Varundeepak B A

As a data analyst, I am driven by a deep curiosity and an open-minded approach to problem-solving, constantly seeking new insights and innovative solutions. My ambition fuels a continuous pursuit of mastery, where I thrive on autonomous challenges and practical applications that deliver tangible results.

Experience

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Data Analyst

Alienkind · Jan 2026 – Jun 2026

Not yet confirmed

• Built and maintained end-to-end sales reporting infrastructure for a fast-scaling QSR brand, consolidating data from POS, Zomato, and Swiggy into daily, weekly, and monthly performance reports across multiple branches
• Replaced ad-hoc reporting with a self-serve sales intelligence dashboard, enabling leadership to independently explore performance trends across branches, channels, and time periods
• Supported HR operations across the full recruitment cycle - candidate outreach, data collection, interview scheduling, and performance observation - as a generalist contributor in a lean, early-stage startup environment

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Business Analytics powered by Qlik - Virtual Internship

SmartInternz · Apr 2024 – Jun 2024

Not yet confirmed

• * Created interactive Qlik Sense dashboards that revealed key factors contributing to road accidents in India, enabling targeted safety recommendations
• * Developed a data-driven storytelling presentation that transformed 10,000+ accident records into actionable insights, receiving top assessment scores

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Qlik Sense Intern

SmartInternz · Apr 2024 – Jun 2024

Not yet confirmed

• Built interactive Qlik Sense dashboards that revealed key factors contributing to road accidents in India, enabling targeted safety recommendations
• Developed a data-driven storytelling presentation that transformed 10,000+ accident records into actionable insights, receiving top assessment scores

Programmer Analyst

Cognizant · Jan 2023 – Feb 2023

Not yet confirmed

• * Implemented staging tables and optimised data warehouse models that improved data ETL and migration performance by 25%
• * Collaborated and communicated with the on-site team to understand and work on this project, improving project-working, planning and communication skills

Programmer Analyst (Trainee)

Cognizant · Jan 2022 – Feb 2023

Not yet confirmed

• Promoted from Trainee to Analyst in Jan 2023
• Worked on Power BI dashboard components that consolidated data from multiple sources to identify KPIs and analyse trends, providing actionable insights
• Collaborated with on-site and offshore cross-functional business stakeholders to design analysis approaches and deliver data-driven solutions
• Implemented staging tables and optimised data warehouse models that improved data ETL and migration performance by 25%
• Worked on data pipelines across AWS services (S3, RDS, Glue) to reduce manual processing by more than 50%

Programmer Analyst Trainee

Cognizant · Jan 2022 – Jan 2023

Not yet confirmed

• * Automated data pipelines across AWS services (S3, RDS, Glue) that reduced manual processing by more than 50%
• * Developed Power BI dashboards that consolidated data from multiple sources, providing actionable insights

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Associate Analyst

Rudder Analytics · Aug 2021 – Dec 2021

Not yet confirmed

• Processed and analysed 1M+ daily records, identifying data quality issues and behavioural patterns impacting client reporting
• Improved dataset accuracy through handling of missing and inconsistent values, supporting stronger analytical outcomes
• Collaborated with BI teams to prepare datasets for dashboarding and trend analysis using SQL, Excel and ETL processes
• Engineered complex SQL logic across multiple systems to support analytical workflows and client insights delivery
• Learned concepts and tools such as Snowflake, BigQuery, Machine Learning, Talend etc.

Machine Learning and Deep Learning Summer Intern

SMARTBRIDGE EDUCATIONAL SERVICES PRIVATE LIMITED · Jun 2019 – Jul 2019

Not yet confirmed

• * Developed breast cancer prediction model, achieving 95% accuracy using Python and scikit-learn
• * Deployed machine learning application to IBM Watson and built a web interface using Node-RED, enabling real-time diagnostics processing