**Shrey Jaradi**
(312) 934-6334 | sjaradi@hawk.iit.edu
linkedin.com/in/shreyjaradi | github.com/Shreyjaradi | shreyjaradi.github.io

### **EDUCATION**
**Illinois Institute of Technology**, Chicago, IL
*Master of Science in Data Science* | Aug 2022 – May 2024
- **Courses**: Machine Learning, NLP, Data Preparation & Analysis, Applied Statistics, Data Intensive Computing, Data Structures & Algorithms

### **SKILLS**
- **Programming**: Python, R, C++, SQL, HTML, CSS
- **Cloud & Big Data**: Azure, Hadoop, HDFS, Apache Spark
- **Machine Learning & Gen-AI**: Random Forest, Neural Networks, Transformers, PyTorch, TensorFlow
- **Tools & Methodology**: Power BI, MSSQL, Git, Docker, Agile, Azure DevOps (CI/CD), MongoDB (NoSQL), SSMS, SSAS, Numpy, Pandas

### **WORK EXPERIENCE**
**Graduate Teaching Assistant**
*Illinois Institute of Technology, Chicago, US* | Aug 2023 – May 2024
- Assisted in instruction & grading for *Relational Databases, Data Preparation & Analysis, Linear/Nonlinear Regression*
- Conducted review sessions & office hours for student support

**Data Engineer**
*Accenture Solutions, Hyderabad, India* | June 2021 – Aug 2022
- Built 30+ ETL/ELT pipelines in **Azure Data Factory** & **Synapse** (CosmosDB, SQL Server)
- Developed 5+ **Power BI dashboards**; optimized SQL Server stored procedures & **Azure Analysis Services** models
- Improved efficiency by **5%** via data migration & archival strategies

**Software Engineer**
*Softtek India, Bengaluru, India* | April 2019 – June 2021
- Developed a **Dialogflow-based mobile app** automating service-now tickets (9% manual work reduction)
- Led a team of 2 to automate **Nova University account termination** (8% efficiency gain via Selenium/Python)

### **RESEARCH PROJECTS**
**Rating Imputation for Context-Aware Recommenders** | *Python, CARSKit* | Jan 2024 – May 2024
- Addressed data sparsity using Mean/Hot-Deck/Iterative methods; benchmarked on CARSKit

**Cryptocurrency Predictive Analysis** | *Python, Crypto-BERT* | Jan 2023 – May 2023
- Achieved **67% accuracy** with Random Forest & CatBoost models using sentiment analysis

**CNN vs Transformers for Image Classification** | *TensorFlow, ResNet18* | Aug 2023 – Dec 2023
- Fine-tuned **ResNet18** achieved **95.7% accuracy** on waste image classification

### **CERTIFICATIONS & ACHIEVEMENTS**
- **Deep Learning Specialization** (Coursera, Andrew Ng)
- **Microsoft Certified: Azure Fundamentals (AZ-900)**
- **ACM ICPC Amritapuri Regional** participant
- Co-founded **WebStories** (custom web development firm)
- **Open Source Contributor** at PyCon 2024 (NumPy documentation)

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