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Heet Dhandhukia

Heet Dhandhukia

Data professional with hands-on experience in SQL, Python, and large-scale data analysis

Talent
MumbaiMember since July 6, 2026
PythonPandasNumPyMatplotlibSQLOpen SQLMySQLGenerative AIMachine LearningStatistical AnalysisData CleaningPower BIReactNode.jsHugging FaceExcelABAP
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PythonPandasNumPyMatplotlibSQL

About

Data professional with hands-on experience in SQL, Python, and large-scale data analysis across enterprise and financial-data environments. Skilled at building end-to-end data pipelines — querying relational databases, cleaning and transforming high-volume transactional data, and delivering insights through dashboards and reports. Practical background in machine learning, EDA, and statistical analysis, with a strong interest in applying analytics to banking and financial decision-making.

Experience

Analyst - Deloitte India - Mumbai, India

(2025-07)

  • Contributed to GenW, an in-house Generative AI / LLM-based tool, working across the pipeline — preparing and structuring source data, building and iterating on prompts and retrieval logic, and evaluating model outputs for accuracy and reliability.
  • Analyzed LLM responses and data quality to identify failure patterns and drive improvements, turning raw outputs into actionable insights on tool performance.
  • Wrote and optimized SQL / Open SQL queries to extract, join, and process large enterprise datasets across client engagements, supporting integrations and automating backend data workflows.
  • Built data cleaning and transformation routines to handle high-volume transactional records, applying modular, reusable logic to improve data quality, consistency, and processing performance.
  • Performed debugging, performance tuning, and root-cause analysis using SQL traces and runtime analysis to diagnose data issues, resolve discrepancies, and improve pipeline reliability.

Risk Analyst Intern - PricewaterhouseCoopers (PwC) - Mumbai, India

(2025-01 - 2025-05)

  • Performed in-depth financial and operational risk analysis for an overseas engagement, identifying key exposure areas and supporting data-driven risk frameworks.
  • Executed quantitative data and risk analysis in Excel using advanced analytical functions to derive insights, evaluate exposure, and drive strategic decisions.
  • Prepared risk-assessment reports for stakeholders and collaborated cross-functionally to implement mitigation plans, improving project resilience and compliance.

Education

B.Tech - Data Science - NMIMS Mukesh Patel School of Technology Mgmt. & Engineering (2021 - 2025)

Class XII - Vidhya Niketan Junior College

Class X - Udayachal High School

Skills

Data professional with hands-on experience in SQLPythonand large-scale data analysis

Reviews

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