$$$
{{ $t($store.state.user.experience_value_in_dollars) }}
Senior
{{ $t($store.state.user.experience_search_name) }}
0
jobs
Data Scientist with 8 years of experience in SaaS product and FIntech
Tamajyoti Dhar
,
dhar, United Kingdom
Experience
Other titles
Skills
I'm offering
Data Scientist with ~8 years of experience in ML & analytics space. Expertise in Neural Networks, Production models and NLP with exposure to advanced
frameworks and technologies. Leadership experience of 3.5 years with
experience of setting up analytics function and also defining data strategies.
Extensive expertise in data analysis, visualisation, data strategy and deep learning
frameworks and technologies. Leadership experience of 3.5 years with
experience of setting up analytics function and also defining data strategies.
Extensive expertise in data analysis, visualisation, data strategy and deep learning
Markets
United States
(Remote
only)
United Kingdom
France
(Remote
only)
Germany
(Remote
only)
Lithuania
(Remote
only)
Denmark
(Remote
only)
Norway
(Remote
only)
Sweden
(Remote
only)
Finland
(Remote
only)
Links for more
Once you have created a company account and a job, you can access the profiles links.
Industries
Language
English
Fluently
Ready for
Larger project
Ongoing relation / part-time
Available
My experience
2019 - ?
job
Senior Data Scientist
Complyadvantage.
● Working on creating a knowledge graph to identify people with adverse media
information and disambiguate them DB: SQL, Presto, Hive, SPARQL
● Developing NLP models to identify relevant information from millions of texts using
LSTM and RNN structures and flair embeddings Databases: PostGres, MySQL,
● Built an NER model to identify annotations from text using Bi-LSTM with CRF Teradata, Redshift, Elastic
(conditional random fields).
Search
● Developing algorithms using CNN for entity matching and disambiguation with presently improving the system by 40% Frameworks:Flask, Swagger,
● Part of product roadmap steering committee for developing product features
TensorFlow, Keras, Pytorch, R
information and disambiguate them DB: SQL, Presto, Hive, SPARQL
● Developing NLP models to identify relevant information from millions of texts using
LSTM and RNN structures and flair embeddings Databases: PostGres, MySQL,
● Built an NER model to identify annotations from text using Bi-LSTM with CRF Teradata, Redshift, Elastic
(conditional random fields).
Search
● Developing algorithms using CNN for entity matching and disambiguation with presently improving the system by 40% Frameworks:Flask, Swagger,
● Part of product roadmap steering committee for developing product features
TensorFlow, Keras, Pytorch, R
Postgres, Search, BEE, Swagger, Redshift, Keras, Teradata, NLP, Hive, Mysql, Flask, Algorithms, Tensorflow, SAS, VBA, R, Sql
2018 - 2019
job
Data Scientist
Bluejeans.
● Built a topic classification and sentiment modelling for user comments on call feedback D3.js
using Keras LSTM and Gensim LDA achieving model accuracy of ~78% and model
coherence score of 0.74 Deployment: Git, Docker,
● Built a fraud detection algorithm to detect scheduling fraud using text similarity and user Kubernetes, CI/CD
pattern mining
● Built a load forecasting algorithm to identify anomalous load across the various POPs
(point of presence) on a 30 min sliding window with an accuracy of ~82%
● Lead a team of 3 analysts to deliver business insights and recommendations to the AREAS OF EXPERTISE
stakeholders
● Set the strategy and UX plan to produce data science and data visualization such as
charts, dashboards to communicate findings and actionable recommendations clearly and Machine Learning Models,
effectively with the CTO's office Knowledge Graphs, NLP, Text
Tech Stack: Python, Redshift, MongoDB, Kafka, MemSQL, Tableau, Periscope
analytics and Neural
networks, Anomaly and Fraud
Belong.co, Bangalore -- Analytics Lead
Detection systems,
using Keras LSTM and Gensim LDA achieving model accuracy of ~78% and model
coherence score of 0.74 Deployment: Git, Docker,
● Built a fraud detection algorithm to detect scheduling fraud using text similarity and user Kubernetes, CI/CD
pattern mining
● Built a load forecasting algorithm to identify anomalous load across the various POPs
(point of presence) on a 30 min sliding window with an accuracy of ~82%
● Lead a team of 3 analysts to deliver business insights and recommendations to the AREAS OF EXPERTISE
stakeholders
● Set the strategy and UX plan to produce data science and data visualization such as
charts, dashboards to communicate findings and actionable recommendations clearly and Machine Learning Models,
effectively with the CTO's office Knowledge Graphs, NLP, Text
Tech Stack: Python, Redshift, MongoDB, Kafka, MemSQL, Tableau, Periscope
analytics and Neural
networks, Anomaly and Fraud
Belong.co, Bangalore -- Analytics Lead
Detection systems,
Analytics, Ci / CD, Visualization, Science, Redshift, Office, D3.js, Keras, Cto, NLP, Kafka, Python, Tableau, Kubernetes, Deployment, Forecasting, MongoDB, UX, Docker, Data Science, Machine learning, Git
My education
2010
-
2012
Welingkar Institute of Management
Post Graduate Diploma in Management, Operations
Post Graduate Diploma in Management, Operations
Tamajyoti's reviews
Tamajyoti has not received any reviews on Worksome.
Contact Tamajyoti Dhar
Worksome removes the expensive intermediaries and gives you direct contact with relevant talent.
Create a login and get the opportunity to write to Tamajyoti directly in Worksome.
are ready to help you
and get specific bids from skilled talent in Denmark