Projects

Using a combination of multiple facets of Health, Engagement and Productivity to estimate occupational burnout

Problem statement
To identify the signs of burnout in the workforce based on employee feedback and help organisations take timely action for better health and higher productivity of their workforce.

Final outcome
End-to-end implementation & web-based dynamic dashboard.

  • Image 01: Below is the view of the dynamic dashboard built using Panel/Holoviews.

  • Image 02: Data pipeline architecture built using dagster & dagit

  • Image 03: All the open-source tools used to build the final product

DataJourney

Work in progress effort, featuring data engineering/analytics workflows developed with open source tools Development repository: https://github.com/sayantikabanik/DataJourney

Crop price forecasting

End-to-end AutoML based, price forecasting framework. All the tools and technologies used in this project are Open source.

Motivation

  • 15 to 16 % of GDP is contributed by agriculture and its allied sectors

  • 55 to 60 of Indian households are depending on income generated by Agri sectors: which emphasizes how big is the base of the issue.

  • The price of agricultural products, such as preservable and non-preservable are volatile throughout the seasons. Unstable prices are heart-breaking for producers and painful for consumers Also, head-ache for serving governments: on the supply side, managing input material & on procurement, ensuring MSPs (Minimum supporting prices)

Possible Solution

  • A better estimation of prices of commodities in the long (12 to 36 months) and short term (3 to 5 months) can direct farmers toward the cultivation of remunerative crops

  • In turn, the Price managing strategy will ease the burden on incentives provided by governments. Also helps in the planning of input material

  • Price forecasting and demand estimation help in planning input supplies (Either raw or ready-to-consume) efficiently. In turn, the availability of products at affordable prices to consumers.

Deployment link - https://price-map-fp2.herokuapp.com/

Source code & framework setup - https://github.com/sayantikabanik/FP2

eaze4U

eaze4U - http://www.eaze4u.com
(Research-based)

According to the market research undertaken by trusted public and private financial institutions, only 5.5% of the entire population is using digital banking services. Our elders often face a huge challenge to understand digital banking services and often have to ask for support. At eaze4U we aim to present just the right content and aptly what you want to know. All bundled in an elegant design card (in progress).

HatchMap

HatchMap - https://hatchmap.herokuapp.com/

Hatchmap is designed to help local retailers predict future trends which will help them with their inventory management and optimising overall revenue. The model uses the strength of sentiments in order to predict sales. This model is using linear regression and sentiment analysis. The data is collected from Twitter's (open APIs) abiding privacy policies.

Future Scope

  • Given any product, we will fetch the required data from various websites and social media platforms.

  • Add the retailers/business's previous sales and other parameters (if applicable) that affect the sales.

  • The model would predict the upcoming sales even with the varying parameters and is capable to recognise data drifts.

  • This will help the retailer/business in procuring the right inventory for products that would create a significant impact on the business.

Understanding the state of microfinance and penetration of technology in banking sector for India

The outcome of the analysis revealed that the literacy rate (irrespective of social-economic status )of a given state in India has a significant impact on the utility of technology and availing microfinance.

Research Work

Terrain Smart Safety System with Data Hub Establishment

DOI (Link to the Springer publication)

The proposed terrain smart safety system using radio-frequency identification (RFID) aims to avoid the problems faced during traversing of treacherous mountain roads which generally consists of hairpin turns and steep edges. The RFID technique is used to detect and report the status of vehicles at every turn. The complete system provides an efficient way to identify the mishaps happening on mountain roads. The number of vehicles and its location can be monitored remotely and necessary actions can be initiated if required. Amateur drivers often traverse in such hostile conditions, leading to fatal mishaps. Due to lack of sufficient communication and availability of medical assistance in these locations, most of the accident cases remain anonymous. The deployment of this system aims to decrease the rate of accidents. The identification details of a vehicle and the passengers are recorded. The data can be handed over to the concern authorities in case of any accident or natural calamity.