Resume

Resume

Aryan_Jain_Resume.pdfaj3246@drexel.eduhttps://www.linkedin.com/in/aryanj10/https://aryanj10.github.io/

EDUCATION

MS. in Data Science, Drexel University, Philadelphia, PA
Expected Graduation: June 2025

  • GPA : 3.9
  • Relevant Coursework : Data Acquisition & Pre-Processing, Data Analysis & Interpretation, Computer Vision, Cloud Computing, Applied Artificial Intelligence, Information Visualization

BTech. Computer Science, NMIMS University, Mumbai, India
Graduation: May 2023

  • GPA : 3.31
  • Relevant Coursework : Artificial Intelligence, Machine Learning, Data Structures & Algorithms, Data Mining & Analytics, Database Management Systems, Cognitive Science & Analytics, Advance Text Social & Media Analysis

WORK EXPERIENCE

Data Analyst Intern — MitraQSR, Dallas, TX
Sept 2024 – Dec 2024

  • Developed time series models for 178 stores to forecast revenue and expenses, improving forecast accuracy by 10%
  • Built a SQL-powered Dash dashboard on Azure App Service to track 30+ financial KPIs, cutting reporting time by 40%
  • Automated ETL workflows using FastAPI, reducing data processing time from 6 hours to under 3 hours

Data Analyst & Support Intern — Barrier Breakers Inc., Princeton, NJ
June 2024 – Sept 2024

  • Migrated data from Trello, Evernote, and Zoho CRM to Monday.com via APIs with 99% accuracy
  • Automated data transfer scripts in Python, reducing manual work by 80%

Data Scientist, Junior Associate — Celebal Technologies, India
Jan 2021 – Sept 2022

  • Led a 3-member team to build a Tableau-based P&L dashboard with FastAPI + PostgreSQL
  • Built and deployed ARIMA and LSTM models for forecasting via Azure ML + Kubernetes, achieving 5% MAPE
  • Reduced RMSE by 18% using XGBoost and CatBoost; integrated SHAP for explainability and MLflow for tracking

PROJECTS

Comcast AI Challenge Winner — Philly Codefest 2025
Mar 2025

  • Built an AI-generated animated video using META AI + Runway ML
  • Used GPT-4 and ElevenLabs for script and voice synthesis

Medical Insurance Risk Prediction — Drexel University
Dec 2023 – Feb 2024

  • Developed XGBoost & Random Forest models for premium prediction with 92% accuracy
  • Deployed a Dash app on Azure App Services for real-time scoring

Addressing Algorithmic Bias in Healthcare, NMIMS University Apr 2023

  • Discuss a number of bias-checking parameters, various debiasing techniques, examine the effectiveness of debiasing techniques, and discuss the tradeoff between AI model equity and fairness

  • Examine the impact of different ML algorithms on bias in healthcare data, and identify parameters to check for algorithmic bias

  • Utilized Python, Scikit Learn library to train machine learning algorithms on the Diabetes Readmission Dataset, employed the AIF360 library to calculate fairness parameters & apply debiasing techniques to enhance model fairness

Telegram Bot - News on the Go, NMIMS University, Mumbai, India, Oct 2021

  • Built a NLP application to summarize news articles by applying sentence embedding using the sentence transformer model and deliver it through telegram

  • Calculate content relevance score, sentence novelty score, and sentence position score to determine the importance of each sentence within the article, applied a weighted average of these scores to rank and prioritize sentences, ensuring that the most informative and relevant ones are included in the summary

  • Leveraged the Google News API to source news articles, employed NLTK library to preprocess the articles, ensuring quality and consistency, applied the sentence transformers (S-Bert) model to vectorize the pre-processed texts, utilized NumPy library to calculate the scores and ensuring relevant content in the summary, integrated the Telegram API to deliver the summarized articles

LEADERSHIP & TEACHING

Teaching Assistant — Data Science Programming, Drexel University
Mar 2025 – June 2025

  • Taught Python, Linux, GitHub, NumPy, and Pandas to 70+ students
  • Designed coding assignments on data wrangling and high-performance computing

Research Assistant — Drexel University
Jan 2025 – June 2025

  • Deployed ResNet classifier using Triton Inference Server for batch inference of 10K images in 5s

Course Assistant — Human-AI Interaction, Drexel University
Dec 2024 – Mar 2025

  • Mentored 30+ students on XAI, fairness, and ethical AI practices

CERTIFICATIONS

Azure Data Scientist Associate, Microsoft, May 2022

Azure AI Engineer Associate, Microsoft, Mar 2022

Azure AI Fundamentals, Microsoft, Jan 2022

Azure Fundamentals, Microsoft, Jan 2022

TECHNICAL SKILLS

Programming Languages: Python, R, MATLAB, SQL, HTML, CSS, JavaScript

Libraries & Frameworks: NLTK , Sentence Transformers, BERT, Scikit-learn, Pandas,FastAPI, Flask, Django, Spark

Cloud & Software: Azure, AWS, Databricks, RStudio, Oracle Database, GitHub, Microsoft Office, Tableau, Docker

Concepts: Machine Learning, Ensemble Modeling, Tree-Based Models, Time Series Analysis, Data Analysis, NLP