Sunaina Jain — Data Analyst

Sunaina Jain is a Data Analyst with 2+ years turning raw, messy data into clean datasets, interactive dashboards and clear, decision-ready insights. She cleans and validates large datasets in SQL and Python, builds Power BI and Tableau dashboards that track KPIs, and communicates findings that drive faster decisions. She is Microsoft Azure Data Scientist Associate and Google Data Analytics certified and holds a Post-Baccalaureate Diploma in Data Analytics from Langara College. She is open to Data Analyst roles.

Skills & Expertise

• Languages & Query: SQL, Python, R, Advanced Excel
• BI & Visualization: Power BI, Tableau, Matplotlib, Seaborn
• Data & Analytics: data cleaning & validation, Pandas, NumPy, PySpark, statistical analysis, hypothesis & A/B testing, RFM & clustering
• Databases & Cloud: Azure SQL, Azure Machine Learning, AWS S3
• Machine Learning: scikit-learn, XGBoost, forecasting, NLP (Hugging Face), TensorFlow
• Tools: Git, Docker, FastAPI, Streamlit

Projects

• IBM HR Analytics — explainable employee-attrition analysis with XGBoost, SHAP and Tableau dashboards.
• Fraud Detection — detecting fraudulent transactions and accounts via EDA, feature engineering and classification.
• Patient Readmission Risk — Azure MLOps — production MLOps pipeline on Azure ML deployed to a Managed Online Endpoint.
• E-Commerce Customer Segmentation — RFM analysis and K-means clustering.
• My Glucare — deployed blood-glucose forecasting REST API (FastAPI + LightGBM).
• World Chess Tournaments Analysis — big-data EDA in PySpark.
• Clustering NYC Taxi Trips — demand-zone discovery.
• Long Article Summarizer — abstractive summarization with BART and T5 (NLP).

Experience

• Data Analyst, Sharav Info Tech (Mississauga, ON), Sep 2025–Present — cleaned and validated 50,000+ payroll and employee records (SQL, Python, Excel), built 5+ Power BI dashboards, and optimized Azure SQL reporting, cutting report-prep time 30%.
• Junior Data Analyst (Contract), Free Fuse (Remote), Jan–Sep 2025 — built a sentiment and emotion analysis pipeline (Python, NLP) delivered as a Streamlit app, and prepared reports for stakeholders.
• Research Assistant, Langara College Applied Research Centre (Vancouver, BC), Apr 2024–Jan 2025 — collected, organized and analyzed research data; prepared reports, presentations and documentation.

Education

• Langara College — Post-Baccalaureate Diploma in Data Analytics (GPA 3.48), Vancouver, BC.
• Lovely Professional University — B.Tech, Computer Science (GPA 3.66), India.

Certifications

• Microsoft Certified: Azure Data Scientist Associate.
• Google Data Analytics Professional Certificate.
• AWS Fundamentals of Data Engineering (Udemy).
• IELTS Academic — Band 7+ (achieved twice).

Contact

Email: jainsunainajain2001@gmail.com · LinkedIn · GitHub