Summary
Overview
Work History
Education
Skills
Websites
Languages
Timeline
Generic

Pradeep Somasundaram

Washington

Summary

Versatile Data Scientist and Analyst with experience in statistical modeling, data engineering, and analytics. Proven track record in solving real-world business problems using Python, SQL, and machine learning. Adept at building predictive models, developing interactive dashboards, and working with large datasets to generate actionable insights. Skilled in translating complex data into impactful business strategies through visual storytelling and advanced analytics.

Overview

3
3
years of professional experience

Work History

Data Scientist

Shree Kay Vee Automation
05.2023 - 07.2023
  • Improved data integration accuracy by 30% and reduced latency by 40% by building automated ETL pipelines using Python and SQL, enabling faster analytics delivery. Reduced equipment downtime by 20% through developing predictive maintenance models with time-series analysis, cutting operational costs. Boosted data-driven planning adoption by 15% by deploying real-time Power BI dashboards and aligning data infrastructure with business goals.

India Data Science Intern

KaaShiv InfoTech
01.2023 - 03.2023
  • Reduced manual workload by 40% by automating recurring data transformation tasks using SQL scripts and Python routines. Improved churn risk detection by 18% by collaborating on financial forecasting models, enabling more effective retention strategies. Enhanced business performance visibility and stakeholder confidence by integrating real-time API data into dashboards.

Remote Machine Learning & AI Intern

IBM
08.2022 - 12.2022
  • Improved financial prediction precision by 22% by building neural forecasting models (LSTM, XGBoost), enabling data-driven investment strategies. Cut model inference time by 35% by streamlining multi-threaded data pipelines with gRPC and Docker. Boosted user response accuracy by 27% through designing RAG pipelines for financial Q&A bots.

India Data Analyst Intern

Shree Kay Vee Automation
05.2020 - 07.2022
  • Improved system uptime by 18% by analyzing IoT sensor data to detect anomalies and prevent failures. Accelerated inventory decisions by 20% through advanced Power BI visualizations for supply chain analytics. Enhanced data reliability and reduced report errors by 15% by validating and normalizing historical datasets.

Education

Master of Science - Data Science

The George Washington University
Washington, DC
05.2025

Skills

  • Python
  • SQL
  • Bash
  • XGBoost
  • LSTM
  • TensorFlow
  • Power BI
  • Tableau
  • A/B Testing
  • ETL
  • Airflow
  • Snowflake
  • AWS (S3, Lambda)
  • GCP (BigQuery)
  • Docker
  • Git

Languages

English
Full Professional

Timeline

Data Scientist

Shree Kay Vee Automation
05.2023 - 07.2023

India Data Science Intern

KaaShiv InfoTech
01.2023 - 03.2023

Remote Machine Learning & AI Intern

IBM
08.2022 - 12.2022

India Data Analyst Intern

Shree Kay Vee Automation
05.2020 - 07.2022

Master of Science - Data Science

The George Washington University

Similar Profiles

CREATE PROFILE