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Kamakshi AgarwalKA
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Kamakshi Agarwal

@kamakshiagarwal

I’m a Data Analyst turning complex data into BI dashboards that stakeholders can act on fast.

India
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What I'm looking for

I’m looking for a Data Analyst role where I can translate business needs into scalable Power BI and Snowflake solutions, automate reporting, and partner with stakeholders to drive faster, data-driven decisions.

I’m a Data Analyst with 3 years of experience specializing in enterprise data modeling, requirement gathering, dashboard optimization, and stakeholder management. I translate business requirements into scalable business intelligence solutions and turn complex datasets into actionable insights.

In my current role, I architect enterprise-scale Power BI dashboards for financial and business KPI reporting using SQL, Snowflake, and data modeling. By automating reporting and optimizing performance with SQL, DAX, and data validation, I’ve reduced reporting effort by 40–50% and improved report load times by 80%.

I also build end-to-end analytics solutions across teams—engineering automated Power BI dashboards for investment performance and risk analytics, and using Python-based ETL workflows to eliminate pipeline bottlenecks. Earlier, I created an AI-based pseudo-colouring solution in Python at DRDO that boosted image recognition accuracy from 80% to 92–95%, and I continuously look for ways to improve clarity, speed, and decision-making through data.

Experience

Work history, roles, and key accomplishments

GL
Current

Data Analyst

Gemini Solutions Pvt Ltd

Jan 2024 - Present (2 years 8 months)

Architected enterprise-scale Power BI dashboards for financial and business KPI reporting using SQL and Snowflake, enabling stakeholders to make data-driven decisions. Automated and optimized reporting and dashboard performance, reducing reporting effort by 40–50% and improving report load times by 80%.

DD

Trainee Intern

Defence Research and Development Organisation (DRDO)

Jul 2023 - Sep 2023 (2 months)

Designed and implemented an AI-based pseudo-colouring solution in Python to transform grayscale terrain images into colour-mapped visualizations for improved terrain interpretation. Improved image recognition accuracy from 80% to 92–95% by optimizing preprocessing and computer vision models.

Education

Degrees, certifications, and relevant coursework

AC

ABES Engineering College

Bachelor of Technology (B.Tech), Computer Science (Data Science)

Grade: GPA: 8.6/10

Pursued a B.Tech in Computer Science (Data Science) at ABES Engineering College, achieving a GPA of 8.6/10.

Tech stack

Software and tools used professionally

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