Data Analysis & Insights for Financial Industry

Business Impact


Whether mortgage banks, payment processors, insurance companies, or any financial provider, digital products have made a turning point in improving service quality and overcoming shortcomings.


Big data analytics has become one of the key components for helping financial institutions analyze a large wave of information to get financial insights, predict future trends, & calculate risks.


Instead of scraping data manually from sites and deriving solutions with limited data, we can use a data engineering model to scrap or aggregate data from multiple sites and derive actionable insights from a large volume of appropriate data, and make smart decisions easily.


We have helped a Finance company in getting data-driven insights from 20 years of data aggregated from multiple sites, which helped them in decision making.


In this solution, we have scraped stock data from multiple sites, followed by Complex custom financial ETL calculations.


Merged missing data points from multiple sites and verified using a third-party website. The extracted data is provided to the client in the form of an Excel template that contains 20 years of stock data

Technology Stack

Solution Approach


End to End solution with bot input (stock name) – data will be crawled, ETL processed, and delivered in customer required excel template


Build a framework to handle different platforms and deployed it in airflow for an automatic run every week

Trusted and Proven Engagement Model

  • A nondisclosure agreement (NDA) is signed to not disclose any sensitive information revealed over the course of doing business together.
  • Our NDA-driven process is established to keep clients’ data and IP safe and secure.
  • The solution discovery phase is all about knowing your target audience, writing down requirements, and creating a full scope for the project.
  • This helps clarify the goals, and limitations, and deliver quality products & services.
  • Our engagement model defines the project size, project development plan, duration, concept, POC etc.
  • Based on these scenarios, clients may agree to a particular engagement model (Fixed Bid, T&M, Dedicated Team).
  • The SOW document shall list details on project requirements, project management tools, tech stacks, deliverables, milestones, timelines, team size, hourly/monthly rate cards, billable hours and invoice details.
  • On signing the SOW, an official project kick-off meeting shall be initiated.
  • Our implementation approach, ecosystem, tools, solutions modelling, sprint plan, etc. shall be discussed during this meeting.

Our Award-Winning Team

A seasoned AI & ML team of young, dynamic and curious minds recognized with global awards for making significant impact on making human lives better

Awarded Bronze Trophy at CII National competition on Digitization, Robotics & Automation (DRA) – Industry 4.0






Projects for
reputed Clients


5 yrs

in AI & ML

Awarded as Winner among 1000 contestants at TechSHack Hackathon

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