Hello, It's Me

N. V. Sai Ruthvik Kasi

And I'm a Data Scientist

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About Me

Data Analyst

I am a results-driven professional with a strong foundation in Data Science and Web Development, backed by hands-on experience in industry, research, and real-world projects. In data science, I specialize in data analytics, visualization, and machine learning, using tools such as Python (Pandas, NumPy, TensorFlow), SQL, Power BI, and Tableau. I have worked on impactful projects like AI-based storytelling using AWS SageMaker and RAG, and a personality-based career guidance system. In web development, I have built and deployed dynamic web applications using React.js, Node.js, JavaScript, and JavaFX, with backends integrated via SQL and Firebase. My work includes building full-stack applications and user-facing dashboards that deliver meaningful insights. With a strong grasp of both front-end and data-driven back-end systems, I bring an analytical mindset and development skills to solve real-world problems across domains.

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My Skills

Software Developer

Over 2 years of experience in software development, building full-stack applications using Java, JavaScript, React.js, SQL, and Python.

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Data Analyst

Over 3.5 years of experience as a Data Analyst, specializing in data cleaning, visualization, and reporting using Python, SQL, Power BI, and Tableau.

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Web Development

Over 4 years of experience in web development, creating responsive front-end and full-stack applications using React.js, JavaScript, JavaFX, and SQL.

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Database Management

Over 5 years of experience working with relational and NoSQL databases including MySQL, PostgreSQL, Microsoft SQL Server, MongoDB, and Firebase, with hands-on exposure to cloud-based platforms like Azure and Snowflake.

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Artificial Intelligence

Over 2 years of experience in AI, working on projects involving deep learning, natural language processing, and generative models using TensorFlow, Keras, and AWS SageMaker.

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Cybersecurity

Experience in cybersecurity fundamentals, with hands-on exposure to data privacy, encryption (AES), and secure systems design through academic projects and workshops.

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Digital Forensics

Hands-on experience in digital forensics through academic workshops, focusing on data recovery, evidence preservation, and analysis using tools like Autopsy, FTK Imager, and Wireshark.

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UI/UX Designer

UI/UX (User Interface/User Experience) focuses on creating visually appealing, intuitive designs for optimal user interactions in digital products.

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Linux

Completed projects in Linux environments, with hands-on skills in shell scripting, file system management, process control, and network utilities.

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Business Analysis

Business Analysis involving backlog management, business case preparation, and implementing Agile methodologies for streamlined project execution.

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Microsft Azure

worked with Microsoft Azure services for solution deployment, data sceinces, and leveraging cloud capabilities to support scalable and secure applications.

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Latest Projects

Genre Classification System

By leveraging Machine learning techniques, I extracted relevant features from the waveforms and trained a classification model to recognize various music genres

NYC Bike Sharing System

The NYC Bike Share system provides an alternative mode of transportation, allowing users to rent bicycles for short trips within the city.

AES Image Encryption

Utilized cryptographic APIs from standard libraries such as PyCryptoDome to create an elegant AES based image scrambling and encryption solution

Content Based Image Retrieval

Aims to to extract features from photos and uses perceptual image hashing, a technique that converts images into fixed-size strings and compares them based on their content

Anonimyzing Medical Records

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IOT Bike Sharing System

An IoT-based bicycle tracking system typically involves sensors, communication modules, and a central server or platform to track and monitor bicycles.

Linux Distributed File System

Distributed File System using C and Socket Programming A client-server based file system with 4 distributed servers (S1–S4) handling upload, download, delete, list, and tar operations for .c, .pdf, .txt, and .zip files

Career Guidance System

Developed a personality-based career guidance system that analyzes user traits using psychometric assessments and maps them to suitable career paths using machine learning model

AI Based Story Telling

This project demonstrates an AI-driven storytelling system that creates immersive narratives based on user input. It showcases the system's responsiveness, adaptability, and seamless integration of user creativity into story generation

Heart Disease Prediction

A machine learning model that predicts the likelihood of heart disease based on clinical features like age, blood pressure, cholesterol, and chest pain type.

Loan Approval Prediction

Loan Approval Prediction using Machine Learning is a classification project that uses applicant data to predict whether a loan should be approved, leveraging models like Logistic Regression and Random Forest.

Covid 19 Analysis and Visualization

An interactive COVID‑19 data analysis and visualization toolkit using Plotly Express for dynamic global charts and maps.

IPL Auction Data Analysis

Analyzing IPL 2023 auction data with PandasAI and Pandas to reveal trends in team spending, player valuations, and auction strategies.

Wine Quality Prediction

A machine learning model that predicts the quality of wine based on its physicochemical properties like acidity, sugar, pH, and alcohol content.

Data Mining using R

R-based project showcasing data mining techniques including clustering, classification, and association rule mining

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