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Shashwat KhareSK
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Shashwat Khare

@shashwatkhare

Data Analyst with 2+ years building Azure Databricks CRM analytics, predictive models, and RAG-powered BI.

India
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What I'm looking for

I’m seeking roles where analytical engineering meets product or commercial impact—building scalable Azure pipelines, BI dashboards, and LLM/RAG-driven analytics that improve decision-making efficiency.

I’m a Data Analyst with 2+ years at BUSINESSNEXT, delivering CRM analytics, predictive modeling, and GenAI-powered reporting solutions on Azure Databricks. I build end-to-end pipelines from raw SQL data to Power BI dashboards adopted by cross-functional teams.

In my current role, I automated data cleaning and feature engineering across 5M+ CRM records, cutting manual preprocessing time by 25% and improving model input quality for analytics products. I also run EDA/statistical analysis and deliver churn prediction, demand forecasting, and customer segmentation—handling ingestion, feature engineering, model selection, and dashboard delivery end-to-end.

I’m currently expanding into LLM-based data querying and RAG-driven business intelligence, blending prompt engineering, contextual search, and AI-assisted retrieval to make analytics more accessible. Previously, I owned SQL-based data quality checks (95% test coverage) and reduced client issue resolution time from 5 days to 1 day (80%) across 30+ monthly tickets.

Experience

Work history, roles, and key accomplishments

BU
Current

Junior Engineer - Data

BusinessNext

Apr 2025 - Present (1 year 2 months)

Automated data cleaning and feature engineering pipelines across 5M+ CRM records, reducing manual preprocessing time by 25% and improving downstream model input quality for 3 analytics products. Built end-to-end churn prediction, demand forecasting, and customer segmentation solutions, and deployed reusable PySpark/Spark SQL workflows on Azure Databricks to power BI report

BU

Graduate Engineer - Data

BusinessNext

Apr 2024 - Mar 2025 (11 months)

Performed data validation, ETL testing, and SQL-based data quality checks across reporting systems, achieving 95% test coverage and accurate analytics outputs. Developed SQL/Python diagnostic scripts that reduced average root-cause resolution time from 5 days to 1 day (80%) and improved user engagement by 20% via KPI dashboards using Power BI, Tableau, SQL, and Python.

Education

Degrees, certifications, and relevant coursework

GA

GL Bajaj Institute of Technology and Management (AKTU)

Bachelor of Technology, Information Technology

Grade: 7.5 CGPA

Completed a B.Tech in Information Technology from GL Bajaj Institute of Technology and Management (AKTU), graduating in May 2023 with a CGPA of 7.5.

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