Summary
Overview
Work History
Education
Skills
Certification
Project
Timeline
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Nikesh Singh

Machine Learning Engineer
Varanasi

Summary

Machine Learning & Data Analytics Professional – Proven track record at TCS gitanjali in transforming complex datasets into actionable insights. Excelled in leveraging databricks, SQL, and advanced data visualization to deliver quant-driven optimization solutions and enhance decision-making processes.

Overview

4
4
years of professional experience
4
4
Certifications

Work History

Machine Learning Engineer

TCS Gitanjali Park
01.2022 - Current
  • Developed and deployed machine learning models on Databricks using Spark and MLflow, leveraging Azure infrastructure for large-scale data processing.
  • Experience with cloud CI/CD, model versioning, and scalable inference processes, ensuring reliable and maintainable production deployments.
  • Improved decision-making processes with accurate data analysis and Visualization techniques.
  • Utilized data visualization tools to effectively communicate business insights.
  • Collaborated with business analysts and data scientists to deliver real-time analytics and actionable business insights

Education

B.Tech - B.Tech

United College of Engineering And Reserch
Prayagraj, India
04.2001 -

Skills

Data Analysis

Data visualization and presentations

SQL

Machine Learning And Artificial intelligence

Databricks

Azure

Quant Analysis

Certification

Microsoft Certified, Data Analyst Associate - Microsoft.

Project

  • Analyzing baby name in america:
  • Analyzed American baby name trends and popularity changes since 1920, using data from the United States Social Security Administration.
  • Developed an automation tool to categorize files based on extensions, simplifying inventory tracking. (Note: This second sentence seems out of place. If it's related to baby names, clarify the connection. If it's a separate project, move it elsewhere
  • Netflix SQL:
  • {Leveraged SQL to perform a comprehensive analysis of Netflix's content library (movies and TV shows).,Extracted valuable insights into content trends, viewer preferences, and performance metrics.
  • Analyzed Netflix movie and TV show data using SQL to identify key trends and answer critical business questions related to content performance and viewer engagement.
  • Analyzing the distribution of content types (movies vs TV shows):
  • Built an interactive Power BI dashboard to analyze Amazon Prime Video content, revealing key trends in genre, viewer ratings, and release patterns. This tool provided actionable insights for content strategy and audience engagement
  • Highlighted key metrics including genre trends, viewer ratings, and release patterns.
  • Enabled data-driven insights to support decision-making in content strategy and audience engagement

Timeline

Machine Learning Engineer

TCS Gitanjali Park
01.2022 - Current

B.Tech - B.Tech

United College of Engineering And Reserch
04.2001 -

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