---
title: "Vindhya H V - Data Scientist in Bengaluru | Tal"
description: "Meet Vindhya H V, Data Scientist at Ericsson | Ex - WD [SanDisk] based in Bengaluru. AI stack includes claude code, github copilot, and kiro. Explore public work links including github and leetcode."
image: "https://tal.club/meet/vindhya-h-v/share-image"
---

# Vindhya H V on Tal

## Headline

Data Scientist at Ericsson \| Ex \- WD \[SanDisk\]

## About

Machine Learning and Data Science enthusiast working at Ericsson as Data Scientist

## Location

Bengaluru

## AI stack

claude code

github copilot

kiro

openai

githubcopilot

## Work experience

Data Scientist at Ericsson, Feb 2025 \- Present · 1 yr 10 mos, Bengaluru, Karnataka, India

Data Scientist 2 at Western Digital, Jul 2022 \- Mar 2025 · 2 yrs 9 mos, Bengaluru, Karnataka, India, 1\. Log Insights: Developed population analysis involving large datasets to uncover hidden patterns in the historic log data\. The project begins with accessing large amount of data from AWS S3, ensuring proper formatting and cleaning\. After pre\-processing, Clustering techniques, like k\-means, Anomaly detection using Isolation Forest are performed\. Finally, a detailed report is generated, summarising key insights, cluster characteristics, and visualisations, aiding decision\-making or further research\. Led the design and development of a dynamic dashboard using Next\.js, ensuring a seamless user experience\. Additionally, I contributed in monitoring models deployeed in Amazon EKS using Argo, Grafana & Splunk\. 2\. Drive Classification using ML algorithms: Conducted in depth exploratory data analysis on drive data derived from the laboratory to uncover patterns and trend\. Identified key features and characteristics indicative of drive health and performance through comprehensive statistical analysis\. worked on state\-of\-the\-art machine learning model, leveraging the XGBoost algorithm, for accurate drive classification\. Achieved successful implementation of the model, enabling classification of drives based on their health status

Machine Learning Engineer at Accenture, Jun 2021 \- Jul 2022 · 1 yr 2 mos, Bengaluru, Karnataka, India, Document Risk Prediction: worked on a robust document classification model that categorises certain contractual documents as either risky or non\-risky by leveraging NLP, cluster analysis, and logistic regression algorithms\. PCA \(Principal Component Analysis\) is applied to reduce dimensionality, helping to identify major trends\. Also developed a simplistic user interface to ensure a smooth user experience

Application Development Associate at Accenture, Aug 2019 \- May 2021 · 1 yr 10 mos, Bengaluru, Karnataka, India

## Education

Bachelor of Engineering \- BE, Electronics and Communications Engineering, Nmam Institute of Technology

## Public links

- github: https://github\.com/VindhyaHV
- leetcode: https://leetcode\.com/vindhyavijaya98

[View the original profile](https://tal.club/meet/vindhya-h-v)

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