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Vinita Silaparasetty

Chief Data Scientist at Trendwise Analytics

Bangalore, India

With over 9 years of industry experience, I have delivered 50+ training programs (online and offline), trained over 16,566+ learners(through live and pre-recorded sessions), and conducted 100+ hours of hands-on AI workshops for businesses across industries. My approach is practical, business-focused, and highly engaging, incorporating real-world case studies, gamified exercises, and live AI tool demonstrations. Whether you're looking for a seasoned AI instructor for your next corporate program or a consultant to help businesses integrate AI into their workflows, I provide high-impact, customized solutions.

Available For: Advising, Authoring, Consulting, Influencing, Speaking
Travels From: India
Speaking Topics: Agentic AI,Generative AI, Machine Learning, AI

Vinita Silaparasetty Points
Academic 0
Author 73
Influencer 15
Speaker 0
Entrepreneur 0
Total 88

Points based upon Thinkers360 patent-pending algorithm.

Thought Leader Profile

Portfolio Mix

Company Information

Company Type: Service Provider
Business Unit: Technology
Theatre: India
Minimum Project Size: $50,000+
Average Hourly Rate: $300+
Number of Employees: 1-10
Company Founded Date: 2016
Media Experience: 7
Last Media Training: 08/31/2023
Last Media Interview: 02/17/2024

Areas of Expertise

Agentic AI
AI 30.90
Analytics 33.10
Careers
Cloud 30.33
Coaching
EdTech
Education
Entrepreneurship
Generative AI 30.12
Innovation
IT Leadership
Leadership
Predictive Analytics 30.78
Quantum Computing

Industry Experience

Financial Services & Banking
Higher Education & Research
Professional Services
Telecommunications

Publications

12 Article/Blogs
Store Layout Optimization using AWS
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January 30, 2025
Optimal layout process involves allocating space and arranging equipment and other physical assets in such a way that the operating costs are minimized and process efficiencies are maximized. At the micro level (within a department) layout changes can and should be made as and when a need arises. S

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Tags: AI, Analytics, Cloud

Product Return Prediction using AWS
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January 21, 2025
Predicting Product Returns in Online Retail. A successful and practical strategy should focus on identifying consumption patterns associated with a very. high return rate before the transaction even takes place. To date there is no such strategy in the academic. literature. Step 1: Define the Prob

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Tags: AI, Analytics, Cloud

Cart Abandonment Prediction using AWS
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January 01, 2025
The cart abandonment rate shows how many of the items that are added to the shopping cart are abandoned. It is calculated by dividing the total number of completed transactions by the total number of transactions that were initiated. Step 1: Define the Problem Objective: Predict whether a user will

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Tags: AI, Analytics, Cloud

Website Personalization using AWS
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December 30, 2024
Website personalization is a marketing strategy that creates a customized experience for each visitor to a website. The goal is to provide a relevant and tailored experience that makes visitors feel valued and increases the likelihood of conversion. Step 1: Define the Problem Objective: Use machin

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Tags: AI, Analytics, Cloud

Budget Allocation Optimization and AWS
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December 21, 2024
An investment decision (budget allocation) relating to media is a typical economic optimization problem, which is simple in terms of the basic idea. Assuming given means, the return should be maximized by distributing the budget between action alternatives. Budget Allocation Optimization System usi

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Tags: AI, Analytics, Cloud

Rosetta Code:99 bottles of beer
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December 05, 2024
Systematic Decrementing Rosetta Code is a website that shows how to solve the same problems in different programming languages. It demonstrates the variety of approaches and programming styles available. The problem we will cover in this post is called the 99 bottles of beer. Task Display the comple

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Tags: AI, Analytics, Cloud

Financial Anomaly Detection using AWS
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December 01, 2024
Financial anomaly detection refers to the process of identifying unusual patterns or transactions within financial data that deviate significantly from expected norms, often signifying potential fraudulent activity, errors, or other irregularities, allowing institutions to proactively monitor and fl

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Tags: AI, Analytics, Cloud

Stock Level Optimization using AWS
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November 30, 2024
“Stock level optimization,” also called inventory optimization, is the practice of strategically managing and controlling the amount of stock a business holds to ensure they have the right products available to meet customer demand while minimizing storage costs and preventing overstock

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Tags: AI, Analytics, Cloud

Cost Optimization using AWS
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November 21, 2024
Cost optimization is a business practice that aims to reduce costs while increasing business value. It involves identifying areas where money is being wasted, finding more cost-effective alternatives, and using resources more efficiently. Architecture Overview This solution uses the following AWS

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Tags: AI, Analytics, Cloud

Revenue Leakage Detection using AWS
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November 01, 2024
“Revenue leakage detection” refers to the process of actively identifying and addressing potential issues within a business that could lead to lost revenue, by analyzing data to pinpoint areas where income is not being fully captured due to errors, inefficiencies, or system discrepancies

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Tags: AI, Analytics, Cloud

Fraud Detection Using Machine Learning
Medium
February 25, 2024
This explores the strategies employed by data scientists, unveiling the hidden patterns and connections that expose fraudulent transactions. By using clear analogies and practical code examples, we’ll break down various techniques like anomaly detection, clustering, association rule learning, link analysis, and rule-based systems to build a robust and multifaceted defense against fraudsters.

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Tags: Generative AI

Prompt Engineering using Open AI
Medium
September 01, 2023
Prompt engineering requires specific instructions and a creative approach to generate prompts that guide large language models towards the required outputs.

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Tags: Generative AI

1 Author Newsletter
Beginner's Guide to Using a Data Dictionary
LinkedIn
February 27, 2024
A Data Dictionary, also called a Data Definition Matrix, provides key information about business data. It explains data elements or attributes such as the number of features, number of rows, data types, cardinality of features, and modes of data collection and more in a business focused way.

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Tags: Generative AI

1 Book
Deep Learning Projects Using TensorFlow 2 Neural Network Development with Python and Keras
Apress Berkeley, CA
July 24, 2020
Work through engaging and practical deep learning projects using TensorFlow 2.0. Using a hands-on approach, the projects in this book will lead new programmers through the basics into developing practical deep learning applications.
Deep learning is quickly integrating itself into the technology landscape. Its applications range from applicable data science to deep fakes and so much more. It is crucial for aspiring data scientists or those who want to enter the field of AI to understand deep learning concepts.
The best way to learn is by doing. You'll develop a working knowledge of not only TensorFlow, but also related technologies such as Python and Keras. You'll also work with Neural Networks and other deep learning concepts. By the end of the book, you'll have a collection of unique projects that you can add to your GitHub profiles and expand on for professional application.

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Tags: AI, Analytics, Predictive Analytics

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