Available for Opportunities
VAIBHAV PAL
Data Scientist Data Engineer AI / ML Engineer Data Analyst

Building scalable Azure ETL pipelines, LLM-based RAG systems, and predictive ML models. Turning raw data into business intelligence that actually moves the needle.

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Vaibhav Pal
Vaibhav Pal
Data Scientist & Engineer
Open to Work
1+ Years
Available for Work
About Me

WHO I AM

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Profile
THE OVERVIEW

I'm a Data Scientist & Data Engineer finishing my M.Sc in Data Science at Chandigarh University. I specialise in building production-grade data systems on Microsoft Azure.

At AthenaSoft, I architect Azure Synapse ETL pipelines using the Medallion architecture, processing large-scale structured data to power near real-time Power BI dashboards.

My work spans LLM-based RAG pipelines, ML model development, dimensional data warehousing, and REST API-driven ingestion — all built for scale and clarity.

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Details
PERSONAL INFO
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Masters
M.Sc Data Science — Chandigarh University (GPA 7.42)
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Bachelors
B.Sc Statistics — VNSGU, Gujarat (GPA 7.27)
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Location
Keshav Nagar, Pandesara, Surat, Gujarat
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Languages
English · Hindi · Gujarati
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Date of Birth
1st June 2003
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Email
pal861756@gmail.com
Technical Skills

MY ARSENAL

Programming Languages
PythonSQLPySparkR (basic)
Frameworks & Libraries
PandasNumPyScikit-learnPyTorchLangChainStreamlitMatplotlibSeaborn
Big Data & Cloud
Azure SynapseDelta LakeSpark StreamingADLS Gen2Azure CLI
Visualization
Power BITableauExcel
AI / ML / GenAI
Machine LearningDeep LearningGenerative AIRAG SystemsNLPChromaDB
Tools & Architecture
Git / GitHubJupyterMLOpsMedallion ArchStar Schema
Python95%
Machine Learning88%
Artificial Intelligence85%
Deep Learning80%
Generative AI82%
SQL & Data Engineering90%
Experience

WHERE I'VE WORKED

AthenaSoft
● Current
DATA ENGINEER (AZURE & PYSPARK) · DATA SCIENTIST — APR 2025 → PRESENT
  • Architected scalable Azure Synapse ETL pipelines for Schoology LMS using Medallion (Bronze–Silver–Gold) architecture.
  • Built optimised pipelines with PySpark, SQL, and Delta Lake — partition pruning & efficient storage improved query speed significantly.
  • Designed star schema data models and automated API-driven refresh pipelines powering near real-time Power BI reporting.
Swift Innovations
Nov 2024 → Jan 2025
DATA SCIENCE INTERN
  • Conducted hands-on sessions on Python programming, data analysis, and visualisation.
  • Delivered ML training covering supervised & unsupervised learning, regression, and decision trees.
  • Supervised applied projects using logistic regression, linear regression, and tree-based models.
Projects

WHAT I'VE BUILT

01
SCHOOLOGY LMS PIPELINE
Azure Synapse PySpark Delta Lake Power BI
  • Medallion (Bronze–Silver–Gold) ETL with event-based & API-driven ingestion for large-scale LMS data.
  • Delta Lake + partition pruning + Spark Structured Streaming — drastically cut execution time.
  • Star schema models powering near real-time Power BI dashboards via automated refresh.
02
CANVAS LMS ANALYTICS
Azure PySpark ADLS Gen2 Power BI
  • Canvas LMS deployed locally; REST APIs across 8+ core entities for centralised data collection.
  • Medallion architecture + student-question fact tables with enriched performance metrics.
  • Dimensional star schema warehouse + interactive Power BI dashboards.
03
RAG DOCUMENT PIPELINE
Python LangChain ChromaDB HuggingFace
  • End-to-end LLM-based RAG pipeline for intelligent document processing over PDFs & text.
  • Advanced NLP pipelines: extraction → chunking → metadata enrichment for high retrieval accuracy.
  • Transformer vector embeddings + ChromaDB — low-latency scalable document querying.
04
CHURN PREDICTION ML
Python Scikit-learn Random Forest Feature Eng.
  • ML model on telecom dataset: 7K+ records & 20+ features — proactive churn prediction.
  • Logistic Regression + Random Forest → AUC-ROC > 0.85 with strong generalisation.
  • Improved accuracy by 15% via feature optimisation & hyperparameter tuning.
Certifications

CREDENTIALS

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Coursera · Professional Certificate
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Coursera · Industry Certificate
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Microsoft · Fabric Data Engineer Certificate(DP-700)
NPTEL · IIT Programme
Contact
LET'S BUILD
SOMETHING
GREAT
✉️pal861756@gmail.com 💼LinkedIn Profile ⌨️GitHub

I'm a Data Scientist & Engineer actively seeking full-time opportunities. Whether you need scalable data pipelines, ML predictive models, or AI-powered RAG applications — I'd love to discuss how I can add value to your team.

Analytical
Leadership
Teamwork
Problem Solving
Communication
Time Management
Send a Message