Data Scientist & ML Engineer
Transforming complex data into intelligent solutions with advanced ML, deep learning, and scalable AI systems
About Me
Passionate data scientist driving innovation through advanced analytics
I'm a results-driven data scientist with expertise in data science, machine learning, and advanced analytics. Currently pursuing my Master's in Data Analytics at Kansas State University, I combine academic rigor with practical experience to solve complex business problems.
My passion lies in transforming raw data into actionable insights that drive strategic decisions. From optimizing agricultural datasets to building high-accuracy predictive models, I thrive on challenges that require innovative thinking and technical excellence.
Machine Learning
Advanced ML algorithms, model optimization, and deployment at scale
Data Analytics
Statistical analysis, data visualization, and business intelligence
Data Science
Data wrangling, feature engineering, and predictive modeling
Technical Expertise
Comprehensive skill set for end-to-end data science solutions
Programming & Analytics
Machine Learning
Data Visualization
Cloud & Tools
Professional Experience
Building expertise through impactful projects and research
Graduate Research Assistant
Aug 2024 - Present- Managed and analyzed 10,000+ soil health records using Python and SQL, achieving 98% data accuracy
- Developed statistical models for soil fertility analysis, providing actionable insights for sustainable agriculture
- Improved data processing workflows by 20% through advanced preprocessing and automation techniques
- Collaborated with agricultural researchers to translate complex data into practical recommendations
Data Science Intern
Feb 2023 - Mar 2023- Built machine learning models (Random Forest, Logistic Regression) achieving 97% accuracy for email classification
- Optimized ML pipelines using Scikit-Learn, reducing execution time by 30%
- Developed sales forecasting models with enhanced prediction reliability
- Created comprehensive model documentation and deployment guidelines
Education
2020 - 2026Master of Science in Data Analytics
Kansas State University (Expected 2026)
GPA: 3.8/4.0
Focus: Advanced analytics, statistical modeling, machine learning
Bachelor of Technology - CSE (AI & ML)
Sri Indu College of Engineering (2020-2024)
GPA: 3.4/4.0
Focus: Specialization in AI, ML, and Computer Vision
Featured Projects
Showcasing real-world applications of data science and machine learning
Food Price Inflation Analysis
Data AnalyticsComprehensive Tableau dashboard analyzing U.S. food price trends, volatility patterns, and inflation drivers with interactive visualizations and forecasting capabilities.
AI Image Colorization
Deep LearningAdvanced CNN model using TensorFlow for automatic grayscale image colorization with 10% improved accuracy over baseline models.
Precision Object Counter
Computer VisionReal-time object detection and counting system using OpenCV with 15% improved precision in dynamic environments.
Email Spam Detection
NLP & MLHigh-performance spam detection system using advanced NLP techniques and logistic regression, achieving 98% accuracy.
Global Earthquake Analysis
Geospatial AnalyticsInteractive Tableau dashboard analyzing global earthquake patterns, magnitude distributions, and seismic activity trends with geographic visualizations.
Advertising Sales Prediction
Predictive AnalyticsMachine learning model predicting sales based on advertising spend across multiple channels with feature engineering and model optimization.
Iris Flower Classification
Classification MLMulti-class classification system using various ML algorithms to classify iris species with comprehensive model comparison and evaluation.
Weather Prediction App
Full-Stack DevelopmentReal-time weather application with API integration, responsive design, and location-based forecasting capabilities.
Certifications & Achievements
Continuous learning and professional development
Data Science & Analytics
Data Analysis with Python
Coursera • 2023
Data Analysis • SQL • Tableau • R
Introduction to Data Science
Infosys Springboard • 2023
Python • Statistics • Machine Learning
Introduction to Artificial Intelligence
SkillUp • 2023
AI • Neural Networks • Deep LearningProgramming & Development
Python for Everybody Specialization
Coursera • University of Michigan • 2023
Python • Data Structures • Web Scraping
The Joy of Computing Using Python
NPTEL • IIT Madras • 2023
Algorithms • Data Structures • Problem Solving
Object-Oriented Programming in Python
Coursera • 2023
OOP • Design Patterns • Software EngineeringDatabase & Cloud Technologies
SQL Essential Training
LinkedIn Learning • 2023
SQL • Database Design • Query Optimization
Databases & SQL for Data Science with Python
Coursera • 2023
DBMS • Normalization • Transaction Management
Excel Skills for Business: Essentials
Microsoft • 2023
Excel • Pivot Tables • Data ModelingProfessional Development
Lean Six Sigma Yellow Belt
ASQ • 2023
Process Improvement • Quality Management • DMAIC
C Programming Fundamentals
LinkedIn Learning • 2023
C Programming • Memory Management • Algorithms
Hour of Code Participation
HackerRank • 2023
Problem Solving • Coding Challenges • AlgorithmsPublications & Research
Contributing to the advancement of technology and research
A Survey on Large Language Models: Overview and Applications
Research PaperInternational Research Journal of Engineering and Technology (IRJET)
Volume 11, Issue 6 • June 2024
This survey paper provides a comprehensive introduction to Large Language Models (LLMs) and generative AI, exploring their history, evolution, and transformative role in natural language processing. The study highlights the underlying transformer architecture behind models such as GPT, BERT, and Llama 2, and examines diverse applications of LLMs across domains like healthcare, education, finance, law, engineering, and media. It covers the technical aspects of building and fine-tuning domain-specific LLMs using open-source resources, serving as a beginner’s guide for harnessing their power responsibly and effectively. This work equips readers to understand, adopt, and leverage the potential of LLMs in an era where generative AI is reshaping industries and society.
Let's Work Together
Ready to tackle your next data challenge