Overview
Work History
Skills
Accomplishments
Projects
Timeline
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VIDHI Yadav

VIDHI Yadav

Pune

Overview

3
3
years of professional experience

Work History

Data Engineer-IBM Cognos TM1 Developer

LTIMindtree
Pune
06.2022 - Current
  • Created automation leveraging Pandas to preprocess and transform data files into CSV format, facilitating automatic TM1 cube uploads with no manual intervention.
  • Developed Automated object cleanup in TM1 using batch scripts and TurboIntegrator processes to identify and remove unused objects, improving system performance.
  • Migrated objects to a new server and performed configuration setup to ensure seamless integration and functionality of all migrated modules.
  • Enhanced data load efficiency by implementing parallelization techniques, significantly reducing processing time to 70% and improving throughput.
  • Mentored new trainees and conducted knowledge-sharing sessions, ensuring smooth onboarding and transfer of skills and best practices.
  • Worked closely with users to understand their needs and built automated solutions using TM1 Forms to make their processes easier and more efficient
  • Analyzed and resolved root causes of failures during monthly and weekly data loads, ensuring timely recovery.
  • Provided user support for data-related and security issues, facilitating smooth operations.

Intern

Larson and Toubro Infotech(LTI)
01.2022 - 05.2022
  • Created a dashboard to track and visualize the company’s skill-based growth, providing valuable insights for decision-making.
  • Developed reports using Power Query Editor and Power BI Desktop, transforming data into actionable insights for improved decision-making.
  • Utilized Employee FTE and Revenue datasets to create reports in Power BI, delivering key insights on workforce and financial performance.

Skills

  • IBM Cognos TM1
  • Planning Analytics
  • Python
  • Pandas
  • JAVA
  • Power BI
  • Machine Learning
  • Databricks
  • SQL
  • Deep Learning

Accomplishments

  • Data Engineering with Databricks
  • Data Science using Python: Data Manipulation using Pandas, Data Visualization using Matplotlib and Seaborn, Data Extraction using BeautifulSoup
  • Python for Data Science: Basics of Python and Data Analysis using Pandas and NumPy
  • Machine learning

Projects

  • Comcast Telecom Consumer Complaints: Here we have complaints data, and we have to find insights from the data to decrease the number of complaints using Python. Analyzed data using pandas and matplotlib
  • Mercedes-Benz Greener Manufacturing

Timeline

Data Engineer-IBM Cognos TM1 Developer

LTIMindtree
06.2022 - Current

Intern

Larson and Toubro Infotech(LTI)
01.2022 - 05.2022

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VIDHI Yadav