Python • SQL • BigQuery
Raw Data,
Real Insights
End-to-end data collection, cleaning, and analysis — from sourcing and structuring raw data to statistical analysis and actionable business recommendations that your team can implement immediately.
50M+Data Points Processed
48hrInitial Insights Delivery
95%Data Quality Accuracy
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Analysis Tools We Use
What We Do
Comprehensive Data Analysis Services
Data Collection & Sourcing
Structured data collection from primary sources (surveys, interviews, forms) and secondary sources (public datasets, APIs, web scraping) — ensuring you have complete, relevant, high-quality data for analysis.
Survey DesignWeb ScrapingAPI DataPrimary Research
Data Cleaning & Preparation
Rigorous data cleaning — removing duplicates, standardising formats, handling missing values, and validating consistency — transforming messy raw data into a reliable, analysis-ready dataset.
Data CleaningDeduplicationStandardisationValidation
Exploratory Data Analysis
Deep exploratory data analysis (EDA) — distributions, correlations, outliers, and patterns — building a comprehensive understanding of your data before drawing conclusions or building models.
EDACorrelationsOutlier DetectionDistributions
Statistical Analysis & Insights
Rigorous statistical analysis — hypothesis testing, regression analysis, cohort analysis, segmentation — translating your data into statistically valid business insights with clear confidence levels.
Hypothesis TestingRegressionCohort AnalysisSegmentation
Data Pipeline & ETL Setup
Automated ETL (Extract, Transform, Load) pipelines collecting and processing your data on schedule — eliminating manual data pulls and ensuring your analysis always uses fresh, current data.
ETL PipelineAutomationScheduled JobsData Warehouse
Insight Reports & Recommendations
Business-focused analysis reports translating data findings into plain-English insights with prioritised, actionable recommendations — bridging the gap between raw analysis and strategic decision-making.
Insight ReportsRecommendationsDecision SupportPresentations
Meet Your Data Analysts
Hello, I'm
Kavya
Data Analyst & Python Specialist
A Python-first data analyst who has processed 50M+ data points across e-commerce, SaaS, and financial services clients. Kavya's analysis work is known for its statistical rigour and business relevance — she doesn't just describe what the data says, she explains why it matters and what you should do differently.
Recent Success Stories
ETL Pipeline & Data Unification
5-System Data Unification: 2 Weeks → 2 Hours
85% Faster Monthly Analysis
SaaS User Behaviour Analysis
Cohort Analysis Led to 28% Trial Conversion Lift
+28% Trial-to-Paid
3-Year Sales Data Deep Dive
Sales Data Analysis: +22% Revenue Quarter
+22% Revenue vs Prior Year
What Our Clients Say
"Our operations data lived in 5 different systems with different formats and no consistent logic. Protechplanner built a data pipeline that collects, cleans, and unifies everything daily. For the first time in 3 years, we trust our numbers completely — and our monthly analysis that took 2 weeks now takes 2 hours."
Suresh Iyer
Operations Director, ManuTech
"We needed to understand why 40% of our trial users weren't converting. Protechplanner did a cohort analysis on 18 months of user behaviour data that identified a specific pattern — users who didn't complete the integration step in week 1 almost never converted. That single insight changed our onboarding flow and improved trial-to-paid by 28%."
Linda Wu
Growth Lead, SaaSScale
"Three years of sales data, completely unstructured and inconsistent. Protechplanner cleaned, standardised, and built an analysis that revealed seasonal patterns and regional performance differences we had no idea existed. The recommendations directly informed our Q3 strategy and we saw a 22% revenue uplift versus the same period last year."
Vikram Singh
CMO, RetailLeap
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Turn Your Data
Into Decisions
Our data analysts will collect, clean, and analyse your business data — delivering insights that directly inform your strategy, not just visualisations of what you already knew.