SHAHEADA SHAIK
Andhra Pradesh
Summary
Data-driven professional with over 2.5 years in telecom R&D, specializing in data analytics and engineering. Proven ability to transform complex network protocol data into structured formats and automate test validations. Skilled in Python, SQL, Pandas, and data visualization tools, with a strong focus on data cleaning and feature extraction. Committed to utilizing data insights to enhance systems and support informed decision-making in dynamic environments.
Overview
3
3
years of professional experience
1
1
Certification
Work History
Software Developer
NextGen R&D
Hyderabad
01.2024 - Current
- Engineered a Python-based parser to automate extraction of RRC and NGAP ASN.1 hex messages from gNodeB simulation logs involving multi-UE attach scenarios.
- Mapped each message type (e.g., MIB, SIB1, RRCSetup) to its ASN.1 structure and built dynamic decoding workflows using asn1tools, accelerating trace interpretation.
- Automated end-to-end decoding of encoded telecom messages into readable format, enhancing efficiency in protocol validation and debugging for the 5G stack.
- Reduced manual effort by 50%+ in test log analysis and improved cross-team collaboration by standardizing decoded message reporting.
Software Engineer | 5G NR UE Radio Processing L2 S
Tata Consultancy Services
Hyderabad
08.2022 - 11.2023
- Designed and developed simulation features in NURPL2 for RLC and MAC layer emulation in 5G UE environment on x86 Linux servers.
- Built logic to parse and process RRC messages, enabling real-time BWP switching for mobility scenarios.
- Implemented structured handling and configuration storage for UE-level BWP profiles based on DCI triggers.
- Developed internal data structures to track UE context and signal behavior, ensuring accurate simulation output.
- Contributed to unit testing and CI loop debugging, enhancing reliability and automation of simulation pipelines.
- Acquired expertise in telecom message flows, MAC/RLC layers, and system-level configuration logic for data processing workflows.
Education
Bachelor of Technology - Electrical Engineering
Vignan’s Foundation for Research and Technology
Andhrapradesh, India08.2022
Skills
- Python
- Advanced SQL
- Pandas
- Numpy
- Scikit-Learn
- Nltk
- Matplotlib
- Streamlit
- Seaborn
- Power BI
- Advanced Excel
- Tableau
- MySQL
- SQLite
- Pycharm
- Jupyter Notebook
- Visual Studio Code
- IntelliJ IDEA
- Heroku
- Git
- Docker
- Eclipse
- GDB
- Rapport Building
- Stakeholder Management
- People Management
- Communication
Certification
- Machine Learning, Stanford University – Coursera, 03/01/22, 96.47%
- Job Bootcamp – Data Analytics, Coding Ninjas, 05/01/24, 02/28/26, Completed a comprehensive 9-month online bootcamp focused on real-world data analytics tools and methodologies.
- Linguaskill tests by Cambridge University, London, B1 Business Preliminary (PET), 155, B, B1, 2020, B2 Business Vantage (BEC), 162, C, B2, 2021
Projects
Stock Market Crash Detection & Risk Signal Modelling, Python, Pandas, Matplotlib, Seaborn, https://github.com/ShaheadaShaik/SHA_97/blob/master/Stock_Market_Analysis.ipynb, Engineered a data-driven framework to analyse three decades of BSE Sensex historical data, targeting early detection of market crash signals and systemic stress periods. End-to-End Sports Analytics: T20 World Cup 2022 – Optimal XI Model for Hypothetical Match Simulation, Pandas, Bright Data (Web Scraping), Power BI, ESPNcricinfo API, https://drive.google.com/file/d/1I0HzH0TKAMSGxNldEp71qNSt7wZXaBmC/view?usp=sharing, Engineered a full-stack data analytics workflow by sourcing real-time T20 World Cup 2022 data via web scraping from ESPNcricinfo using Bright Data. Bias Crime Analytics Dashboard – Web-Scraped Hate Crime Data Visualization, Power BI, Python, Pandas, Web Scraping, https://drive.google.com/file/d/12pQYCGlFGzDJX43GjEFyszRIbciTWZHa/view?usp=sharing, Developed a data visualization solution to analyze and present hate crime trends across demographics and geographies. Movie Recommendation Engine, Pandas, Numpy, Scikit-learn, Nltk, Streamlit, Pycharm, Jupyter, Heroku, https://github.com/ShaheadaShaik/Movie_DA, Designed and developed a hybrid movie recommendation system using collaborative filtering and content-based filtering to generate personalized film suggestions based on user preferences and metadata. Olympics Data Analysis Web Application, Python, Pandas, Seaborn, Plotly, Streamlit, Heroku, https://github.com/ShaheadaShaik/Olympic_DA, Developed a dynamic data analysis web application using Streamlit to explore and visualize historical Olympics data.
Timeline
Software Developer
NextGen R&D
01.2024 - Current
Software Engineer | 5G NR UE Radio Processing L2 S
Tata Consultancy Services
08.2022 - 11.2023
Bachelor of Technology - Electrical Engineering
Vignan’s Foundation for Research and Technology
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