Data Analyst

SREENIDHI KOMMINENI

Dallas, USA ***** - 214-***-**** - *******************@*****.*** - www.linkedin.com/in/sreenidhi-kommineni Summary

Analytical and detail-oriented professional with workflow optimization, error analysis, and business intelligence expertise. Skilled in identifying process inefficiencies, conducting statistical analysis, and providing data-driven solutions. Strong problem-solving abilities, communication skills, and the ability to work independently while collaborating with teams. Adept at learning from documentation, researching system functionality, and presenting insights to senior management. Technical Skills

• Programming and Data Engineering: Python, R, SQL, Data Pipelines, Automation

• Data Analysis and Business Insights: Pandas, NumPy, MySQL, Focus Analyzer, MS PowerPoint Automation,

Data Mining, Excel

• Data Visualization and Reporting: Tableau, PowerBI, Matplotlib, Seaborn, Folium, FastKML, KML, Base64, PIL, ImageDraw

• Business Strategy & Management: Project Management, Business Development, Process Optimization, Decision- Making

• Geospatial & Network Analysis: FastKML, KML,

LXML, ETREE, Folium, Google Earth, LTE, 5G, Network KPIs, Coverage & Performance Mapping

• Cloud and Big Data Processing: AWS (Cloud

Foundations, Developing), Data Cleaning, Large Dataset Processing (12 GB+)

• Others: TensorFlow, Keras, Scala & Spark framework, Stakeholder Engagement, Client Communication, Team Building, Strategic Planning,

Experience

Data Analyst & Reporting Engineer, Spirent Communications Frederick, MD 03/2024 to 02/2025

• Automated 40% of Verizon Benchmarking workflows, reducing manual reporting efforts by 30%, and improving report generation time by 50% through Python-based automation

• Processed and analyzed over 12TB of telecom data from Verizon, AT&T, and T-Mobile, working with scanner and device data files exceeding 12GB each to extract key network performance insights

• Developed custom geospatial analytics tools, generating over 50 demand and market-specific KML/KMZ files, over 5000 MB, for network coverage and performance mapping in Google Earth.

• Optimized data pipelines, reducing data processing time by 60%, leveraging Python (pandas, numpy, fastkml, lxml, etree)

• Built automated PowerPoint reporting solutions, cutting down manual effort by 50%, and ensuring fast and accurate delivery of benchmarking insights

• Designed and deployed interactive network performance dashboards using Power BI, Tableau, and Python visualizations, improving client decision-making efficiency by 40%

• Enhanced geospatial mapping with Folium, FastKML, and Google Earth, enabling clear visualization of LTE and 5G NR network KPIs across 50+ U.S. markets.

• Collaborated with cross-functional teams, integrating telecom benchmarking insights with FocusAnalyzer for precise network performance assessments

• Led KPI analysis for LTE and 5G NR networks, focusing on coverage, throughput, latency, and signal strength, contributing to improved carrier benchmarking accuracy

• Analyzed large datasets to address strategic and operational business questions Visualization Analyst, Bayer NJ 09/2023 to 12/2023

• Deconstructed 1M+ customer behaviors, crafted website personas, and delivered a consolidated dataset to support marketing strategies.

• Utilized advanced data mining and analysis techniques in Python, Power BI, and Tableau to validate classifications and explore customer affinity, enabling targeted advertising for specific medicine brands. Education

New Jersey Institute Of Technology, Newark, NJ G. Narayanamma Institute Of Technology, Hyderabad, India MS: Data Science GPA: 3.64 12/2023 B-Tech: Electrical and Electronics Engineering 01/2022 Certifications

Databricks Certified Data Analyst Associate, 2025 AWS Academy Cloud Developing, 2023 AWS Academy Cloud Foundations, 2023 IBM Skills Build - Getting started with Enterprise AI, 2023

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