Hi, I'm Satya
Introduction
Overview.
Data Engineer at Vector ML Analytics | Building Scalable Data Solutions
As a Data Engineer at Vector ML Analytics, I architect robust data pipelines and optimize large-scale data operations. With 2+ years of experience in data science and ML engineering, I've successfully delivered solutions processing 100GB+ daily data streams and saving organizations over $545K through automation and optimization.
Current Role Highlights:
- Architecting ETL pipelines using AWS Glue, Lambda, and S3 for 100GB+ daily data
- Implementing real-time data integration with Plaid API for 10K+ users
- Optimizing PostgreSQL databases, reducing query time by 65%
- Building automated data quality frameworks with 99% anomaly detection
- Leading cloud migration initiatives, saving $15K/month in infrastructure
My expertise spans machine learning, data engineering, and AI solutions. I've developed ML models with 94%+ accuracy, built NLP pipelines for 500K+ records, and created computer vision systems for medical diagnostics. Previously delivered impactful solutions as a Data Scientist at Trysol Global and through freelance engagements on Upwork (Top Rated) and Freelancer.
"I transform complex data challenges into scalable, production-ready solutions that drive real business value. Let's discuss how I can help your organization leverage data for competitive advantage!"
ETL Pipeline Development
Cloud Data Architecture (AWS)
Machine Learning Solutions
Real-time Data Integration
Computer Vision & Medical AI
Financial Data Analytics
Database Optimization
NLP & Text Processing
Impact & Achievements
Numbers That Matter.
100GB+
Data Processed Daily
Large-scale data pipeline management
94%
ML Model Accuracy
Average across all production models
$545K+
Cost Savings Generated
Through automation and optimization
50K+
Records Automated
Daily automated processing capacity
20+
Successful Projects
Delivered with 100% satisfaction
5★
Client Rating
Consistent top-rated performance
"Turning data into decisions, one pipeline at a time"
What I have learnt so far
Skills.
Languages
Frameworks
Libraries
Databases
Tools
My work
Projects.
These projects showcase my practical skills and experience, each with descriptions and links to code repositories. They demonstrate my ability to handle complex challenges, adapt to different technologies, and oversee projects from start to finish.
Crop Recommendation System using ML
Published research implementing ML algorithms to revolutionize agricultural decision-making. System analyzes soil composition, weather patterns, and historical data to recommend optimal crops. Achieved 95% accuracy using ensemble methods, potentially increasing farmer yields by 3...
#Python
#Machine Learning
#Random Forest
#KNN Algorithm
#Data Analysis
#Agricultural Tech
AI-Powered Procurement Classification System
Engineered ML system automating classification of 50K+ procurement records with 94% accuracy. Implemented NLP pipeline using BERT for semantic understanding of CPV codes. Reduced manual classification time by 80%, saving €200K annually for European procurement agency.
#Python
#NLP/BERT
#Scikit-learn
#SpaCy
#FastAPI
#Docker
Medical Image Classification for Prenatal Diagnostics
Developed CNN-based system achieving 91% accuracy in classifying fetal anatomical structures from ultrasound images. Processed 5000+ medical images with advanced augmentation techniques. System assists radiologists in prenatal screening, reducing diagnosis time by 60%.
#Python
#TensorFlow
#CNN/ResNet
#OpenCV
#Medical AI
#Keras
Financial Analysis & Loan Analytics Platform
Built comprehensive financial analytics system processing $10M+ in loan portfolios. Automated amortization calculations for 1000+ loans, reducing processing time by 85%. System generates real-time dashboards and predictive models for risk assessment.
#Python
#Pandas
#NumPy
#Plotly
#Financial Modeling
#Machine Learning
Research & Innovation
Publications.
Crop Recommend System using Machine Learning
Indian Political Science Association • Dec 10, 2022
Research paper exploring ML applications in agriculture, demonstrating how data-driven approaches can revolutionize farming decisions and increase crop yields by up to 30%.
Research Focus: Machine Learning applications in Agriculture, Healthcare, and Business Intelligence
Get in touch
Contact.
Let's Connect!
I'm currently open to new opportunities in Data Science, Machine Learning Engineering, and Data Engineering roles. Looking for someone who can transform your data into actionable insights? Let's talk!
Location
Hyderabad, India
Open to Remote & Relocation
Availability
Immediate
Full-time positions preferred
💡 Feel free to reach out via email for any professional inquiries or opportunities