Summary
Overview
Work History
Education
Skills
Timeline
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Netra Shah

Dallas,TX

Summary

Dedicated and highly skilled software engineer with experience in designing, developing, and delivering high-quality software solutions. Proficient in multiple programming languages and technologies, with a strong background in data analytics. Adept at collaborating with cross-functional teams to solve complex technical challenges and consistently meet project deadlines. Committed to staying current with industry trends and continuously enhancing technical skills to drive innovation and deliver top-notch software products

Overview

6
6
years of professional experience

Work History

Associate

Goldman Sachs
05.2023 - Current
  • Designed and implemented Python-based machine learning algorithms utilizing scikit-learn for anomaly and outlier detection, resulting in substantial improvements in data quality and analytical precision. This initiative led to a remarkable 15% reduction in client complaints.
  • Utilized cutting-edge Big Data Technologies, including Spark, Spark SQL, and PySpark, to analyze data, uncover trends, and identify patterns through development of a Python-based API.
  • Implementing stringent SQL and Presto queries for data quality controls, ensuring data accuracy and reliability.
  • Collaborated with cross-functional teams to develop and deploy ML-based algorithms, fostering teamwork and cooperation
  • Maintained positive customer relations by engaging in effective communication and providing helpful assistance.

Graduate Technical Intern

Intel
08.2022 - 04.2023
  • Demonstrated adaptability and teamwork by working on the entire Software Development Life Cycle of a Python‑based web application for statistical analysis, from requirements gathering, Data Wrangling, Data Cleaning, and UI development to cloud deployment
  • Leveraged in-depth statistical expertise, including the ANOVA tests, p-tests, feature engineering, and more, to perform comprehensive data analysis.
  • Proactively conveyed and shared statistical insights with stakeholders, promoting a culture of data-driven decision-making.
  • It helped to reduce the overall manual debugging time of next-generation Intel XEON processors by 25%.

Executive Engineer, Associate Engineer

Lnt Technology Services
04.2017 - 05.2021
  • Developed firmware applications using C, C++, and developed & integrated Python GUI applications with it
  • Received 5/5 Customer Satisfaction Rating
  • Proposed cost cutting solution, and developed automation test scripts for bug detection as well as other mundane tasks
  • As result, saved daily 2‑3 hour for team
  • Redesigned existing Jenkins CI/CD pipeline that reduced deployment time by 50%.
  • Developed automation testing using Groovy and Ruby

Education

Master of Science - Computer Engineering

The University of Texas
Dallas
03.2023

Skills

  • Programming skill and Tools : Python, C, C, SQL, Pandas, NumPy, Scikit‑learn
  • Tools: Snowflake, Alation, Databricks , Git, Jira, Jenkins
  • Data Analysis skill: Statistical analysis, Data quality control, Anomaly detection, Machine learning algorithms, Data automation, Data optimization, Data visualization

Timeline

Associate

Goldman Sachs
05.2023 - Current

Graduate Technical Intern

Intel
08.2022 - 04.2023

Executive Engineer, Associate Engineer

Lnt Technology Services
04.2017 - 05.2021

Master of Science - Computer Engineering

The University of Texas

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Netra Shah