Pratik Kumar Email & Phone Number

Jersey City, NJ, US

Northbrook, IL, US

• Developed various logistic and linear regression models for fraud detection, target marketing and churn prediction in R
• Extract, Transform and load data from sources systems to AWS Data Storage services using a combination of AWS Redshift, AWS S3, AWS EMR, AWS Glue and AWS Lambda.
• Created a prediction model in R to identify the clime submission pattern
• Developed storytelling dashboards in Tableau Desktop by taking various analytical reports from multiple data sources
• Worked on AWS Data Bricks workspace, Cluster, Mount, Secret Key and Delta DB setup. Using Data Bricks to Store Schema on External SQL Server.
• Finalizing the requirements and analyzing the In-scope and Out-scope for requirements

• Analyzed large customer datasets of different demographic groups to gain insight into dining tendencies using Map Reduce in Java and subsequently supporting the decision of running right campaign leading to.
• Used AWS stack for machine learning, network data transfer to cloud.
• Using AWS Glue orchestrated jobs, Read / Write data from multiple sources and destinations, performed data transformed and stored on destination.
• Performed the deep learning on the dataset using PyTorch in TorchServe environment.
• Used Random forest algorithm to help identify loyal customers and predicted the likelihood of customers buying a recommended product

• Performed Logistic Regression, Classification, Random Forests and Clustering in Python.
• Worked on Linear Discriminant analysis, Greedy Forward Selection, Greedy Backward Selection and Feature Selection, Feature reduction algorithms like Principal Component Analysis and Factor Analysis.
• Used multiple machine learning algorithms, including random forest and boosted tree, SVM, SGD, neural network, and deep learning using TensorFlow.
• Skilled with Python parsing, manipulating, and converting data to and from a wide range of formats (CSV, json, XML, html, etc).
• Familiarity with the AWS ecosystem, including tradeoffs between services that meet overlapping needs.
• Responsible for elevating the code into CI/CD process using development, test, and Production environments on schedule. Provides Production support when needed

• Responsibilities
• Performed data extraction, aggregation, log analysis on real time data using Spark Streaming
• Experience working in project with data visualization, R and Python development, Unix, SQL
• Performed exploratory data analysis using numpy, matplotlib and pandas
• Expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand trends and insights.
• Experience in using the Lambda functions like filter (), map () and reduce () with pandas Data Frame and perform various operations.