Professional Experience

A progression from hands-on data analysis and AI model evaluation to professional data and technology training at Accenture.

Associate Software Engineer

Accenture

Jul 2026 - Present

Ahmedabad, Gujarat, India

Professional learning and technical training in SQL, data visualization, Data & AI, and Databricks through hands-on exercises and technical assessments.

  • •Built hands-on experience with SQL, data visualization, and Databricks using real-world datasets and data-processing exercises.
  • •Applied data-processing and analysis concepts through structured professional learning and technical assessments.
SQLData VisualizationDatabricksData & AI

LLM Post-Training Intern (Data Analytics and Model Evaluation)

Ethara AI

Feb 2026 - Apr 2026

Gurugram, India

Worked on data validation, output evaluation, failure-pattern analysis, and iterative model improvement as part of a post-training workflow.

  • •Evaluated 300+ model outputs across accuracy, instruction following, verbosity, and overall quality to identify failure patterns and support model improvement.
  • •Improved model performance to 95%+ accuracy through training-data validation and testing across known and unseen datasets.
  • •Improved model effectiveness from 40% to 72% through comparative evaluation and failure-pattern analysis across multiple project types.
  • •Scaled daily evaluation output from 20 to 50 tasks, supporting faster iteration cycles.
Data AnalysisModel EvaluationPythonQuality Analysis

Data Analyst Intern

UnicornPost

Nov 2023 - Apr 2024

Noida, India

Analyzed operational data to identify delivery bottlenecks and support reporting across order workflows.

  • •Analyzed 5,000+ orders across delivery timelines, costs, and operational issues using MySQL, Python, Excel, and Power BI.
  • •Built KPI dashboards and automated analysis workflows, contributing to a 20% improvement in the delivery/order workflow.
MySQLPythonPower BIExcel

What I Bring

Practical strengths built across analytics, model evaluation, and business reporting.

Data Analysis

SQL and Python analysis across datasets ranging from operational orders to 55,554 financial transactions.

Data Visualization

Power BI, Tableau, Excel, and Python visualization for communicating patterns and business findings.

Quality & Evaluation

Structured validation, output evaluation, failure analysis, and clear documentation of findings.