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Renganayaki VenkatakrishnanRV
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Renganayaki Venkatakrishnan

@renganayakivenkatakr

Analytics consultant who turns data into automated insights with Power BI, SQL, and modeling.

Finland
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What I'm looking for

I’m looking for a role where I can deliver analytics that drive decisions—building Power BI/SQL dashboards, automating pipelines, and partnering with stakeholders to improve processes and outcomes through data quality, KPIs, and clear insights.

I’m an analytics consultant with hands-on experience in Power BI, SQL, and data modeling, using quantitative analysis and data visualization to support decision-making and process improvement.

I build and improve analytics workflows end-to-end—architecting automated pipelines, validating data quality, and designing dashboards and KPI tracking that stakeholders can act on. In my current role, I’m bridging the gap between ecosystem engagement and actionable data by tracking, analyzing, and visualizing digital influence and growth opportunities.

Beyond analytics, I’m known as the go-to person for organizing and problem-solving, with strong operations and stakeholder management experience. I’ve coordinated daily operations, resolved issues, and translated participant feedback into process improvements—while also delivering predictive analytics and root-cause findings that reduce delays and stockouts.

Experience

Work history, roles, and key accomplishments

TU

Data/Image Processing Trainee

Tampere University

Jun 2023 - Aug 2023 (2 months)

Improved data processing workflows for Wire Arc Additive Manufacturing (WAAM) by performing data cleaning, feature engineering, and structured analysis. Enabled more accurate reporting and experimentation using Python/OpenCV and supporting documentation.

Education

Degrees, certifications, and relevant coursework

Tampere University logoTU

Tampere University

Master's degree, Statistical Data Analytics

2022 - 2024

Completed a Master’s program in Statistical Data Analytics, building skills in machine learning, AI, and data/statistical analysis. Thesis: Minimal Counterfactual Explanations for Group Recommender Systems (Cluster-Based Approach).

Periyar University logoPU

Periyar University

Bachelor's degree, Statistics

2018 - 2021

Earned a Bachelor’s degree in Statistics with training in inferential statistics, quantitative research, and quality control/industrial statistics. Thesis: Roles and Challenges of Statistics during Covid-19.

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