Shivani Shrivastav
Data Scientist | Healthcare & E-Com Analytics | SQL • Python • Excel • EMR | Built 85%+ Accuracy Risk Models | Using Data to Reduce Readmissions & Boost Revenue by 27%#DataAnalyst #ArtificialIntelligence #ETL #Bigdata
- Role
- Data Engineering Intern at Springer Capital
- Location
- Mountain View, CA, US
- LinkedIn followers
- 500 followers
About Shivani Shrivastav
Data isn’t just numbers—it tells a story. I make sure it’s the right one!\"Hi, I’m Shivani Shrivastav—a Data Scientist & Analytics Professional with a passion for transforming raw data into meaningful insights. My journey began with a Bachelor’s in Electronics & Communication Engineering, where I developed a strong analytical mindset. That passion led me to pursue a Master’s in Data Science at Illinois Tech, where I’ve worked on big data processing, machine learning models, and AI-driven automation. What I Bring to the Table: Machine Learning & AI: Developed predictive models and fraud detection systems, improving accuracy by 15% using XGBoost, Random Forest, Deep Learning, and NLP. Big Data & Cloud Computing: Optimized ETL pipelines and data processing with AWS (EMR, Glue, Kinesis), Snowflake, Databricks, and Apache Spark, reducing processing time by 35%. Business Intelligence & Visualization: Created dynamic dashboards in Power BI, Tableau, and Excel, enhancing decision-making by 30%. Data Automation & Engineering: Built automated workflows using Python, R, SQL, MySQL, and Power Automate, improving efficiency. Why Work With Me? Problem-Solver: I love breaking down complex data challenges into actionable solutions.🤝 Cross-Functional Communicator: I collaborate with engineering, product, and business teams, ensuring data insights translate into real-world impact. Leadership & Mentorship: I actively participate in career fairs, mentoring aspiring professionals and sharing industry knowledge. My Impact: Built a fraud detection model that improved accuracy by 15%. Developed big data pipelines, optimizing processing speed by 35%. Automated business intelligence dashboards, improving decision-making by 30%. Looking for:I’m currently open to full-time opportunities in Data Science & Analytics, where I can apply my skills to solving complex challenges across industries. Passionate about using data to drive innovation and smarter decisions.\"I believe data has the power to create change, and I’m excited to make that happen!\" Let’s connect!#OpenToWork #DataScience #Analytics #MachineLearning #AI #BigData #SQL #Python #R #PowerBI #AWS #DataEngineering #Cloud #ETL #DataVisualization #PredictiveModeling #Excel
Experience
Data Engineering Intern
May 2025 — Present · Chicago, IL, US
Engineered and automated ETL/ELT pipelines with Apache Airflow, Spark, SQL, and Docker, reducing data ingestion time by 30% across batch and streaming workflows.Designed and maintained data models for financial datasets, enabling accurate reporting and supporting analytics teams with faster turnaround by 25%.Monitored workflow health, validated data quality, and implemented troubleshooting protocols that cut pipeline failures by 20%.Collaborated with senior engineers to document processes and enforce best practices in workflow orchestration, improving knowledge transfer and team efficiency.
Education
Illinois Institute of Technology
Master's degree, Data Science
Acropolis Group of Institutions
Bachelor of Engineering - BE, electeonics and communication
Rajiv Gandhi Prodyogiki Vishwavidyalaya
Bachelor of Engineering - BE, Electrical, Electronics and Communications Engineering
2015 — 2019
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