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Nithin Sarva

Grad Student at George Washington University | Data Science

Resume

Who am I?

...

I'm passionate about data and technology, diving deep into data science, full stack development, and AI during the day. When I'm off the clock, I’m exploring new coding techniques or hanging out with friends. In my downtime, you’ll find me reading tech blogs, catching up on the latest in data trends, or enjoying a good thriller novel. I’m all about creative brainstorming for the next big project, whether it's a new web app or mastering predictive analytics.
#DataDriven #TechExplorer

Education

MS (Data analytics), George Washington University


Coursework : Programming for Data analytics, Machine Learning,Deep Learning, Computer Software Architecture, Computer Vision and Software Engineering


BTech (Computer Science, Data Science), MLR Institue Of Technology


Thesis : Mental health Prediction through screening and chatbot interventions

Coursework: SQL, Data Mining, Data analytics,Cloud computing, Operating Systems, Database Management System, Software Oriented Architecture,Data Structures and Algorithms,Big Data, AI, Advanced Data Structures for Machine Learning


Experience

Marshal company(Data Science Engineer)


Delighted to share that I contributed as an Data Science Engineer ,Utilized cutting-edge technologies like OpenAI, Vertex AI, and TensorFlow to enhance ReX, our AI Coach. Crafted intelligent solutions, providing personalized career guidance and mentorship to learners. #PastAchievements #AIEngineer #ArtificialIntelligence.


Wobblrr (Data Science Engineer Intern)


Conducted data analysis and modelling, developed data-driven solutions, and synthesized insights for data-informed decisions.


Wobblrr (Web Developer Intern)


Managed UI using HTML, CSS, JavaScript, and databases, creating reusable components, and optimizing web app performance through CSS and JS minification.


BFlockchain technologies (Software developer Intern)


Led redevelopment of 10+ projects, transforming legacy UI to modern, responsive design with data visualization, SEO, and performance enhancements.


Projects

Mental health Prediction through Screeing and Chatbot Interventions


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This project offers a cutting-edge, affordable mental health platform powered by machine learning. It analyzes diverse data, from files and questionnaires to APIs, to detect mental health issues. Users receive personalized insights through age-specific questions and unique factors like music preferences and screen time. An emotionally intelligent chatbot then provides tailored support, adapting to the user’s emotional state for meaningful interaction.


Pharma Supply Chain Trading Platform


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This project delivers a comprehensive UX prototype for a pharma supply chain trading platform, designed to streamline the interaction between manufacturers, distributors, and logistics providers. The platform addresses key challenges in pharmaceutical distribution, focusing on real-time order tracking, cold chain monitoring, and supply chain analytics.


AI ChatBot


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Conversational AI Model This project showcases my work on building a sophisticated Conversational AI model as part of my Artificial Intelligence assignment. Leveraging the power of TensorFlow and the tflearn library, I employed Natural Language Processing and Neural Network concepts to construct an AI contextual chatbot.


Attendance Marking Using Facial Recognition


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Welcome to the Face Detection and Data Addition System! This robust solution is designed for detecting faces in video, verifying them against a predefined dataset, and updating a CSV file with relevant data.


React Weather App Project


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This project explores the application of blockchain in open science, showcasing its potential as an infrastructure. The focus is on secure transactions using blockchain for financial transactions between friends.


Predictive analytics for UI/UX development


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Leveraging predictive analytics to enhance UI/UX design allows for a deeper understanding of user behavior and more effective design decisions. By analyzing user interaction data, the system uncovers patterns and predicts engagement, helping to optimize layout, navigation, and content.


cryptocurrency-prediction


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Predicting the crypto currency using Neural Network.


RL Algorithms with Real-World Uncertainties


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Enhanced agent decision-making for Q-learning and ActorCritic algorithms by introducing real-world uncertainties such as wind noise and engine failures.


drowsiness Detection


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Drowsiness Detector using Python. College Project with all Documents.


chatgpt Comparision


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ChatGPT Comparison Detection Project Overview The ChatGPT Comparison Detection Project aims to develop a system that identifies and analyzes comparisons within text data. Leveraging the capabilities of ChatGPT, a state-of-the-art language model, this project offers a solution for detecting and understanding comparative statements.


Face Detection


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Face Detecton In Python Using OpenCV.


Heart Failure Prediction


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Heart failure is a critical medical condition that requires timely intervention. This project aims to predict heart failure in patients using machine learning algorithms. Early detection can lead to better patient care and outcomes.


Chronic Kidney Disease analysis using data mining classification techniques


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This project is a replication of the popular professional networking platform LinkedIn, aiming to emulate its features and functionalities.


Whatsapp GPT


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WhatsApp-GPT WhatsApp-GPT is a project that integrates ChatGPT with WhatsApp using a Golang library. The setup involves running WhatsApp from a phone number using the Golang library and concurrently running a dedicated browser in another window to control ChatGPT.


Video Surveillance and tracking system using Facial Recognition


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Connect all CCTV cameras to this system to track someone's live location in a premise using facial recognition. It can be also used to maintain records of people entering a premise using their face instead of bio-metrics/cards/manual Entry. This system when used with national criminal database can track criminals and prevent mishaps.


Stock market prediction using Reinforcement Learning


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Trying out reinforcement agents to predict stock market for 3 interested companies.


Student login page


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studentActivity All Purpose Student Activity Website


Spam Mail Detector using ML


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This project is a spam email detection system built using machine learning algorithms from scikit-learn. Spam emails can be a significant problem, and having an automated system to detect and filter them out can be invaluable.


E-commerce website


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This project consists of two Flask applications that leverage ImageAI's image prediction algorithms and object detection models for object recognition and analysis in images and videos. The apps, Image Object Recognition Flask Application and Video Object Detection Flask Application, provide an intuitive platform for users to explore, analyze, and extract information from visual content.


Mini Chatgpt Model


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minGPT is a PyTorch re-implementation of GPT, covering both training and inference. The primary goals of minGPT are to be small, clean, interpretable, and educational. Unlike some sprawling GPT implementations, minGPT maintains simplicity, with the entire codebase consisting of approximately 300 lines of code (refer to mingpt/model.py). The core concept involves a sequence of indices fed into a Transformer, producing a probability distribution over the next index in the sequence. The implementation focuses on clever batching, both across examples and sequence length, for efficiency.


Skills

Languages & Databases


Java, Python, C/C++, R, SQL, NoSQL, JavaScript, TypeScript, HTML/CSS


Frameworks & Libraries


Kubernetes, Docker, Kafka, ElasticSearch, Spring Boot, ROS, OpenCV, TensorFlow, PyTorch, Keras, Scikit-Learn, Pandas, NumPy, AWS Services, MATLAB, GitLab CI/CD


AI/ML Libraries and Image Processing


OpenCV, TensorFlow, PyTorch, Keras, Scikit-learn, Pandas, Numpy, Computer Vision, NLP, CNNs, LSTM, Word2Vec, Transfer Learning, Reinforcement Learning, GANs


Blockchain


Ethereum, Hyperledger Fabric, Hedera Hashgraph, ReactJS, NodeJS


Additional Skills


Excel, Data Analysis, Predictive Modeling, Anomaly Detection, Time Series Forecasting, Statistical Analysis, Visualization, Software Engineering


Project Management


Project Planning, Task Management, SCRUM & Agile Methodology


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