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Building scalable data systems, GenAI solutions, and intelligent architectures
A passionate Data Engineer with expertise in Big Data, Databricks, GenAI and Machine Learning, driven to solve complex business challenges through data-driven solutions.
AI/Data/Software — building reliable Data, BI, AI and scalable systems
Explore a selection of projects crafted with precision
Developed a robust data pipeline using PySpark and Pandas to process and analyze 2,500 sunflower seed dataset with advanced feature engineering.
Performed regression analysis to evaluate employment center proximity impact on housing values with statistical significance.
Comprehensive data analysis and predictive modeling including feature engineering and ML models (XGBoost, SVM) for credit risk assessment.
End-to-end data analysis and predictive modeling achieving 87% accuracy using Decision Tree model with feature engineering and interactive visualizations.
Created enterprise-wide data visualization report using PowerBI applying advanced data modeling techniques for actionable insights.
Scalable analytics solution using Datalakes, PySpark, Spark SQL, and PowerBI that boosted analytics workflow by 30%.
Scalable data solution using HDFS, PySpark reducing risk analysis time by 40% and operational costs by 30%.
Led end-to-end development of a data-driven platform using SQL and ER diagrams achieving 100% deployment success.
Analyzed Reddit posts and comments using hybrid model combining topic modeling (LDA) with LLMs (BERT, GPT) improving contextual analysis by 30%.
Developed a neural network model for handwritten digit recognition using MNIST dataset focusing on understanding neural networks and tensors.
Created interactive geospatial visualization dashboard for COVID-19 data including live web scraping and statistical measures.
Designed a blockchain-based EHR system for secure patient data access and prescription management with smart contracts and IoT integrations.
Technical capabilities and tools mastery
Career journey and academic background
Indiana University Bloomington
National Institute of Technology (NIT), Patna
Crowd Doing · Remote, CA
Blackwood Solutions · Bloomington, IN
Bharat Electronics Limited (BEL) · Vizag, India
Double Edge Consulting (BCS Technology) · Haryana, India
Professional certifications and achievements
Why Large? not Small? First, let's define the Language Model. Language Model is a text probabilistic model that gives probability to each word available in its Vocabulary.
Overview of how data and compute resources are distributed across clusters, with optimization techniques for performance and scalability.
Convincing LLM, how to generate outputs. Learn the art of brainwashing LLM models to get the results you want.
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