Shubham Sharma

Dynamic E-Commerce Analyst with a proven track record at Bamby, leveraging SQL and data visualization tools to enhance campaign performance and drive strategic decisions. Adept at data-driven decision making, I successfully optimized key performance indicators, resulting in significant traffic growth and improved visibility. Passionate about delivering impactful insights and fostering collaboration.

• Bank Customer Market Segmentation (Self Project): 

◦ Visualized data through box plots, distribution plots, heatmap etc. to identify outliers, skewness and correlation in data. 

◦ Performed Hierarchical Clustering & selected optimal clusters to identify various spending groups of customers. 

◦ Applied Elbow Method to identify optimal clusters in K Means clustering and authenticated using Silhoutte Score.

• Identification of Protein subset for Down’s Syndrome Treatment : 

◦ Performed EDA on Mice Protein Expression dataset and eliminated correlated variables and imputed missing variables 

◦ Applied Logistic Regression, Random Forest, SVC classifiers and compared performance using different score measures. 

◦ Checked feature importance and applied recursive feature elimination to observe performance with reduced features.

• Automatic speech Emotion Recognition: 

◦ Studied Exploratory Data Analysis on Berlin Database & Spanish Emotional Database containing 5 different Emotions 

◦ Reviewed Multivariate Linear Regression, SVM & Recurrent Neural Network to obtain the most logical conclusions 

◦ Quantified experimental results based on various metrics- Accuracy, F1 score, Confusion Matrix for validation.

• Completed Data Analytics and Visualization job Simulation, Accenture, 01/24
• Winner at State level football match, 2018
• Completed Data Science with Python, Coding Ninja, 2018
• Completed Internship in Automotive Mechatronics, Mercedes, 2017