millions of transactions, support tickets, customer records — and building the pipelines, warehouses and dashboards that turn it into something a business can act on.
My focus right now is Python and SQL for analysis, PostgreSQL for warehousing, and Power BI for storytelling with data. I'm currently deepening my skills in machine learning and data engineering so I can own more of the pipeline, from ingestion to insight.
- role
- Aspiring Data Analyst / BI Dev
- education
- BCA, Bangalore University
- focus
- Python · SQL · Power BI
- location
- Bengaluru, India
The stack behind the pipelines
Languages
Databases
Analytics
Libraries
Engineering
Currently learning
Corporate Experience
Data Analytics Virtual Intern
Tata Group (via Forage)
- Executed a comprehensive corporate data analytics simulation, fulfilling targeted business requests for e-commerce revenue analysis and operational forecasting.
- Developed interactive data visualization reports to translate raw transactional datasets into clear, executive-ready performance metrics, simulating a 15% reduction in reporting time.
- Synthesized technical findings into a professional internship log book, effectively communicating data-driven business recommendations to simulated stakeholders.
Featured Architecture
Enterprise AML & Financial Fraud Data Platform
-- flagshipEngineered an end-to-end scalable data pipeline processing 5,000,000+ financial transactions, utilizing Python to extract data and SQL to build a risk-scoring Data Mart.
- Processed 5M+ international transactions.
- Architected PostgreSQL star-schema warehouse.
- Utilized SQL window functions for high-tier anomaly scoring.
- Built interactive Power BI dashboard reducing investigation noise.
AI Customer Support Analytics Pipeline
-- nlpAutomated pipeline processing 8,400+ unstructured support tickets using the Llama 3.1 API for sentiment extraction and categorizing root hardware causes.
- Analyzed 8,400+ raw support tickets.
- Integrated AI prompt engineering for sentiment extraction.
- Maintained data integrity using SQL CTEs for aggregation.
- Powered live Power BI dashboards for operational pivots.
Telco Customer Churn Predictive Analytics
-- mlPredictive analytics pipeline training a Random Forest machine learning model to identify at-risk customers, projecting ₹3.98L in actionable net profit.
- Extracted structured demographic data via PostgreSQL.
- Trained Random Forest classifier achieving 74% prediction accuracy.
- Built an Excel financial model visualizing key churn drivers.
- Mapped out actionable net profit for executive stakeholders.
Automated Python Reporting Pipeline
-- automationFully automated daily reporting engine utilizing SQLite3 and Pandas to dynamically extract daily sales data and dispatch via scheduled SMTP.
- Eliminated manual daily report preparation workflows.
- Generated dynamic, error-free Excel summaries.
- Automated distribution using SMTP email protocols.
- Ensured zero-latency reporting for daily review.
Verified Credentials
Business Analysis Basics
Issued by: Simplilearn
Power BI for Beginners
Issued by: Simplilearn
Python for Data Analysis
Issued by: Simplilearn
Let's work together
Open to Data Analyst, BI Analyst and Junior Data Engineer roles. Reach out — I usually reply within a day.