Tulasi RamTR
Looking for a job

Tulasi Ram

@thulasiram

Data Scientist with 6+ years of experience. Worked on a variety of Data Science Projects.

India
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What I'm looking for

Derive Insights from Data, Build models to drive revenue for the company and mentor junior data scientists.

In my 6 years of Data Science career I worked on different data science projects like Building a Recommendation engine for a social media app, building look-a-like models and deploying it on scale (1000's of them), Content moderation and tagging using computer vision, building churn prediction models, creating a data lake, building a data discovery platform, automating dashboards etc. I am good at various topics on data science like Computer vision, NLP, Interpretable Machine learning, Causal Inference, Probabilistic Programming among other things. I love to derive insights from data and build models to create value for the organization.

Experience

ZEE5 logoZE

Lead Data Scientist

ZEE5

Nov 2018 - Dec 2020 (2 years 1 month)

● Churn prediction modeling
● Creation of Taste Clusters of the users for Adtech and Martech campaign targeting
● Created a single point of truth (data warehouse) by combining different data sources using customer development
platform (CDP) and AWS
● Creation of Adtech and Martech CDP platforms
● Powered automated dashboards for various teams which answers business questions using data warehouse

Eyeota logoEY

Data Science Manager

Eyeota

Jan 2021 - Aug 2021 (7 months)

● Migrated the legacy stack for Modeling as a service to an entirely new data science stack. This system has the capability to create hundreds of look alike models in an automated fashion using the latest open-source technologies in Data Science and Machine learning
● Eyeota Translate – The goal of this project is to predict the same user accessing the internet or a website from different devices.

NI

Data Scientist

NIAT

Sep 2011 - Aug 2017 (5 years 11 months)

* Providing Business Intelligence by automating the data processing and securely sharing visual dashboards
* Forecasting the grades of students in advance to identify who requires help in early stages of course work
* Model to classify allocation of students to different aeronautical streams like Mechanical, electrical,electronics, weapon systems etc.

upgrad logoUP

Data Scientist

upgrad

Sep 2017 - Nov 2018 (1 year 2 months)

● Building machine learning models to predict the assignments which will come for revaluation
● Predicting the student placements before enrollment to the course to ensure high success rate of the programs

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