Overview
Work History
Education
Skills
Accomplishments
Work Preference
Timeline
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RASHMI PRIYA

Sr. Executive
Hyderabad,TG

Overview

2
2
years of professional experience
1
1
Language

Work History

SR. EXECUTIVE

Tata Advanced System Limited
Hyderabad
08.2022 - Current
  • Worked on Python, NX, etc., transformed raw data files provided by the client into a structured, application-ready state for further use
  • Used Python's os module to automate traversal through nested folder hierarchies, and searched zip files
  • Utilized the zipfile module to extract the contents of zip files, dynamically creating output directories based on file extensions
  • Deployed PyMuPDF to process PDF files, extract embedded attachments (.prt, .csv, .igs, .stp, .log), and organize them into folders by their extensions using os
  • Automated error handling for corrupt zip files, using detailed reports for client follow-up on invalid datasets
  • Used tqdm to display real-time progress for operations on large datasets
  • Integrated Tkinter to design simple graphical interfaces for enhancing user interaction during file processing tasks
  • Automated recursive searches for specific part files across nested directories used the .NET Framework library (System, System.IO) and C#
  • CAD automation for conversion of PRT files to JT files in Siemens NX by configuring tessellation parameters for multi-level LOD outputs, balancing model accuracy using PvtransManager, NXOpen API, and C#
  • Airbus:
  • VBA Scripting (macros) for auto renaming of tree structure of CAD model by taking input from excel
  • Project Lifecycle Management (PLM) tool implementation:
  • Collaboration with all the departments to understand their workflows, documentation, and analyze inter-departmental data flows in the aircraft manufacturing industry
  • Requirement analysis for PLM, based on understanding of the organization's needs via the above study
  • Identified and Documented Process Inefficiencies: Used data analysis to uncover inefficiencies, bottlenecks, and potential improvements across workflows, providing actionable insights to streamline operations
  • Developed PLM Requirements Based on Data-Driven Insights: Defined critical requirements for PLM software by analyzing organizational needs and mapping functional requirements for digitalization
  • Other Projects:
  • Model detail part in CATIA for airbus, quality check for their part
  • Read and understand the engineering drawing of Boeing to find out the optimum stock size for their detail parts.

Education

Master Of Technology - Manufacturing Engineering

Indian Institute of Technology
July 2022

Skills

  • 95/
  • Bold Profile
  • SKILLS
  • Data Engineering:
  • PySpark, Pandas, NumPy
  • SQLAlchemy, SQL, MySQL
  • ETL
  • Python:
  • PyMuPDF, Matplotlib
  • Seaborn, Plotly, zipfile
  • PyPDF2, shutil, os, tqdm
  • Pillow, tkinter
  • VBA scripting:
  • Macros in CATIA, MS Office
  • NX VB Journal, and NET, C#
  • Advanced Excel:
  • VLOOKUP, HLOOKUP
  • INDEX-MATCH, Pivot Tables
  • Pivot Chart, Power Query
  • And advanced text functions
  • (TEXT, LEFT, MID, FIND, etc)
  • Logical functions (IF
  • IFERROR), and statistical
  • Functions (SUMIFS
  • COUNTIFS, AVERAGEIFS)
  • Power BI, Tableau

Accomplishments

  • I have worked on Python, Pandas, Numpy, SQL, Seaborn, Matplotlib, VBA(Macros), NX VB Journal
  • I have worked in Aerospace industry for 2.5 years on Project Management, Automation
  • Documentation, Cross Collaboration
  • I have hands-on proficiency on Pyspark, .NET
  • My ambition is to switch to IT field completely
  • 1
  • Time Series Analysis (S&P 500 Stock Market Case Study)
  • Brief: Analyzed historical stock data to observe price changes, calculate moving averages, study Apple's closing price trends, perform resampling, multivariate analysis for correlations, and assess stock relationships
  • Skills:
  • Data Analysis: Pandas, NumPy for time-series processing
  • Statistical Analysis: Correlation and resampling techniques
  • Visualization: Matplotlib, Seaborn for trend analysis
  • Programming: Python for data manipulation and analysis
  • Sales Data Analysis (E-Commerce Case Study)
  • Brief: Analyzed monthly sales trends, identified top-performing cities and products, examined sales trends of popular products, and analyzed products frequently sold together
  • Skills:
  • Data Aggregation: Pandas for grouping and filtering
  • Visualization: Seaborn, Plotly for comparative insights
  • Business Analysis: Identifying trends and patterns in sales data
  • Python Libraries: Itertools for co-occurrence analysis
  • Sentiment and Textual Analysis of YouTube Comments
  • Brief: Analyzed viewer sentiments and engagement on YouTube videos by examining comment data
  • Focused on sentiment polarity (positive/negative), frequent words, and emoji usage patterns
  • Skills Used:
  • Data Collection: Using YouTube Data API or web scraping tools
  • Text Preprocessing: Removing special characters, tokenization, and stop-word removal
  • Sentiment Analysis: Pre-trained models like TextBlob
  • Emoji Analysis: Extracting and analyzing emoji usage and sentiment patterns
  • Word Cloud Generation: Using Python libraries like WordCloud
  • Visualization: Matplotlib, Seaborn, or Power BI for interactive dashboards.

Work Preference

Work Type

Full Time

Location Preference

On-SiteRemoteHybrid

Timeline

SR. EXECUTIVE

Tata Advanced System Limited
08.2022 - Current

Master Of Technology - Manufacturing Engineering

Indian Institute of Technology

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