Observea

• Utilized PyTorch to implement a Causal Framework using Python for precise causality predictions in organizational dynamics.
• Deployed the casual model using AWS Batch, Kubernetes, and Docker for resource-efficient execution and streamlined queue management.
• Engineered scalable Kotlin and Java microservices with GraphQL, enabling organizations to manage functionalities, bolster security, and optimize data manipulation such as creating new tenants and new user profiles.

AI Software Engineer

University of San Francisco

IT Support Specialist

Clientell 

• Engineered an NLP model using TensorFlow, Named Entity Recognition, sBERT, BERTopic, and Hugging Face for 92% accurate CRM data extraction from emails and abstractive summarization.
• Integrated the NLP model with a front end using AWS Lambda and AWS API Gateway for secure and efficient deployment.
• Designed a Chrome product for LinkedIn lead generation, backed by Postgres and AWS S3 for precise client data management.
• Crafted and integrated AWS Quicksight dashboards with key CRM metrics using RestAPI.

Founding Member (Lead Data Scientist & Client Interactions)

Gourmet Garden

• Designed an SKU demand forecast model using FB Prophet Supervised Learning, boosting sales by 15% with accurate multi- seasonality demand analysis.
• Developed a demand forecasting app leveraging AWS (Lambda, S3, API Gateway) and HTML/JavaScript, enhancing inventory management insights.
• Optimized email marketing with K-Means clustering via Scikit-learn, boosting CTR by 23% through advanced audience segmentation.
• Adapted forecasting and inventory models to address supply-demand shifts during early COVID lockdown phases.

Data Scientist

Mu Sigma Inc.

• Applied TensorFlow and NLP (Named Entity Recognition, RegEx) to extract insights from clinical trial reports, delivering key metrics for a leading pharmaceutical client.
• Launched inventory optimization using a Regression and Boosting hybrid model (ARIMA-XGBoost) model for a Fortune 500 energy firm, achieving $1 million yearly savings and streamlined processes.
• Pinpointed 3 pivotal areas for inventory and supply chain enhancements for a top Fortune 500 energy supplier.

Decision Scientist

Aeronautical Development Agency

As part of my B.E final year project, I created an IoT based parking system for aircrafts. This helped increase efficiency and reduce time for pilots to reach the designated parking spot.

Project Intern

3Frames Lab

I was part of a team that created a home automation system using a phone base application titled ‘SmartGlo’. It was a project commissioned by the alighting company - Luminous.

Intern

I am a data scientist executing data- driven solutions that increases efficiency and accuracy. Experienced in analyzing data to deliver business related insights and creating forecasts using time series modelling and natural language processing

Taplio

Arjun Chakravarthula's Linkedin Analytics

Arjun Chakravarthula

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Taplio

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Arjun Chakravarthula

Want to drive more opportunities from LinkedIn?

Arjun Chakravarthula's Linkedin Analytics