---
title: "Rishita Gagrani - Data Scientist in Bhilwara | Tal"
description: "Meet Rishita Gagrani, Engineering @Ericsson | Ex- Jio | SIH’23 Winner | 4x Hack Winner | AI/ML | VIT’25 based in Bhilwara. AI stack includes antigravity, codex, and gemini."
image: "https://tal.club/meet/rishita-gagrani/share-image"
---

# Rishita Gagrani on Tal

## Headline

Engineering @Ericsson \| Ex\- Jio \| SIH’23 Winner \| 4x Hack Winner \| AI/ML \| VIT’25

## About

I’m a Data Scientist at Ericsson, focused on solving business problems using AI and structured, data\-driven thinking\. My work involves translating ambiguous challenges into clear problem statements and building scalable solutions, particularly in NLP and Machine Learning\. I work closely with cross\-functional teams and domain experts to ensure solutions are practical, reliable, and aligned with business objectives\. I’m interested in the intersection of analytics and decision\-making—where data is used not just to build models, but to drive real impact\. Currently pursuing CFA Level 1 to strengthen my understanding of financial and strategic decision\-making\.

## Location

Bhilwara

## AI stack

antigravity

codex

gemini

github copilot

hugging face

mcp

## Work experience

Data Scientist at Ericsson, Aug 2025 \- Present · 1 yr 3 mos, • Optimized a Vertex AI \(Gemini\)\-based language translation pipeline for Thai telecom CRM data, reducing API token costs by 80% via multi\-comment batching, cross\-batch caching, and rate\-limit\-aware concurrency; deployed LLM\-powered root\-cause analysis workflows for natural\-language querying of alarm data, cutting triage time by 50%\. • Designed NLP\-enabled retrieval pipelines over telecom alarm logs and built a battery\-backup failure prediction model with 98% precision, reducing site\-down incidents; engineered end\-to\-end data pipelines from network nodes to a datalake using Python and SQL, scaling analytics across 50K\+ sites\. • Implemented statistical anomaly detection across 100\+ KPIs, automating signal extraction and reducing manual monitoring effort by 90%\.

Data Science Intern at Ericsson, Feb 2025 \- Aug 2025 · 7 mos, Noida, • Built an intelligent monitoring system for network KPIs to enable automated anomaly detection and analysis • Developed pipelines to ingest and integrate data from multiple sources into a centralized data lake • Applied data\-driven approaches to improve visibility and efficiency in network performance monitoring

Product Designer at VALSCO TECHNOLOGY, Sep 2023 \- Dec 2023 · 4 mos, Vellore, Tamil Nadu, India, Designed UI/UX for an AI\-powered chatbot interface using Figma and revamped the case type selection interface using TypeScript to enhance user navigation and improve task completion\.

Machine Learning Intern at Jio Platforms Limited \(JPL\), Sep 2023 \- Nov 2023 · 3 mos, Navi Mumbai, • Analyzed 5M\+ customer\-support interactions using NLP classification and topic modelling \(BERTopic, LDA\) to surface recurring pain points; insights directly informed product\-roadmap priorities\. • Improved distributed ETL performance across 10\+ heterogeneous sources by 60% through vectorized transformations and SQL query optimization; evaluated classification models and delivered segment\-level EDA for product stakeholders\.

Project Intern at The University of Auckland, Jun 2023 \- Aug 2023 · 3 mos, Auckland, New Zealand, • Enhanced location entity recognition and extraction by integrating geospatial data\. • Fine\-tuned the existing model for the extraction of location entities using sequence labeling approaches\.

## Education

Bachelor of Technology \- BTech, Computer Science and Engineering, Vellore Institute of Technology

Central Academy Schools

[View the original profile](https://tal.club/meet/rishita-gagrani)

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