Sejal Shah
Data Scientist looking for more challenging opportunities
- Role
- Data Scientist at Leo Burnett
- Location
- Morris Plains, NJ, US
- LinkedIn followers
- 500 followers
About Sejal Shah
An enthusiastic and hardworking individual with excellent writing, communication, presentation and interpersonal skills with the ability to work independently and ready to accept challenges and learn new technologies.
Experience
Data Scientist
Nov 2022 — Present · Morris Plains, NJ, US
Pulled and cleansed necessary data for creating several data science models for the client Kelloggs.Data Science Projects:• Topic modelling in R – Conducted an in-depth analysis of 9,730 Cheez-It and 6,922 Pringles neutral sentiment verbatims. Developed a World Cloud Analytics solution that identified three distinct themes/topics. Compared these word clouds with those generated from negative sentiments and concluded that a significant portion of neutral comments centered around offering suggestions and making inquiries.• Factor Analysis in data bricks Python- Conducted a comprehensive Factor Analysis on a dataset consisting of 387 market trend elements and selected the most pertinent 45 elements for further analysis. Utilized correlation matrix and Scree plots and successfully derived two latent factors, namely \"Brand Switchers\" and \"Price Sensitivity,\" from the obtained factor scores.• Random Forest Regression in data bricks Python– Focused on predicting missing values for the \'number of children in a household\' variable. Employed 10 carefully selected independent variables to enhance prediction accuracy. Leveraged a dataset comprising 147 million null values and 42 million non-null data points for training. Achieved impressive results, with the model yielding an R-squared (R²) value of 85% and a Mean Squared Error (MSE) of 28%.• K Nearest Neighbor in data bricks Python – Successfully preprocessed and cleansed a substantial dataset with dimensions 1.4 million rows x 281 columns. Employed an elbow curve approach to determine the optimal value of K, enhancing the accuracy of results. Effectively identified the distinctive attributes of buyers associated with various Kellogg products.
Education
Rutgers University–New Brunswick
Master of Science - MS, Master in Information Technology and Analytics
2018 — 2020
INDUS UNIVERSITY
Bachelor of Technology - BTech, Electronics and Communications Engineering
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