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    Smriiti Singhal

    Data Scientist at Quantiphi - UIUC Alum

    Smriti Singhal is a seasoned Data Science and Analytics professional with over 5 years of experience in industries like data analysis, predictive modeling, business intelligence, machine learning, and data visualization.

    Her skills include proficiency in SQL, Python, Tableau, and Scikit-learn and a strong command over databases, statistical analysis, and cloud platforms.

    Smriti's expertise spans a wide range of areas including programming with SQL and Python, visualization tools like Tableau, Data Studio, and various Python libraries, machine learning techniques such as Regression, Classification, Clustering, and NLP, utilizing libraries like Pandas, Numpy, Scikit-learn, and RAPIDS.

    Moreover, she is well-versed in statistical methods like A/B Testing, Hypothesis Testing, Sampling, and ANOVA, and has hands-on experience with cloud computing platforms such as Google Cloud Platform, BigQuery, Spark, and Databricks as well as popular databases like MySQL, Oracle, PostgreSQL, and Cloud SQL.

    She pursued her education by earning a Master of Science (MS) in Information Management specializing in Data Science and Analytics from the University of Illinois at Urbana-Champaign, where she excelled with a remarkable GPA of 3.94. Earlier, she completed her Bachelor of Technology (BTech) in Electronics and Communications Engineering from Shiv Nadar University.

    Throughout her career, Smriti has contributed her expertise as a Data Scientist at Quantiphi, and has prior experience working as a Data Scientist at AARP - The Tech Nest, a Data Analyst at Fiserv, and as a Data Analytics Intern at WIHG.

    Smriiti Singhal
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    Location

    Seattle, Washington, United States