I am Arjun,
bringing fresh AI expertise
and data science skills
to innovative teams.
About
I am a dedicated Data Scientist and AI Engineer pursuing my Master's in Information Systems at Northeastern University. With 2+ years of experience as an Associate Application Developer at Accenture and advanced training in generative AI and enterprise data architectures, I specialize in machine learning, business intelligence, and cutting-edge AI solutions that drive real business impact.
Download CVCore Expertise
- Machine Learning & AI
- Data Science & Analytics
- Business Intelligence
- Database Architecture
- Big Data Systems
- Generative AI & LLMs
Experience
Accenture
Associate Application Developer
October 2022 - July 2024
Led data analysis initiatives improving operational efficiency by 40% through automated reporting systems. Developed BI dashboards serving 200+ stakeholders and implemented predictive modeling solutions achieving 85%+ accuracy for business forecasting.
TeesGraphy
System Administrative Intern
June 2021 - November 2021
Managed system infrastructure supporting 500+ daily users, implemented security protocols ensuring 99.9% uptime, and automated administrative tasks reducing manual effort by 60%.
Education
Northeastern University
Master's in Information Systems
Expected December 2026
Current GPA: 3.53/4.0
Completed Coursework: Prompt Engineering for Generative AI, Data Science Engineering Methods, Big Data Architecture & Governance, Data Management & Database Design, Application Engineering & Development
Spring 2025: Advanced Data Architectures for Business Intelligence, Software Quality Control & Management
St Joseph's College
BBA in Information Technology
Graduated 2022
GPA: 9.2/10.0 (First Class with Distinction). Strong foundation in business analytics, software engineering, and data management with leadership roles in technical projects.
Technical Skills
Programming & Databases
- Python, R, SQL, PL/SQL
- Oracle, MySQL, PostgreSQL
- Snowflake, Databricks
- Apache Spark, Hadoop
AI/ML & Cloud
- Machine Learning, Deep Learning
- LLMs, Prompt Engineering, RAG
- Vector Databases, LangChain
- Azure, AWS, Azure Data Factory
BI & Visualization
- Tableau, Power BI
- Data Modeling & Warehousing
- ETL/ELT Pipelines
- Business Analytics
Software Engineering
- Software Testing & QA
- API Testing, Security Testing
- Agile Development
- DevOps & CI/CD
Featured Projects
Here are some of my recent projects showcasing expertise in AI, machine learning, and data science.
T5 Financial Text Summarization
Fine-tuned Google's T5 model for financial document summarization using advanced prompt engineering techniques learned in INFO 7375. Implemented state-of-the-art NLP methods with RAG systems and vector databases to process and summarize large volumes of financial documents with exceptional accuracy.
- Python
- Transformers
- PyTorch
- HuggingFace
- Prompt Engineering
- RAG Systems
• ROUGE-1 Score: 0.99 (Near-perfect performance)
• 85% reduction in document review time
• Successfully processed 10,000+ financial documents
• Implemented advanced prompt patterns and fine-tuning
Deep Q-Learning Atari Agent
Built an intelligent game-playing agent using Deep Q-Network (DQN) architecture, demonstrating advanced reinforcement learning techniques for sequential decision-making. Implemented experience replay and target networks for stable learning across multiple Atari games using methodologies from INFO 6105.
- Python
- TensorFlow
- OpenAI Gym
- Deep Learning
- Reinforcement Learning
• 4900% performance improvement over baseline
• Successfully learned optimal strategies for multiple games
• Implemented experience replay and target networks
• Applied neural network architectures from coursework
NYC Ride Demand Forecasting System
Developed a comprehensive demand forecasting system for NYC taxi services using advanced time series analysis and machine learning techniques from INFO 6105. Processed massive datasets using big data architecture principles from DAMG 7250 to predict ride demand patterns with high accuracy for operational optimization.
- Python
- ARIMA
- LSTM
- Scikit-learn
- Time Series Analysis
- Big Data Processing
• 87% accuracy in demand prediction
• Processed 50M+ taxi trip records
• Reduced operational costs by 15%
• Applied scalable big data architecture
ShopConnect E-commerce Platform
Built a comprehensive e-commerce platform with advanced analytics, recommendation systems, and real-time business intelligence dashboards. Implemented robust database design using principles from DAMG 6210 with optimized query performance and ML-powered product recommendations.
- Java
- Spring Boot
- MySQL
- Machine Learning
- Business Intelligence
- Database Design
• 40% increase in user engagement
• Real-time analytics dashboard serving 200+ users
• ML-powered product recommendations with 85% accuracy
• Optimized database architecture and normalization
AI Consciousness Research Study
Conducted interdisciplinary research on AI consciousness, combining computational approaches with philosophical frameworks to explore machine awareness. Developed novel consciousness metrics and contributed to ethical AI frameworks for responsible AI development, integrating insights from generative AI coursework.
- Python
- Research Methods
- Philosophy
- Ethics
- Cognitive Science
- Generative AI
• Published research findings on AI consciousness
• Developed novel consciousness measurement metrics
• Contributed to ethical AI development frameworks
• Applied LLM evaluation techniques
Big Data Compliance Architecture
Designed and implemented a scalable big data architecture ensuring GDPR compliance, data lineage tracking, and automated governance workflows using principles from DAMG 7250. Built comprehensive data processing pipelines with Apache Spark and Hadoop for enterprise-scale data management with quality assurance protocols.
- Apache Spark
- Hadoop
- AWS
- Apache Kafka
- Data Governance
- Quality Assurance
• 100% GDPR compliance achievement
• 60% improvement in data processing speed
• Automated 90% of governance workflows
• Implemented comprehensive testing protocols
Get In Touch
Passionate about applying cutting-edge AI and data science to solve real-world challenges. Currently seeking Spring 2025 internship and co-op opportunities where I can contribute fresh perspectives, innovative solutions, and grow alongside forward-thinking teams.