SONAM DE
Vancouver
Summary
Experienced data analyst with strong background in statistical analysis, machine learning, and data visualization. Skilled in Python, R, SQL, and various data processing tools, with focus on delivering actionable insights. Known for collaborative approach, adaptability, and consistently achieving impactful results in dynamic environments. Recognized for problem-solving abilities and innovative thinking in leveraging data to drive business decisions.
Overview
14
14
years of professional experience
Work History
Data Analyst
Hewlett-Packard Inc.
09.2021 - 11.2024
- Implemented deep learning models to classify customer complaint data, uncovering the most frequent issues and their root causes, which improved customer support efficiency
- Optimized data pipelines for both structured and unstructured data, ensuring data quality and readiness for Analytics
- Delivered a machine learning solution that predicted product failures with 89% accuracy, helping the team fix issues earlier and reduce support personnel
- Reported actionable insights on product failures with stakeholders through Tableau and Looker dashboards, leading to a 4% improvement in product performance and minimizing sales disruptions
Data Analyst
Pacific Northwest National Laboratory
07.2020 - 09.2021
- Developed Linux scripts for high-dimensional chemistry computations and automated open-source data parsing using Selenium, streamlining cluster job submissions and improving data preparation efficiency by 15%
- Applied deep learning models to classify protein structures in images, contributing to more accurate and efficient structural analysis in biological research
- Implemented deep learning models to predict molecular formulas from 2D chemical structures, achieving a model accuracy of 87%
- Forecasted aqueous solubility using machine learning models (KNN, Random Forest, Boosting algorithms)
Software Quality Analyst
Cognizant Technology Solutions
11.2010 - 06.2019
- Designed comprehensive test strategy for health insurance software that reduced defect leakage
- Spearheaded defect triaging processes, improving resolution times, enhancing collaboration between QA and dev
- Automated regression test suite using Selenium tool reducing test cycle time and improved efficiency by 18%
- Mentored junior QA analysts to enhance team proficiency in tools such as JIRA while leading team of six analysts to deliver high-quality projects ahead of deadlines
Education
Master of Science - Computer Science and Engineering
Oregon Health & Science University
03.2021
Bachelor of Science - Computer Science and Engineering
West Bengal University of Technology
03.2010
Skills
- Excel
- SQL databases
- Python programming
- R programming
- GIT
- R Shiny
- NumPy
- Pandas
- SciPy
- Seaborn
- Scikit-learn
- Ggplot2
- Matplotlib
- PyTorch
- TensorFlow
- AWS
- Spark
- Oracle
- Looker
- Power BI
- Tableau
- Databricks Dashboards
- Qlikview
- Statistical analysis
- Natural language processing
- Data mining
- Predictive Modeling
- Feature engineering
- Deep Learning
- A/B testing
- Agile methodology
- Automation testing
- Defect Triage
- Functional and Non-Functional testing
- HP-ALM
- JIRA
- Regression Testing
- Selenium
- STLC
- Test strategy and planning
Timeline
Data Analyst
Hewlett-Packard Inc.
09.2021 - 11.2024
Data Analyst
Pacific Northwest National Laboratory
07.2020 - 09.2021
Software Quality Analyst
Cognizant Technology Solutions
11.2010 - 06.2019
Master of Science - Computer Science and Engineering
Oregon Health & Science University
Bachelor of Science - Computer Science and Engineering
West Bengal University of Technology
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