Data Engineer/Analyst and ML Research

JOSHUA ALFRED JAYAPAL

+1-201-***-**** • ******@***.*** • www.linkedin.com/in/ja27/ • joshuaalfred.com EDUCATION

New York University, Brooklyn, NY Graduated May 2025 M.S., Computer Science GPA: 3.68

Topics: Applied ML in Finance, Algorithms, Computational Statistics Vellore Institute of Technology, Chennai, India Graduated May 2023 B.Tech., Electronics and Communication Engineering GPA: 3.72 Topics: Essentials of Data Analytics, Deep Learning, Applied Linear Algebra SKILLS

Data Analytics and AI: PyTorch, Apache Spark, Airflow, Power BI, Data Build Tool, NumPy, Pandas, LangChain Development Tools: Django, Flask, Docker, PostgreSQL, GitHub, Next.JS, AWS EC2, S3, Travis CI Programming: Python, Java, SQL, JavaScript, R

Certification: AWS Certified Cloud Practitioner [CLF-01] – June 2022 EXPERIENCE

Mphasis Limited, Data Analyst Intern Jun 2024 – Aug 2024

• Documented detailed exploratory data analysis with visualization-driven reports on insurance claims data

• Built ELT pipelines to convert production data into analytical real-time health dashboards for the Javelina software

• Orchestrated Airflow DAGs for automated data retrieval, SQL transformation, and report updates Technocolabs Softwares Limited, Machine Learning Engineer Intern Oct 2022 – Dec 2022

• Designed a predictive ML pipeline for financial default risk assessment of Bondora systems

• Pitched an EDA and improved workflow with derived dependent variables to further assess default risk

• Fine-tuned and deployed various ML model ensembles for predicting loan status, repayment years, EMI, and ROI, thus improving prediction accuracy by 19%

Mphasis Limited, Java Developer Intern May 2022 – Jun 2022

• Proposed and developed an improved Insurance Underwriting application framework in 6 weeks

• Revolutionized premium calculation with a modified rating algorithm, reducing inference time by 16%

• Architected user experience with improved UI in the application, data storage, and object detection using cloud PROJECTS

VibeCheck Sep 2023 – Dec 2023

• Spearheaded a team of 5 to develop an app that matches users by their Spotify listening and "vibe" patterns

• Developed the backend API interactions, AI models and deployed using AWS/Travis with 87% coverage and 114 issues closed

FlashPrepAI July 2024 – Aug 2024

• Collaborated in a team of three to build FlashPrepAI - an interactive flashcard generator and study application

• Ideated the ER diagram for the database and developed the user authentication and RAG-powered AI assistant

• Achieved 200+ users count on the first week of release PUBLICATIONS

• Inception-Based Global Context Attention Network for the Classification of Coffee Leaf Diseases, Ecolog- ical Informatics, Impact Factor: 5.1, Authors: Dr. R. Karthik, Joshua Alfred J., Joel Kennedy J.

• BCI based Robotic Arm Control using MI-EEG and Spiking Neural Network, 5th October 2022, Proceedings of the 13th ICCCNT, Indian Institute of Technology Kharagpur, Kharagpur, India. ACTIVITIES

Publication committee member, NYU Data Science Club Sep 2023 - May 2025 Authored, edited, and published data science-related articles for the NYU Data Science Review page in Medium Research Assistant, SAI Lab, NYU Aug 2024 - Jan 2025 Architectured a distributed self-speculative decoding approach to CodeLLaMA 7B model to reduce LLM inference

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