Data Analytics • Artificial Intelligence • Business Intelligence

Driving Growth Through Data, Analytics & AI

Databydupwork is a leading Data Analytics, Artificial Intelligence, and Business Intelligence consulting firm helping organizations transform data into measurable business value. We combine advanced analytics, predictive modeling, AI-powered solutions, and industry expertise to help businesses optimize performance, reduce risk, and unlock new opportunities for growth.

Helping organizations make faster decisions, achieve better outcomes, and build a data-driven future.

Leveraging experience from remote projects associated with

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Our Methodology

A systematic approach to turning raw chaos into strategic intelligence.

Step 01

Discovery & Strategy

Understand business goals, challenges, KPIs, and project requirements .

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Step 02

Data Engineering & Preparation

Collect, clean, validate, and structure data for analysis.

Step 03

Analytics & AI Development

Generate insights using BI, predictive analytics, machine learning, and AI .

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Step 04

Delivery & Business Impact

Deploy dashboards, reports, and AI solutions with ongoing support .

Featured Work

Projects That
Define Databydupwork

01

European Central Bank (ECB)

Customer Segmentation & Churn Pattern Analytics in European Banking

Conducted end-to-end customer churn analysis for a European banking dataset by performing data ingestion, validation, cleaning, and feature preparation to ensure data quality and churn labeling accuracy. Designed multi-dimensional customer segmentation models based on geography, age groups, credit score bands, tenure categories, and account balance profiles to identify high-risk customer segments. Performed comprehensive exploratory data analysis (EDA) to evaluate overall and segment-wise churn rates, demographic churn patterns, customer retention behavior, and revenue exposure from high-value customer attrition. Developed key business KPIs including Overall Churn Rate, Segment Churn Rate, Geographic Risk Index, High-Value Churn Ratio, and Engagement Drop Indicators to support strategic decision-making. Built an interactive Streamlit dashboard featuring dynamic filters, drill-down analytics, churn visualizations, KPI monitoring, and customer segment exploration capabilities. Delivered actionable retention recommendations through executive reporting, enabling data-driven customer retention strategies and improved understanding of churn drivers across demographic, geographic, and financial dimensions. Technologies: Python, Pandas, NumPy, Streamlit, Plotly, Matplotlib, Seaborn, Statistical Analysis, Data Visualization, Customer Segmentation, KPI Development, Exploratory Data Analysis (EDA), Business Intelligence.

Python Machine Learning Power Bi
02

U.S. Department of Health and Human Services

Time-Series Forecasting & Capacity Risk Analytics for HHS Shelter Operations

• Developed a time-series forecasting and operational analytics platform using Python, AWS, Snowflake, Tableau, and Streamlit to predict shelter demand, capacity utilization, and operational risks . • Performed end-to-end analytics workflows including data cleaning, EDA, statistical analysis, feature engineering, and predictive modeling using Pandas, NumPy, Scikit-learn, and forecasting techniques . • Built ARIMA and Random Forest forecasting models and designed interactive Tableau dashboards for KPI tracking, forecasting insights, and data-driven capacity planning.

03

Ai Powered Adaptive Assessment System & Educational Analytics Platform

SaaS Product

• Developed an AI-powered assessment analytics platform using FastAPI , Streamlit , Power BI , SQLite, and Ollama Phi-3, integrating Generative AI, NLP, and adaptive learning workflows. • Built AI-driven features including automated MCQ generation, exam evaluation, AI tutoring, PDF simplification, and personalized recommendation systems using prompt engineering and lightweight LLMs. • Designed interactive Power BI dashboards and automated analytics pipelines for KPI tracking, performance analysis, predictive analytics, and data-driven educational reporting.

04

NYC Taxi Revenue Optimization & Payment Behavior Analytics using Statistical Hypothesis Testing

Statistical Hypothesis Testing

• Conducted large-scale taxi revenue analytics on 6.4M+ NYC trip records using Python, statistical analysis, and exploratory data analysis to identify revenue-driving customer payment behaviors. • Performed data cleaning, preprocessing, outlier treatment, and feature engineering using Pandas and NumPy while building visual analytics with Matplotlib and Seaborn to uncover fare trends and customer behavior patterns. • Applied hypothesis testing, probability analysis, and T-test validation using SciPy and Statsmodels to derive business insights showing higher revenue generation from card-based transactions compared to cash payments.

WE WORK WITH

Modern Technologies & Tools

Leveraging modern technologies, AI frameworks, cloud platforms, analytics tools and enterprise-grade infrastructure to build scalable, intelligent and future-ready solutions.

Python
SQL
Power BI
Tableau
Streamlit
Databricks
Snowflake
SAP Analytics
AWS
Pandas
NumPy
Scikit-Learn
XGBoost
SHAP
Matplotlib
Seaborn
SciPy
Statsmodels
ARIMA
SQLite
Git
GitHub
Machine Learning
Predictive Analytics
Time Series Forecasting
Statistical Analysis
EDA
Data Visualization
Dashboard Development
KPI Reporting
ETL Pipelines
Data Warehousing
Generative AI
NLP
Prompt Engineering
REST APIs
Ollama LLMs
GA4

35+

Technologies & Tools

10+

Analytics & AI Domains

100%

Data-Driven Solutions

24/7

Support & Monitoring

Precision Services

Bespoke analytical engines engineered by India's brightest mathematical minds.

insights

Data Analysis

Deep-dive structural analysis to uncover patterns that standard tools miss. We don't just find data; we find meaning.

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Predictive Analytics

Utilizing machine learning models to forecast trends and consumer behavior with up to 98% accuracy.

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BI Dashboards

Custom-built glassmorphic command centers for C-suite executives who demand real-time clarity.

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Strategic FAQs

Everything you need to know about partnering with our IIT-led team.

How secure is my company data? expand_more
We employ military-grade encryption for all data at rest and in transit. Our engineers follow strict SOC2 compliance guidelines, and we offer on-premise deployment options for highly sensitive industries.
What is the typical integration timeline? expand_more
A standard proof-of-concept (PoC) takes 4 weeks. Full enterprise-wide deployment typically spans 12-16 weeks depending on the complexity of your legacy infrastructure.
How do you measure ROI? expand_more
We define specific KPIs (Key Performance Indicators) during the discovery phase—such as reduced churn, increased LTV, or operational cost savings—and track these through real-time dashboards we build for you.

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Available for New Projects

Ready to Build Something Extraordinary?

Empowering organizations through Data Analytics, AI, and Digital Transformation. Databydupwork delivers end-to-end analytics solutions—from data strategy and engineering to advanced forecasting, machine learning, and executive reporting—helping businesses convert complex data into actionable intelligence and sustainable competitive advantage.