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Krupa Parmar

Turning raw data into decisions | SQL · Python · Power BI · Tableau | 25% accuracy gains, 30% faster reporting | Open to remote roles

Ahmedabad

2+ years of work experience

Native Engineering
Oct 20253 mosDec 2025

Noida, Uttar Pradesh, India

- Built SQL and Python analytics pipelines processing 200K+ records, cutting manual processing time by 30% and freeing analyst bandwidth for higher-value work. - Improved reporting accuracy by 25% by designing automated data validation frameworks and pipeline quality checks integrated directly into the ETL workflow. - Designed and deployed Tableau dashboards tracking KPIs, growth metrics, and operational performance — adopted as the primary reporting layer for cross-functional stakeholders. - Engineered end-to-end ETL automation pipelines with structured documentation frameworks, standardised as the official handoff process across the analytics function. - Collaborated with business stakeholders to define reporting requirements, translating complex data outputs into weekly KPI dashboards accessible to non-technical decision-makers. Tools: SQL · Python (Pandas, NumPy) · Tableau · Git · ETL
McDonald's
Jan 20241 yr 2 mosFeb 2025

Edmonton, Alberta, Canada

- Relocated to Canada; operated in a fast-paced, multicultural, cross-time zone environment — adapting to international workplace standards and communication norms. - Maintained 100% data accuracy processing 40+ transactions/hour, supporting POS data integrity and financial reporting. - Identified peak-hour service bottlenecks through transaction trend analysis, contributing to a 15% reduction in customer wait times. Tools: POS Systems · Excel · Data Reporting
Acespritech Solutions Pvt Ltd
Dec 20223 mosFeb 2023

Ahmedabad, Gujarat, India

- Led end-to-end Power BI dashboard delivery for a 5-member analytics team, owning the full project lifecycle from requirements gathering and EDA through to stakeholder reporting. - Reduced version-control errors by 30% and improved team collaboration productivity by 25% by designing and implementing SharePoint-based workflow automation. - Engineered PowerShell scripts to retrieve Power BI metadata with 95% retrieval efficiency, eliminating hours of manual tracking overhead per sprint. - Standardised recurring workflow documentation and reporting templates across the analytics function, reducing onboarding time and improving process consistency for new team members. - Performed EDA across 5+ business domains, surfacing actionable insights that directly informed dashboard design decisions. Tools: Power BI · PowerShell · SharePoint · SQL · Python
AutoDAP (A Gateway Group Company)
Jan 20211 yr 1 moJan 2022

Ahmedabad, Gujarat, India

- Managed large-scale data validation workflows across a 12-member team, maintaining 90%+ accuracy under strict operational deadlines. - Reduced team workload by 75% by redesigning data-processing workflows and automating repetitive validation steps, enabling higher data volumes without additional headcount. - Conducted structured data audits and error-correction cycles, reducing data entry errors by 20% and improving reporting reliability. - Implemented validation frameworks that standardised input quality across the team, cutting rework cycles by 40%. Tools: Excel · SQL · Data Validation Frameworks

Education

Conestoga College

Postgraduate Degree, Computer Engineering

Conestoga College

20232023
Gujarat Technological University (GTU)

Master of Engineering, Computer Science

Gujarat Technological University (GTU)

20182 yrs2020

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Headline

Turning raw data into decisions | SQL · Python · Power BI · Tableau | 25% accuracy gains, 30% faster reporting | Open to remote roles

