Tata Consultancy Services

𝐂𝐥𝐢𝐞𝐧𝐭: FCA/Stellantis  𝐑𝐨𝐥𝐞:Data Scientist/Campaign Developer
•	Implemented and deployed machine learning systems into production, including recommendation system for appointment times (in Hive) that reduced abandonment rate by 25%. Also developed an outlier detection system and implemented forecasting algorithms.
•	Utilized A/B testing to increase email open rates by 10%.
•	Worked with social media managers & business to gather requirements and automate service marketing campaigns for millions of customers across digital media/email using digdag, Python and Presto SQL.
•	Created dashboards/reports and data visualizations with Qliksense, Qlikview and matplotlib. Also created presentations for business stakeholders.

Data Scientist/ Software Engineer( Analytics and Insights)

𝐂𝐥𝐢𝐞𝐧𝐭: Pacific Gas & Electric  𝐑𝐨𝐥𝐞: Data Engineer/Backend Engineer
Worked on the Public Safety Power Shutdown application that shuts down power to prevent wildfires in Northern California. Dealt with the data processing  aspect of PSPS using Python Pandas, SQL, and AWS products such as ECS,S3,RDS,Lambda.

𝐂𝐥𝐢𝐞𝐧𝐭:  Cisco 𝐑𝐨𝐥𝐞:Software Engineer
 Worked on building and deploying a chatbot using Python Flask and AWS EC2.

Software Engineer

Santa Clara University

Experimenting with source speech separation, forecasting, & generative modelling using deep learning (LSTMs, CNNs, variational autoencoders), Bayesian statistics, & information theory.

Grad Student Research 

Sportsseam

Worked on machine learning & image processing/computer vision algorithms for motion tracking. 
Improved the algorithm accuracy and implemented/developed new ones using neural networks. Libraries used include  OpenCV, Tensorflow, & Keras.

Machine Learning/Data Science Engineer

UCSD

Independent Study/Research.
Researching the implementation of machine learning algorithms on new computer architectures with Professor Kenneth Kreutz  Delgado and the Processors for Machine Learning Special Interest Group.

Independent Study

I am  a software engineer and data scientist, with speciality in machine learning,forecasting, computer vision, and service marketing analytics. I also have expertise with deep generative models, such as variational autoencoders,  and speech signal separation methods. I tend to use Java, C/C++, &  Python.

Taplio

Aman Singh's Linkedin Analytics

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