Varundeepak B A

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.

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Contact details — on requestProof of Work — on request

Experience

A

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
S

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
S

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
Cognizant

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
Cognizant

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%
Cognizant

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
R

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.
SMARTBRIDGE EDUCATIONAL SERVICES PRIVATE LIMITED

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

Skills 0 proven through work

Also works with

CodingAI Tools UsageAI Solution ImplementationFull-stack DevelopmentData EngineeringData ScienceFeasibility and Impact AssessmentData-Driven RecommendationsStakeholder Communication AdaptationImpact AnalysisData Integrity ManagementPostgreSQL Database UsageDatabase NormalizationInput Validation ImplementationWorkflow Design (Process Mapping)Database Query OptimizationData ConsultingData OrganizationData Readiness AssessmentInventory ManagementData Discrepancy InvestigationData CollectionData GovernanceContent Strategy DevelopmentData PreprocessingProcess UnderstandingIT Industry KnowledgeTeam CommunicationWork Planning and PrioritizationDesign ReviewData ModelingETL Pipeline DevelopmentData Architecture DesignTeamworkStakeholder ManagementRequirements AnalysisRemote Team ManagementCross-Departmental CoordinationData StorytellingGeospatial Data VisualizationDatabase IntegrationPower BIBefore-and-After Impact MeasurementMarket SegmentationMarket Trend AnalysisBulk Data ProcessingStreaming Data ProcessingProduct Data AnalysisData TransformationUser FeedbackWork EfficiencyBusiness Growth StrategyProcess ImprovementSales AnalysisBusiness AnalysisData VisualizationAnalytical Report CreationDashboard UI DesignBusiness AcumenPattern RecognitionTime Series Trend AnalysisExploratory Data Analysis (EDA)

Proof of Work

Proof of Work

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Education

M.Sc, Data Science

University of Edinburgh · 2023 — 2024

Bachelor of Technology (B.Tech), Information Technology

Sona College of Technology · 2017 — 2021

Contact details

Contact details

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