Vidya Naina
Data Scientist at Syntax | Hyderabad, Telangana, India
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Vidya Naina is a seasoned Data Scientist at Syntax, where she leverages her expertise in data analysis and machine learning to drive impactful insights across various application domains. With a strong foundation in scientific methods and algorithms, Vidya excels in extracting actionable knowledge from both structured and unstructured data. Her proficiency in visualization tools, particularly Microsoft Power BI, enables her to present complex data narratives in a clear and compelling manner, making her insights accessible to stakeholders at all levels of the organization.
Currently, Vidya is spearheading key projects that involve the integration of large language models (LLMs) to enhance predictive analytics capabilities within IT services. By employing advanced data mining techniques, she is able to uncover hidden patterns and trends that inform decision-making processes and optimize operational efficiencies. Additionally, her experience with Microsoft Power Automate and robotic process automation (RPA) allows her to streamline workflows, further enhancing productivity across teams.
Vidya's ability to communicate complex analytical methods and results effectively is one of her standout soft skills. She bridges the gap between technical data science and business strategy, ensuring that insights translate into actionable business solutions. As a ServiceNow administrator, she also contributes to the development of data-driven applications that improve service delivery and customer satisfaction. With a comprehensive skill set that includes analytics, machine learning, and dataset management, Vidya Naina is a vital asset to Syntax, driving innovation and excellence in data science initiatives.
Data Scientist at Syntax in November 2020 to Present
Process Engineer at Cyient in June 2013 to July 2018
Senior Data Analyst at Cyient in October 2010 to January 2013
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Jawaharlal Nehru Technological University, Kakinada, M.Tech in Embedded Systems
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Power BI Expertise
Power BI Desktop
DAX (Data Analysis Expressions)
Power BI Service (Cloud)
Data Handling & ETL
Power Query (ETL tool within Power BI)
Data source connections
Knowledge of data types
Business Intelligence & Domain Knowledge
Understanding KPIs, metrics, and business goals
Storytelling with data
Integration & Automation
Power Automate
Row-Level Security (RLS)
Embedding Power BI in apps/web portals
Soft Skills
Requirements Gathering
collabration
Presentation and communication
Performance Analysis
ServiceNow Dashboards
Report Designer
Indicators & Data Collection Jobs
ServiceNow Tables and CMDB
ITSM / ITOM / Change Management knowledge
Stakeholder Management
Information Technology
Amazon Web Services (AWS)
Prompt Engineering
Retrieval-Augmented Generation (RAG)
Neuro-Linguistic Programming (NLP)
PySpark
Azure Databricks
Consumer Behavior
Customer Relationship Management (CRM)
Databases
Problem Solving
Machine Tools
Apache Spark
Extract, Transform, Load (ETL)
Real World Evidence (RWE)
Linear Algebra
Applied Machine Learning
Decision Trees
Mathematics
Customer Analysis
Data Engineering
Data Collection
Data Mining
Tableau
Software Development
Business Communications
Transformers
Business Analytics
Generative AI Tools
Large-scale Data Analysis
Data Architecture
Data Management
Analytical Skills
Statistical Modeling
Data Analytics
Exploratory Data Analysis
Data Analysis
R (Programming Language)
Communication
Large Language Models (LLM)
Presentations
Generative AI
IT Services
Computer Science
Analytics
Predictive Modeling
Data Modeling
Statistics
Microsoft Power Automate
Dashboards
Business Intelligence (BI)
Visualization
Statistical Analysis
Statistical Data Analysis
Programming
Datasets
Predictive Analytics
Machine Learning Algorithms
Story
Data Visualization
Data Science
Microsoft Power Apps
Natural Language Processing (NLP)
ServiceNow Administration
Python
Python (Programming Language)
Big Data
Deep Learning
Artificial Intelligence (AI)
Machine Learning
Hadoop
Microsoft Power BI
Flask
ServiceNow
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Discover more about SyntaxWhat is Vidya Naina email address?
Email Vidya Naina at [email protected] and [email protected]. This email is the most updated Vidya Naina's email found in 2026.
How to contact Vidya Naina?
To contact Vidya Naina send an email to [email protected] or [email protected]. (updated on August 09, 2024)
What company does Vidya Naina work for?
Vidya Naina works for Syntax
What is Vidya Naina's role at Syntax?
Vidya Naina is Data Scientist
What is Vidya Naina's Phone Number?
Vidya Naina's phone (**) *** *** 634
What industry does Vidya Naina work in?
Vidya Naina works in the Information Technology & Services industry.
Vidya Naina Email Addresses
Vidya Naina Phone Numbers
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