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Nithin Sarva

MS Data Analytics |  

Transforming Data into Intelligent Solutions

Resume

Who am I?

Nithin Sarva - Data Scientist

I'm a passionate Data Scientist and AI Engineer with expertise in machine learning, deep learning, and full-stack development. Currently pursuing my MS in Data Analytics at George Washington University, I specialize in transforming complex datasets into actionable insights and building intelligent systems that solve real-world problems.

My experience spans across cutting-edge technologies including TensorFlow, PyTorch, computer vision, NLP, and cloud platforms. I thrive on tackling challenging problems in healthcare, finance, and technology sectors, always staying at the forefront of AI innovation.

#DataScience #AI #MachineLearning #Innovation

Education

MS (Data Analytics), George Washington University


Graduate Research Assistantship & Fellowship Award

Awarded by George Washington University | Academic Year 2025-2026

Grant-funded Graduate Research Assistantship supporting applied data analytics and machine learning research.

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


BTech (Data Science), MLR Institute Of Technology


Undergraduate Thesis Project

Research Focus: Healthcare AI & Natural Language Processing

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


Professional Experiences

CENTER FOR GLOBAL MENTAL HEALTH EQUITY
Research Specialist III
Present | Washington D.C.
  • Architected EQUIP-SU platform using Django framework with AI-powered predictive analytics for mental health screening
  • Implemented transfer learning models that adapt to different cultural contexts across 3 continents
  • Built robust ETL pipelines enabling seamless collaboration between international research teams
  • Developed CI/CD workflows ensuring reliable deployment of mental health technology solutions
GW EMSE DEPARTMENT
Graduate Research Assistant (GRA)
Present | Washington D.C.
  • Conducting advanced research at the intersection of data science and systems engineering
  • Developing machine learning algorithms for engineering problem-solving applications
  • Analyzing complex datasets to identify patterns and insights for breakthrough innovations
  • Contributing to academic research initiatives in data analytics and predictive modeling
DATA SCIENCE FOR SUSTAINABLE DEVELOPMENT
Software Engineering Consultant
Feb 2025 - June 2025 | Washington D.C.
  • Optimized SQL queries for UN platform backend, achieving 17% performance improvement in data processing speeds
  • Implemented PostgreSQL optimization strategies and AWS CloudWatch monitoring for real-time performance tracking
  • Collaborated with international development teams to enhance sustainable development data analytics platform
  • Developed automated performance tuning solutions that reduced query execution time from minutes to seconds
MARSHAL COMPANY
Data Engineer Intern
Jun 2023 - Aug 2023 | North Carolina
  • Optimized enterprise-level data pipelines, reducing ML model training time by 70%
  • Built parallel processing workflows using AWS EC2 for enhanced computational efficiency
  • Implemented comprehensive data validation frameworks ensuring data quality and reliability
  • Developed ETL workflows that streamlined data processing from multiple enterprise sources
WOBBLRR
Data Science Engineer Intern
2023 | Remote
  • Developed AI solutions using OpenAI GPT models and Google Vertex AI for personalized user experiences
  • Implemented TensorFlow-based machine learning models for intelligent recommendation systems
  • Created data modeling frameworks that transformed raw data into actionable business insights
  • Built end-to-end AI development pipelines from data ingestion to model deployment
WOBBLRR
Web Developer Intern
2023 | Remote
  • Transformed static designs into responsive, interactive web applications with optimal user experience
  • Developed reusable component libraries that improved development efficiency by 40%
  • Optimized web application performance, reducing load times and enhancing user engagement
  • Integrated database management systems with frontend interfaces for seamless data flow
BFLOCKCHAIN TECHNOLOGIES
Software Developer Intern
2022 | Remote
  • Modernized 10+ legacy blockchain projects with contemporary UI/UX design principles
  • Implemented responsive design frameworks improving cross-device compatibility
  • Created interactive data visualizations that enhanced user understanding of blockchain analytics
  • Executed comprehensive legacy system migration to modern web technologies

Featured Projects

Skills

Programming Languages


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

AI/ML & Deep Learning


TensorFlow PyTorch Keras MLflow Weights & Biases RAG Scikit-Learn OpenCV Transformers LangChain Hugging Face Computer Vision NLP LLMs CNNs RNNs/LSTM GANs Reinforcement Learning Transfer Learning Predictive Analytics Statistical Modeling

Cloud & DevOps


AWS Google Cloud Azure Docker Kubernetes MLflow Apache Kafka ElasticSearch GitLab CI/CD GitHub Actions

Data Engineering & Analytics


Pandas NumPy Apache Spark Airflow PostgreSQL MongoDB Neo4j Snowflake Redis InfluxDB Tableau Power BI Plotly Streamlit ETL Pipelines

Web & Mobile Development


React.js Node.js Express.js FastAPI Django Flask Next.js REST APIs GraphQL Spring Boot

Systems & Networking


Linux Ubuntu Windows Server macOS Wireshark Nmap TCP/IP Network Security Virtualization VMware System Administration Shell Scripting

Emerging Technologies


Blockchain Ethereum Smart Contracts Web3 Edge AI IoT Quantum Computing MLOps

Get In Touch

Let's connect! I'm always open to discussing new opportunities, collaborations, or just having a chat about data science and AI.

Email

sarvanithin@gmail.com

LinkedIn

Connect with me

GitHub

View my work

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