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Riya GedamRG
Open to opportunities

Riya Gedam

@riyagedam

Data analyst specializing in ETL, SQL, automation, and financial reporting.

Zimbabwe
Message

What I'm looking for

I seek roles where I can apply ETL and SQL expertise to automate workflows, build actionable finance-focused reports, and grow into advanced BI or data engineering responsibilities in collaborative teams.

I am a data analyst who transforms raw data into actionable insights to support financial and operational decision-making. I specialize in ETL processes, automating workflows, and building reports and visualizations that drive business efficiency.

At my current role I extract and transform data from system APIs, parse and clean files, and load structured data for analysis, using tools such as Power Query (M language), Excel, and SQL. I have developed Power BI dashboards for finance reports, conducted feature performance analysis with pivot tables, and implemented SQL-based synchronization to maintain data consistency across systems.

With a Master of Science in Statistics and certifications in R and Google Analytics, I combine technical expertise with a strong grounding in accounting and taxation (GSTR1, HSN) to deliver precise, reliable analytics that support stakeholder decisions.

Experience

Work history, roles, and key accomplishments

PC
Current

Data Analyst

Pinnove (Carbonshelf)

Sep 2022 - Present (3 years 6 months)

Built ETL pipelines and transformed API/SEQ data into GSTR1/HSN summary reports and Excel datasets, improving reporting accuracy and supporting finance decisions; developed Power BI visualizations to surface interest and commission metrics for stakeholders.

Education

Degrees, certifications, and relevant coursework

IN

Institute of Science, Nagpur

Master of Science, Statistics

2020 - 2022

Completed a Master of Science in Statistics with coursework and projects focused on statistical methods and data analysis.

IN

Institute of Science, Nagpur

Bachelor of Science, Science

2015 - 2018

Completed a Bachelor of Science with foundational studies in mathematics and statistics relevant to data analysis.

Tech stack

Software and tools used professionally

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