Vandhana Murugan

Business Development Executive

Bengaluru, Karnataka, India4 yrs 5 mos experience

Key Highlights

  • Expert in leveraging TensorFlow and PyTorch for data insights.
  • Certified in Microsoft Azure, enhancing data model efficiency.
  • Strong background in AI and NLP techniques for analytics.
Stackforce AI infers this person is a Data Analyst with expertise in AI and Machine Learning.

Contact

Skills

Core Skills

Data AnalysisMachine Learning

Other Skills

AnacondaC (Programming Language)C++Cloud ComputingComputer VisionData AnalyticsData CleaningData CollectionData ManagementData MiningData ModelingData ProcessingData ScienceData StructuresData Visualization

About

With a Bachelor of Engineering from Sri Sairam College of Engineering, my role at NielsenIQ centered around leveraging TensorFlow and PyTorch to distill complex data into strategic insights. Our team’s efforts enabled the conversion of challenging datasets into viable business solutions, reflecting my dedication to driving organizational growth through data. Certified in Microsoft Azure,my technical skills were crucial in developing and testing innovative data models that bolstered business efficiency. My tenacity for continuous learning and applying cutting-edge AI and NLP techniques has solidified my competency as a vital asset in data analytics endeavors.

Experience

4 yrs 5 mos
Total Experience
2 yrs 6 mos
Average Tenure
1 yr 11 mos
Current Experience

Admax local

Data Analyst

Jul 2024Present · 1 yr 11 mos · Bengaluru, Karnataka, India · On-site

Career break

Relocation

Apr 2024Jun 2024 · 2 mos

Nielseniq

Data Analyst

Sep 2021Mar 2024 · 2 yrs 6 mos · Chennai, Tamil Nadu, India · On-site

TensorFlowPyTorchData AnalysisData ModelingMachine Learning

E-adda

Data Science Intern

Mar 2021Sep 2021 · 6 mos · bangalore · Remote

  • Utilized TensorFlow, an open-source machine learning framework, with Python for building and training the object detection model.
  • Employed Python as the primary programming language for implementing the TensorFlow model and conducting data analysis.
  • Leveraged machine learning techniques, particularly TensorFlow, for training the model for object detection.
  • Applied data analysis techniques to understand the characteristics of the dataset.
  • Utilized data visualization tools such as Matplotlib and Seaborn for visualizing data insights during the analysis phase.
TensorFlowPythonData AnalysisData VisualizationMatplotlibSeaborn+1

Education

PES University

Master of Technology - MTech — Data science and Artificial Intelligence

Oct 2024Mar 2026

Sri Sairam College of Engineering

Bachelor of Engineering - BE — Computer Programming

Jan 2017Jan 2021

St Francis PU College Koramangala

Pre University — Computer Science

Jun 2015May 2017

Presidency High School

SSLC

Jun 2014May 2015

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