DATA • INSIGHTS • BUSINESS DECISIONS

Disha Pramanick

Analytics Professional | Data • Business • Product

Turning complex data into reliable insights, business decisions and process improvements.

2+ years of professional experience across analytics, business reporting, data quality and automation, supported by hands-on project work across customer, product, retail, e-commerce, financial and risk analytics.

2+ Years of Experience
500K+ Records Validated
7 Analytics Projects
PL-300 Microsoft Power BI

Analytics built around the business problem.

Combining analytical depth, business context and clear communication to turn data into action.

Disha Pramanick

I'm an analytics professional with 2+ years of experience across data analysis, business reporting, data quality, automation and stakeholder-driven analytics.

I use SQL, Python, Power BI, Tableau and Excel to clean and analyze data, investigate business problems, identify trends and anomalies, automate recurring workflows and build decision-ready reporting solutions.

My professional experience includes financial and insurance analytics, KPI reporting, data validation, root-cause analysis, process improvement and cross-functional stakeholder collaboration.

My project work extends into retail and e-commerce analytics, product conversion, customer segmentation, retention, cohort analysis, RFM segmentation, sales performance and credit risk — applying the same analytical fundamentals across different customer and commercial problems.

I'm particularly interested in opportunities across data analytics, business analytics, product analytics, business intelligence, retail, e-commerce, consumer technology, financial services and insurance.

Selected Analytics Projects

End-to-end analytical projects spanning product, customer, retail, e-commerce, insurance, sales and financial analytics — from raw data to business insight.

Sales and Customer Performance Analytics
SALES • RETAIL • COMMERCIAL

Sales & Customer Performance Analytics

Interactive analytics solution examining sales performance, customer patterns, product categories, payment methods and monthly business trends through KPI-focused reporting.

Tableau Sales Analytics Retail Analytics Customer Analytics KPI Reporting
Bank Loan Credit Risk and Portfolio Analytics
FINANCIAL • CREDIT RISK

Bank Loan Credit Risk & Portfolio Analytics

Analyzed loan applications, funded amounts, repayments and portfolio performance to examine lending trends, credit-risk indicators and overall portfolio health.

SQL Tableau Financial Analytics Credit Risk KPI Analysis
COVID-19 Data Exploration
PUBLIC HEALTH • SQL • EXPLORATION

COVID-19 Data Exploration

Explored population-level COVID-19 data using structured SQL analysis to examine infection, mortality and geographic patterns across a public-health dataset.

SQL Data Exploration Public Health Data Analysis

Technical & Business Toolkit

Combining analytical tools with business understanding to solve problems from raw data to final insight.

Analytics & BI

SQL • Power BI • Python • Excel • Tableau • Pandas • NumPy • Matplotlib • Seaborn • DAX • Power Query • Exploratory Data Analysis • Data Visualization

Business & Product Analytics

Customer Behavior • Customer Segmentation • Customer Retention • Cohort Analysis • RFM Segmentation • GMV • AOV • Repeat Purchase Analysis • Funnel Analysis • Conversion Analysis • KPI Reporting • Trend Analysis • Root Cause Analysis • Requirements Analysis

Data & Automation

Data Quality • Data Validation • ETL • Azure Data Factory • Power Query • VBA • Excel Automation • Python Automation • Reporting Automation • Data Transformation

Analytics Across Business Contexts

Professional domain experience supported by hands-on analytical projects across customer, commercial and financial problems.

Professional Exposure

BFSI • Insurance

Financial and insurance reporting, KPI analysis, data validation, root-cause analysis, process improvement and stakeholder-driven analytics.

Project Exposure

E-commerce • Retail • Customer • Product • Sales • Financial • Credit Risk

Projects covering conversion funnels, customer segmentation, retention, cohort analysis, RFM, shopping behavior, sales performance, financial portfolios and risk indicators.

Analytics Focus

Customer • Product • Commercial

Developing deeper analytical expertise around customer lifecycle, retention, conversion, digital products, pricing, promotions and commercial performance.

Professional Experience

2+ years across analytics, reporting, data quality and automation.

Analyst – Data & AI

Innodata

Jan 2026 – Apr 2026
  • Validated and analyzed 500K+ records across AI/LLM data workflows, identifying data-quality, consistency and annotation issues.
  • Built 5+ Power BI dashboards and recurring KPI reports for performance monitoring and stakeholder reporting.
  • Used Python, Excel and VBA to automate recurring reporting and validation workflows, reducing manual effort by approximately 40%.
  • Performed analytical QA and communicated trends, exceptions and performance findings through recurring business reporting.

Associate Software Engineer (Data Analytics & Business Reporting)

Accenture

Nov 2023 – Aug 2025
  • Analyzed financial and insurance datasets using SQL and Excel to support KPI reporting, portfolio analysis and business decision-making.
  • Developed 3+ Power BI dashboards for recurring business and performance reporting.
  • Supported Azure Data Factory ETL workflows, improving reporting efficiency by approximately 32%.
  • Performed data validation, reconciliation and root-cause analysis to improve reporting reliability and identify business issues.
  • Automated analytical and reporting activities using Python and SQL while collaborating with cross-functional stakeholders.

Certifications & Professional Development

Microsoft Certified: Power BI Data Analyst Associate

Microsoft • PL-300

Google Data Analytics Professional Certificate

Google • Coursera

Data Analytics Job Simulation

Deloitte • Forage

Let's connect.

Interested in discussing Data Analytics, Business Intelligence, Business Analytics, Product Analytics, Retail & E-commerce Analytics or other data-driven opportunities? Feel free to reach out.