About

𝐈 𝐭𝐮𝐫𝐧 𝐜𝐨𝐦𝐩𝐥𝐞𝐱 𝐝𝐚𝐭𝐚 𝐢𝐧𝐭𝐨 𝐜𝐥𝐞𝐚𝐫, 𝐚𝐜𝐭𝐢𝐨𝐧𝐚𝐛𝐥𝐞 𝐢𝐧𝐬𝐢𝐠𝐡𝐭𝐬. Hi, I’m Krupa Ashoksinh Parmar. I've helped teams cut manual reporting by 30% and improve data accuracy by 25% — by building the pipelines and dashboards that make it possible. I’m a data analyst who loves turning messy data into meaningful decisions. Whether it’s analysing 200K+ records, building KPI dashboards, or designing scalable data pipelines, I enjoy finding the story behind the numbers and helping teams act on it. 𝐖𝐡𝐚𝐭 𝐈 𝐃𝐨 I help businesses understand their data through: - SQL & Python analytics for deep insights - Power BI & Tableau dashboards for clear decision-making - KPI reporting & automation to reduce manual work - Big Data pipelines for scalable analytics - Machine learning projects & AI/prompt-engineering exposure I’ve worked across customer analytics, operations analytics, and financial dashboards, always focused on improving accuracy, efficiency, and outcomes. 𝐈𝐦𝐩𝐚𝐜𝐭 𝐈’𝐯𝐞 𝐃𝐞𝐥𝐢𝐯𝐞𝐫𝐞𝐝 - Analysed 200K+ records to improve reporting accuracy by 25% - Reduced manual reporting effort by 30% through automation - Identified 18% unmet demand in analytics projects - Built interactive dashboards used by leadership for decision-making - Improved wait times and operational efficiency using service-time data insights Numbers matter, but real impact comes when insights drive action. That’s what excites me most. 𝐌𝐲 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬 𝐓𝐨𝐨𝐥𝐤𝐢𝐭 Languages: SQL, Python, R Visualization: Tableau, Power BI, Excel Big Data: Kafka, Spark SQL, HDFS, ETL Databases: MySQL, PostgreSQL, MongoDB Analytics: EDA, predictive modeling, KPI optimization, data storytelling 𝐁𝐞𝐲𝐨𝐧𝐝 𝐭𝐡𝐞 𝐃𝐚𝐬𝐡𝐛𝐨𝐚𝐫𝐝 I bring strong stakeholder communication, business understanding, and curiosity to every project. I’m passionate about building scalable analytics solutions and continuously learning new AI and machine learning techniques. Currently open to opportunities where I can contribute to data-driven growth and innovation. Let’s connect if you love solving problems with data too!

Location

Ahmedabad

Work experience

Data Analyst at Native Engineering, Oct 2025 - Dec 2025 · 3 mos, Noida, Uttar Pradesh, India, - Built SQL and Python analytics pipelines processing 200K+ records, cutting manual processing time by 30% and freeing analyst bandwidth for higher-value work. - Improved reporting accuracy by 25% by designing automated data validation frameworks and pipeline quality checks integrated directly into the ETL workflow. - Designed and deployed Tableau dashboards tracking KPIs, growth metrics, and operational performance — adopted as the primary reporting layer for cross-functional stakeholders. - Engineered end-to-end ETL automation pipelines with structured documentation frameworks, standardised as the official handoff process across the analytics function. - Collaborated with business stakeholders to define reporting requirements, translating complex data outputs into weekly KPI dashboards accessible to non-technical decision-makers. Tools: SQL · Python (Pandas, NumPy) · Tableau · Git · ETL

Customer Service Representative at McDonald's, Jan 2024 - Feb 2025 · 1 yr 2 mos, Edmonton, Alberta, Canada, - Relocated to Canada; operated in a fast-paced, multicultural, cross-time zone environment — adapting to international workplace standards and communication norms. - Maintained 100% data accuracy processing 40+ transactions/hour, supporting POS data integrity and financial reporting. - Identified peak-hour service bottlenecks through transaction trend analysis, contributing to a 15% reduction in customer wait times. Tools: POS Systems · Excel · Data Reporting

Data Analyst at Acespritech Solutions Pvt Ltd, Dec 2022 - Feb 2023 · 3 mos, Ahmedabad, Gujarat, India, - Led end-to-end Power BI dashboard delivery for a 5-member analytics team, owning the full project lifecycle from requirements gathering and EDA through to stakeholder reporting. - Reduced version-control errors by 30% and improved team collaboration productivity by 25% by designing and implementing SharePoint-based workflow automation. - Engineered PowerShell scripts to retrieve Power BI metadata with 95% retrieval efficiency, eliminating hours of manual tracking overhead per sprint. - Standardised recurring workflow documentation and reporting templates across the analytics function, reducing onboarding time and improving process consistency for new team members. - Performed EDA across 5+ business domains, surfacing actionable insights that directly informed dashboard design decisions. Tools: Power BI · PowerShell · SharePoint · SQL · Python

Data Entry Operator at AutoDAP (A Gateway Group Company), Jan 2021 - Jan 2022 · 1 yr 1 mo, Ahmedabad, Gujarat, India, - Managed large-scale data validation workflows across a 12-member team, maintaining 90%+ accuracy under strict operational deadlines. - Reduced team workload by 75% by redesigning data-processing workflows and automating repetitive validation steps, enabling higher data volumes without additional headcount. - Conducted structured data audits and error-correction cycles, reducing data entry errors by 20% and improving reporting reliability. - Implemented validation frameworks that standardised input quality across the team, cutting rework cycles by 40%. Tools: Excel · SQL · Data Validation Frameworks

Education

Postgraduate Degree, Computer Engineering, Conestoga College

Master of Engineering, Computer Science, Gujarat Technological University (GTU)

Krupa Parmar - Data Analyst in Ahmedabad | Tal