2
Years of experience
Dev Bhagat
About Me
My expert
areas
Skills
Python & SQL Programming
Data Analysis (Pandas, NumPy, Scikit-learn)
Database Management (MySQL, PostgreSQL)
Data Visualization (Matplotlib, Seaborn, Excel)
REST APIs & Data Ingestion
ETL Pipeline Development & Automation
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2
Years of Experience -
10
ETL Pipelines Processed Daily -
25
Data Dashboards Built -
85
Model Accuracy Achieved (in Percent)
Education
Experience
Farm Boy
Customer Service Representative & Receiver | February 2025 - Present
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Verified and reconciled inventory shipments maintaining 100% accurate stock records.
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Conducted 10+ routine inventory and data validation checks.
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Maintained structured documentation and operational logs under daily deadlines.
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Coordinated with cross-functional teams for inventory data accuracy and stock management.
Xpert Developer
Junior Python Developer | May 2023 - February 2024
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Built Python and SQL workflows supporting 2 internal teams.
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Designed data ingestion pipelines for 1-day structured reporting.
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Wrote optimized SQL queries across 10 table systems.
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Automated 24-hour scheduled jobs using Celery and Cron.
Pseudocode Infotech Pvt Ltd
Intern Engineer | December 2022 - April 2023
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Developed backend services using Django for data handling and retrieval.
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Managed database modeling and validation across 3 schemas.
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Structured datasets ensuring integrity across daily ETL workflows.
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Supported end-to-end data processing pipelines across 4 stages.
Certifications
Mendix Intermediate Developer
2022
Mendix Academy (Online)
Microsoft Azure Fundamentals (AZ-900)
2023
Microsoft / Certiport (Online)
Digital Marketing – Google Digital Garage
June 2020
Google Digital Garage (Online)
Projects
Conversational Cooking Assistant
Python NLP-Based Assistant
Analyst
Skills Used
- Python, NLP, Semantic Search, Data Structuring, Indexing
Key Roles
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Developed a conversational assistant using structured datasets and semantic search algorithms.
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Improved accuracy across 10+ query types through optimized data structuring.
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Streamlined and indexed 15+ dataset entries for efficient retrieval.
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Analyzed 5+ user query patterns and generated performance summary metrics ensuring 99% output consistency.
Legal Data Web Scraping & Automation Pipeline
Python Automation & ETL System
Analyst
Skills Used
- Python, Web Scraping, ETL Pipelines, Celery, Data Transformation
Key Roles
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Automated web scraping pipelines collecting high court judicial records daily.
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Cleaned and transformed raw legal records into query-ready analytical tables with 99% accuracy.
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Scheduled and processed 8+ ETL pipelines per day with 100% ingestion reliability.
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Reduced overall data delivery cycle time by 60% through pipeline optimization.
Music Genre Prediction
Data Analytics & Audio Feature Modeling
Data Analyst
Skills Used
- Python, Pandas, Matplotlib, Seaborn, Classification Models
Key Roles
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Processed high-dimensional audio feature datasets for normalization and transformation.
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Conducted exploratory data analysis across 5+ music genres.
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Engineered numerical features and trained supervised models achieving 85% prediction accuracy.
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Visualized feature importance and performance across 12 feature sets.
Disease Prediction from Symptoms
Machine Learning & Data Analytics
Data Analyst
Skills Used
- Python, Machine Learning, Data Preprocessing, Feature Engineering, Web Interface Deployment
Key Roles
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Cleaned and structured symptom-based healthcare datasets for predictive modeling.
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Applied classification algorithms to identify probable diseases from symptom patterns.
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Designed and deployed a lightweight analytical web interface for real-time predictions.
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Improved model performance using feature engineering and validation techniques.
Pneumonia Detection with X-ray Images
Machine Learning & Computer Vision
Machine Learning Analyst
Skills Used
- Python, Deep Learning, Computer Vision, Model Evaluation, Grad-CAM
Key Roles
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Analyzed medical imaging datasets to develop classification models for pneumonia detection.
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Evaluated model performance using accuracy metrics, confusion matrices, and validation techniques.
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Applied Grad-CAM visualization to interpret prediction decision patterns.
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Focused on transparent, insight-driven healthcare analytics models.
