Pradeep B

Machine Learning/Data Scientist

Executive Summary & Candidate Overview

Pradeep is a seasoned Data Scientist with extensive experience in leveraging advanced analytical techniques to extract valuable insights from complex datasets. With a strong background in machine learning, data visualization, and statistical modeling, Pradeep has successfully led numerous projects across industries, driving business growth and optimizing operational efficiency. His ability to translate business requirements into analytical models and his proficiency in designing and implementing data pipelines make him a valuable asset in any data-driven organization.

Accomplishments and KPIs

Proficient in machine learning algorithms including Logistic Regression, Decision Trees, Random Forest, SVM, K-means clustering, and Neural Networks.
Experienced in data visualization with Tableau, Matplotlib, and Seaborn, translating complex data insights into clear and compelling presentations.
Skilled in data acquisition, data cleaning, and feature engineering using Python libraries such as Pandas, NumPy, and SciPy.
Strong background in statistical modeling, time series analysis, and forecasting using ARIMA, GARCH, and other parametric models.
Expertise in text analytics, natural language processing (NLP), and deep learning techniques including ANN, CNN, RNN, and LSTM.
Proficient in designing and implementing end-to-end data pipelines using Python, PySpark, and Hadoop ecosystem technologies.
Experienced in building and deploying machine learning models in production environments, ensuring scalability, reliability, and performance.
Knowledgeable in SQL and NoSQL databases, with experience in writing and optimizing SQL queries for data extraction and manipulation.
Skilled in test automation and building frameworks using Python, ensuring the quality and efficiency of data processing workflows.

Work Experience

Centene Corporation Machine Learning/Data Scientist April 2021 to Present

Led various phases of data acquisition, cleaning, model development, and visualization to deliver solutions.
Developed machine learning models using Python and deployed them on AWS for real-time prediction.
Implemented sampling techniques and handled imbalanced datasets for fraud detection using Scikit-learn.
Collaborated with cross-functional teams and stakeholders to analyze and interpret complex data sets.

Edward Jones Data Scientist/Machine Learning May 2020 to March 2021

Analyzed logs data and performed predictive analytics using machine learning algorithms.
Migrated MapReduce programs to Spark transformations using Spark and Scala.
Utilized Python libraries for data analytics, data wrangling, and feature extraction.
Deployed scalable Hadoop clusters on AWS and utilized AWS Lambda for server management.

Client - Maharashtra Data Scientist February 2018 to January 2020

Gathered and analyzed application requirements, translating them into data models.
Applied RFM clustering technique for customer segmentation and lifetime value analysis.
Utilized Hadoop ecosystem tools for data acquisition and manipulation.
Implemented machine learning algorithms for predicting customer behavior and revenue forecasting.

Bluecoat Systems Data Scientist June 2014 to January 2018

Conducted market analysis and increased portfolio and customer base by leveraging data insights.
Practiced data cleaning and ensured data quality using Pandas and NumPy.
Implemented financial time series analysis and fraud detection techniques.
Extracted and analyzed transaction data using PySpark and Scikit-learn for revenue forecasting.

Location and Travel

Open to: Remote, Hybrid, and On-site roles.
Compensation: Competitive salary based on role and responsibilities
Position Seeking: Data Scientist, Machine Learning Engineer, or similar roles.