Hello, I'm Sai Santosh Chirag
Data Scientist & Full-Stack Developer
Transforming complex data into actionable insights and building scalable applications.
Transforming complex data into actionable insights and building scalable applications.
I'm a data scientist and full-stack developer with expertise in business analytics, artificial intelligence, and web development. Currently pursuing a Master's degree in Business Analytics and AI at the University of Texas at Dallas, I blend technical expertise with business acumen to deliver impactful solutions.
With experience as a Data Analyst, Senior Software Engineer, and Full Stack Developer, I've worked across various domains including insurance, healthcare, and agriculture tech. My passion lies in transforming complex data into actionable insights and building scalable applications that solve real-world problems.
I thrive on challenges that require both analytical thinking and creative problem-solving. Whether it's optimizing database performance, developing insightful dashboards, or creating full-stack applications, I'm dedicated to delivering high-quality solutions that make a difference.
Developed and maintained Tableau dashboards to track key insurance metrics, enabling the leadership team to make data-driven decisions that resulted in a 25% improvement in operational performance.
Led analytics projects using SQL and Tableau to address business challenges like policyholder retention and commission tracking, improving reporting efficiency by 40% and enabling faster decision-making.
Utilized advanced Excel functions, including Pivot tables, XLOOKUP, VLOOKUP, and DAX, to analyze and manipulate multiple datasets, enabling data-driven decision-making in insurance policies.
Enhanced and refactored data models in MySQL and PostgreSQL, improving query execution time by 40% and optimizing application data retrieval.
Designed and developed high-performance REST APIs using Python, Django, and MySQL, facilitating seamless data exchange for millions of elevator and escalator units.
Integrated CI/CD pipelines using DevOps, automating builds, releases, and deployments, reducing software release cycles by 30% in an agile development environment.
Developed a dynamic front-end using React integrated with a MongoDB database, enhancing user interface functionality and streamlining data access for end users and business stakeholders.
Improved customer registration UI using React, TypeScript, and CSS, enhancing user experience, streamlining form interactions, and increasing form completion rates by 25%.
Developed and optimized a large-scale data migration tool with Node.js, JavaScript, and Cron jobs, transferring 500K+ records daily while maintaining data integrity.
Implemented and optimized high-performance RESTful APIs using Express.js and MongoDB, reducing API response latency by 35% and significantly enhancing backend efficiency, scalability, and data retrieval speed.
Designed and implemented machine learning solutions for various business problems, focusing on data processing, model development, and deployment.
Specialized in advanced analytics, machine learning, and AI applications for business with focus on data-driven decision making and strategic business intelligence.
Focused on computer science fundamentals, algorithms, data structures, and software development. Developed strong programming skills and problem-solving abilities.
Flask-based web application that detects football fields in satellite imagery using OpenCV for image processing and machine learning.
Django-based application leveraging speech recognition, multilingual translation, and LSTM-based text generation for physically handicapped users.
Full-stack trip planning platform using Django, MySQL, and Bootstrap with real-time transport data and secure payments via Stripe.
Smart farming and leasing platform with multi-user roles, e-commerce integration, and secure payments for agricultural land and products.
Fitness-focused web application that generates customized workout plans with integrated e-commerce for supplements and equipment.
Regression and time series analysis on UCI's Air Quality dataset using statistical methods and machine learning models.
Review platform where users post feedback on movies/series with sentiment scores generated using NLP and machine learning techniques.
Fundamental knowledge of cloud concepts, Azure services, workloads, security, and privacy.
Specialized training in machine learning algorithms, techniques, and applications.
Dallas, TX