---
title: "Akanksha Meshram - Data QA in Pune District | Tal"
description: "Meet Akanksha Meshram, Data Analyst | Power BI · SQL · Python | 4+ Yrs in Data QA, Insurance Analytics & AI-Assisted Pipelines | Open to Remote Roles based in Pune District."
image: "https://tal.club/meet/akanksha-14/share-image"
---

# Akanksha Meshram on Tal

## Headline

Data Analyst \| Power BI · SQL · Python \| 4\+ Yrs in Data QA, Insurance Analytics & AI\-Assisted Pipelines \| Open to Remote Roles

## About

I turn raw, messy data into decisions that move the needle\. With 4\+ years across data QA, insurance analytics, actuarial support, and business intelligence — at YipitData and EXL Services — I've built and validated data pipelines at scale, delivered Power BI dashboards relied on by actuarial and underwriting teams daily, and applied AI/LLM\-assisted workflows to accelerate data quality at speed\. What I bring to the table: ▸ Data validation & QA — end\-to\-end pipeline validation using Python, SQL, Regex, Kibana, and AI/LLM\-assisted classification tools ▸ Insurance & actuarial analytics — pricing rate indication, regulatory rate filing, premium impact and dislocation analysis using Radar WTW ▸ Power BI expertise — DAX measures, Power Query, star schema modelling, role\-based security, and executive dashboards ▸ Data annotation & NLP — NER tagging, intent classification, OCR correction with documented 95%\+ accuracy across projects ▸ PII compliance & data governance — detection, masking, and validation using Templatizer, AI Mask, and Full Mask toolsets I thrive in roles that demand both analytical rigour and cross\-functional collaboration — translating complex data findings into clear business decisions for actuarial, underwriting, operations, and product teams\. Currently open to remote or India\-based roles in: → Data Analytics / Business Intelligence → Data QA / Data Operations → Insurance / Actuarial Analytics → Data Annotation / AI Training 📩 akanksha\.meshram45@gmail\.com \| Pune, Maharashtra \| Open to relocate for the right opportunity

## Location

Pune District

## Work experience

Data QA at YipitData, Feb 2025 \- Present · 1 yr 5 mos, Bengaluru, Karnataka, India, Led end\-to\-end validation of email receipt ingestion and transaction data pipelines \(Edison E\-Receipt & SpendHound\), processing 500K\+ daily records with maintained data accuracy standards for downstream analytics teams\. ▸ Reduced pipeline defect reopen rate by 30%\+ through structured root cause analysis and post\-fix rerun validation across ingestion failures, email drops, and vendor/product match confidence checks\. ▸ Applied AI/LLM\-assisted workflows — including Generative AI classification, Regex, Templatizer, AI Mask, and Full Mask — to accelerate PII detection, data classification, and compliance validation at scale\. ▸ Built and monitored real\-time data quality dashboards in Power BI and Kibana, surfacing anomalous trends and ingestion failures to engineering and analytics stakeholders within 24\-hour SLA windows\. ▸ Managed defect lifecycle in Jira — logging, triaging, and coordinating resolution with AI \+ human review teams — improving SaaS spend reporting accuracy and data integrity across client deliverables\. ▸ Collaborated with cross\-functional teams to reconcile SpendHound spend insights, reducing misclassified vendor records by 20%\+ through iterative data correction workflows\. Tools: Python · SQL · Power BI · Kibana · Jira · Templatizer · Regex · Generative AI · Excel

Business Analyst at EXL, Dec 2022 \- Jan 2025 · 2 yrs 2 mos, Pune District, Maharashtra, India, Supported actuarial pricing, regulatory rate filing, and implementation for Residential, Recreational, and Personal Auto insurance product lines across multiple US carrier clients\. ▸ Executed insurance pricing revisions using Radar WTW models — delivering rate adequacy improvements and loss ratio optimisation across 3 product lines, directly influencing underwriting strategy decisions\. ▸ Prepared and validated large\-scale datasets via Cognos and Excel; performed premium impact, dislocation, and distribution analysis comparing legacy vs revised rate structures for actuarial sign\-off\. ▸ Developed 8\+ Power BI dashboards \(DAX, Power Query, star schema, RLS\) for actuarial, underwriting, and business leadership — enabling self\-serve reporting and reducing ad hoc data requests by 40%\. ▸ Applied Generative AI–assisted NLP classification to enhance claims description categorisation, fault attribution, and driver behavioural risk segmentation — improving model input quality for pricing decisions\. ▸ Partnered with actuarial teams to produce regulatory rate filing submissions, ensuring compliance with carrier and state requirements across multiple jurisdictions\. ▸ Presented data\-driven pricing insights to senior stakeholders — translating complex actuarial outputs into actionable business recommendations for underwriting and product teams\. Tools: Radar WTW · Power BI · Python · SQL · Excel · Cognos · DAX · Power Query · Generative AI

Data Annotation Engineer at Systems Plus Transformations, Feb 2021 \- Feb 2022 · 1 yr 1 mo, Pune District, Maharashtra, India, Performed structured data annotation across NLP, NER, intent classification, and OCR correction tasks to train and validate machine learning models for enterprise AI applications\. ▸ Maintained 95%\+ annotation accuracy across NER tagging, intent classification, and OCR correction tasks — consistently exceeding quality benchmarks across project deliverables\. ▸ Annotated and validated thousands of text records daily using structured guidelines, contributing to high\-quality training datasets for production NLP models\. ▸ Applied domain knowledge to resolve edge cases in entity recognition and intent labelling, ensuring consistency and reliability of annotated outputs for downstream model training\. ▸ Collaborated with QA leads to review annotation quality, flag ambiguities, and iterate on labelling guidelines — improving inter\-annotator agreement on complex classification tasks\. Tools: NER · NLP · Intent Classification · OCR · Data Annotation · Excel · Quality Assurance

## Education

Bachelor of Engineering \- BE, Mechanical Engineering, Dr\. Babasaheb Ambedkar Marathwada University, Aurangabad

diploma in mechanical engineering, Mechanical Engineering Related Technologies/Technicians, Government Polytechnic college

[View the original profile](https://tal.club/meet/akanksha-14)

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