Data Analyst | Data Engineer | M.S. Data Analytics @ Northeastern University
I enjoy transforming raw data into meaningful insights and building scalable data solutions that help organizations make better decisions. My experience spans data engineering, analytics, business intelligence, machine learning, and AI-powered applications.
- 🎓 Master's in Data Analytics from Northeastern University (GPA: 3.9)
- 📊 3+ years of experience in Data Analytics and Data Engineering
- 🛠️ Passionate about data pipelines, ETL processes, SQL optimization, and dashboard development
- 🤖 Interested in AI, Machine Learning, LLM evaluation, and data-driven product development
- 🌎 Currently seeking Data Analyst, Data Engineer, and Analytics opportunities
Python • SQL • R • PySpark
ETL Pipelines • Data Validation • Data Modeling • Data Warehousing • Data Quality
Power BI • Tableau • Advanced Excel • KPI Reporting • Data Visualization
AWS S3 • GitHub • Snowflake • Databricks
Scikit-learn • Predictive Modeling • Feature Engineering • LLM Evaluation
Designed a relational healthcare data warehouse using SQL and MySQL, implementing advanced reporting with CTEs, joins, and window functions.
Built a machine learning application using Python and Spark to automate loan approval predictions with 95% model accuracy.
Developed data validation and benchmarking workflows to evaluate multiple AI model variants and improve response accuracy.
- Improved operational response accuracy by 10% through optimized data pipelines and model evaluation frameworks.
- Automated data cleansing and reporting workflows using Python, reducing manual effort and improving reliability.
- Supported large-scale data integration initiatives involving 80,000+ records while ensuring data integrity and reporting accuracy.
📧 Email :ritsharma5566@gmail.com
💼 LinkedIn: www.linkedin.com/in/ritikasprofile
🔗 GitHub: github.com/RSharn
"Storytelling through Data."