Arun Kashyap

Arun Kashyap

Data Scientist | MS Data Science Graduate

Highly motivated Data Scientist, graduated with a Master's degree from Stevens Institute of Technology, specializing in developing and deploying sophisticated AI-driven solutions. Proven ability in architecting multi-agent systems, implementing Retrieval-Augmented Generation (RAG) pipelines, and leveraging LLMs for complex analysis, automation, and simulation. Gained practical experience developing AI teaching assistants as a Graduate Student Assistant. Recognized for innovative AI application in student wellness (3rd Place, Stevens IT Quackathon). Seeking an AI Engineer or Data Scientist role focused on generative AI applications and intelligent systems.

Education

Stevens Institute of Technology

MS in Data Science (Graduated May 2025)

GPA: 3.90/4.0

Coursework: Applied Machine Learning, Deep Learning, Big Data, Probability & Statistics, Developing Business Applications Using GenAI

Presidency University

BTech in Electronics and Communication Engineering (2021)

GPA: 3.71/4.0

Coursework: Artificial Neural Network, Digital Image Processing, Engineering Mathematics

Skills

Programming & AI Tools

  • Python, Scikit-learn, TensorFlow, PyTorch
  • Hugging Face Transformers, LangChain, CrewAI
  • Multi-Agent Systems, RAG, Prompt Engineering
  • LLMs (Gemini, Claude, Azure OpenAI), Model Fine-tuning

Data Science & Visualization

  • Pandas, NumPy, Matplotlib, Seaborn, Plotly
  • Power BI, PostgreSQL, MySQL

Big Data & Cloud Platforms

  • PySpark, Hadoop
  • AWS (EMR, S3)
  • GCP (Cloud SQL, Cloud Run)
  • Azure (Cosmos DB, OpenAI, Speech Services, AI Agents), Pinecone, Google Colab

Software Development

  • Streamlit, FastAPI, API Integration
  • GitHub, Jira, Agile Methodologies
  • Frontend/Backend Development, Deployment

Certifications

Work Experience

Graduate Student Assistant (Management of AI) | Stevens Institute of Technology

January 2025 – Present, Hoboken, NJ

  • Spearheaded the design and development of AI Agents (using CrewAI/LangChain/Python) to enhance teaching effectiveness, automating tasks like content generation and initial assignment review.
  • Orchestrated the full lifecycle (frontend/backend development with Streamlit/FastAPI, deployment on cloud platforms, maintenance) of AI teaching assistant applications.
  • Collaborated with faculty to integrate AI tools into classroom lessons, assisted with grading using AI support, prepared course materials, and supported AI-related research projects.

Product Analyst | BlueTree Consultancy Services Private Limited

June 2021 – Dec 2021, Bangalore, India

  • Collaborated with Autoliv, a global leader in automotive safety systems, to design and implement custom HR SaaS solutions, optimizing workforce operations and improving efficiency by 15% through advanced Power BI dashboards.
  • Partnered with PhonePe, India’s leading fintech company, to integrate HR analytics with their digital payment systems, leveraging Python scripting and Postman API testing for seamless data synchronization and payroll processing automation.
  • Engineered interactive Power BI dashboards to deliver real-time insights into HR metrics (attendance, payroll, and employee engagement), empowering enterprise clients to make data-driven decisions with precision.
  • Spearheaded end-to-end HR SaaS implementations using UAT methodologies, ensuring zero-downtime rollouts and reducing deployment errors by 10%, while scaling solutions to support large-scale client environments.

IoT Intern | Invicto Energies Private Limited

June 2019 – August 2019, Bangalore, India

  • Developed a Python-based data collection pipeline for a smart irrigation system, processing real-time sensor data (soil moisture, rain sensors) to improve water distribution efficiency by 20%.
  • Integrated the system with a BOLT IoT mobile application, enabling real-time environmental data analysis and automated control of irrigation systems.
  • Applied Regression Analysis and advanced data preprocessing techniques to optimize water usage, achieving a 20% increase in irrigation efficiency and promoting environmental sustainability.

Projects

Activities

Technical Articles

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