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Developed a voice assistant system for automobiles to provide services like news, songs, food order etc.
> The web framework using Django and Python was developed with speech and text processing using
Dialogflow and several other APIs to understand the user request and provide the service accordingly.
> Developed recommendation engine based on geography, time, mood, gender, previous commands
etc to provide the services that is likely to be availed by user.
> Secured second position in HOWathon (Annual event at Publicis Sapient which aims at finding Innovative ideas and implementation for real world problems)

Publicis Sapient is a digital transformation partner helping established organizations get to their future, digitally-enabled state, both in the way they work and the way they serve their customers. We help unlock value through a start-up mindset and modern methods, fusing strategy, consulting and customer experience with agile engineering and problem-solving creativity. As digital pioneers with 20,000 people and 53 offices around the globe, our experience spanning technology, data sciences, consulting and customer obsession – combined with our culture of curiosity and relentlessness – enables us to accelerate our clients’ businesses through designing the products and services their customers truly value. Publicis Sapient is the digital business transformation hub of Publicis Groupe. For more information, visit publicissapient.com.

IT and digital transformation services provider

Developed the regression model for predicting and optimizing revenue for several marketing channels.
> Marketing campaign data collected from various channels to analyze and develop the model for revenue as a function of different types of spend and factors like seasonality etc.
> Budget allocation in multiple channels were optimized in order to maximize the revenue

Creative analysis enabled extracting details from advertisement using Deep learning in order to learn the
hidden factors for ads performance.
> Data extracted from Ads leveraging Google cloud vision API and mapped with marketing KPIs.
> Developed Machine Learning model for predicting performance and providing recommendations.

∠ Created various automated data pipelines involving Google BigQuery, Google Sheets and different
Google marketing channel through API and Dashboarding with Google Data Studio.
∠ Created Web Scrappers in Python to extract user reviews and required information for sentiment
analysis and topic modelling.
∠ Developed and managed integrated Data Pipeline involving data extraction from various channels,
processing with Alteryx and update to database

	Designed the model for text based classification which was used to classify the user narrative to predefined categories.
	The primary goal of the project was to train a classifier using user narratives having unstructured and messy data to perform automated classification of fault categories.
	Task include cleaning, pre-processing, and vectorization of user narratives using Python & NLTK.
	Working on implementing deep learning based modelling for improving the accuracy of the system.

Department of Biotechnology

JANDJ GROUP

Tata Consultancy Services (TCS) is an IT services, Agile consulting and business solutions partner. It is a leader in the global marketplace and among the top 10 technology firms in the world.  They offer services including Assurance Services, Business Operations, Consulting & Systems Integration, Product Engineering, Technology Operations, and Digital Reimagination. They provide different products, platforms, and services across technologies and various industries. In 2021, the company recorded annual revenues of $25.73B and a net profit of $5.14B

Provider of IT suite solution, consulting, and other services

	Designed the recommendation system using python for users of the automobile based tool.
	The Recommender system was able to recommend the triggers to the users of the analysis tool based on collaborative filtering method.
	The developed recommender system increased efficiency in terms of usage of similar user’s trigger and the throughput of the tool increased.

Developed predictive model for automobile maintenance using vehicle measurement and telemetry data.
 Responsible for data analysis, hypothesis and statistical testing to support product and client engagement.

Leading the projects from initial design stages to delivery.
 Implemented mapreduce for extracting data from different vehicle file formats in MatLab with parallel computing toolbox and integrated to .Net
 MatLab based GUI development to analyze and process large and different types of vehicle related file formats.

Responsible for DataPower Administration, conguration, deployment and monitoring in Linux based environment.
 Implementing solutions for internal clients to help them integrate with SOA based setting.

Designing and developing DotNet based application with 3-tier architecture and migration of existing ones to the latest framework version.
 Worked on SQL for creating Database tables and stored procedures in order to save the data.