Aditi Upadhyay

Aditi Upadhyay is a highly skilled professional with a strong passion for storytelling through data analysis. With experience in diverse industries such as Finance, Insurance, Stock Market, Social Media, Food, Nutrition, and Restaurants, Aditi has honed her expertise in data analytics.

Specializing in Data Ingestion, Transformation, Statistical Analysis, and Data Visualization, Aditi excels in utilizing various Statistics and Machine Learning Techniques like Naive Bayes, Logistic Regression, Decision Tree, and more for both supervised and unsupervised learning.

Aditi's programming skills include proficiency in Python libraries such as Numpy, Pandas, Matplotlib, and scikit-learn, as well as R packages like GGPLOT2 and CARET. She is also well-versed in technical tools like Hadoop, Hive, Impala, SQL databases, Power BI, and Tableau, with expertise in Big Data technologies and cloud platforms like Microsoft Azure.

With a strong educational background, Aditi holds a Master's Degree in Computer Science from the University of Toledo and a Bachelor's Degree in Electrical and Electronics Engineering from Anna University. Her professional experience includes roles as a Data & Analytics Manager at EY, Student Associate at The University of Toledo, and Application Developer at iNautix Technologies.

Aditi's analytical skills encompass forecasting, regression, classification, hypothesis testing, A/B testing, and predictive analytics. Her functional knowledge extends to Data Warehousing, DW Design & Modeling, making her a well-rounded professional in the field of data analytics.