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Bharat Mohan Thakur
Genai MLops Expert | NLP and Deep Learning Specialist | Proficient in Transformers, Spacy, NLTK | Innovator in AI Solutions |LLM training| LLM deployment| RAG
About
Bharat Mohan Thakur is a highly skilled Team Lead Data Science Manager with over 5 years of experience in the IT industry. He possesses comprehensive knowledge of Machine Learning, Artificial Intelligence, Statistical Modeling, Data Analysis, Predictive Analysis, Data Manipulation, and Data Mining. Bharat is proficient in building robust Machine Learning, Deep Learning models, Recurrent Neural Networks (RNN), LSTM using Tensor Flow and Keras. He is adept in analyzing large datasets using Apache Spark, PySpark, Spark ML, and Amazon Web Services (AWS). Bharat has extensive experience in performing Feature Selection, Linear Regression, Logistic Regression, k-Means Clustering, Classification, Decision Tree, K-Nearest Neighbors (KNN), Random Forest, and Gradient Descent, Neural Network algorithms to train and test huge datasets. He is an expert in Python data extraction and data manipulation and has extensively worked with Python libraries like NumPy, Pandas, and Matplotlib for data analysis. Bharat has also worked on other machine learning libraries such as Seaborn, SciKit learn, SciPy for machine learning and is familiar working with TensorFlow, NLTK for deep learning. Bharat has experience in text analytics, information extraction, and has extensively used glove, bert embedding for classification and ner tasks. He has experience deploying ML systems using Flask, Gunicorn, Docker, and Kubernetes. Currently, Bharat is working as a Team Lead Data Science Manager at Torcai Digital Media Private Limited, where he manages a team of data scientists. He is working on real-time bidding and implementing data using Spark, Druid, and Aerospike. Bharat applies data science solutions for real-time bidding using classic machine learning and deep learning. He has developed end-to-end data pipelines using PySpark, Kafka, and Druid. Bharat has created real-time dashboards using Superset and Druid and has handled the data flow of 500 GB data per day. He has also created classification and regression models using PyTorch and deployed them for real-time inference of less than 25 ms. Bharat has worked as a Machine Learning Researcher at SirionLabs and as a Software Engineer at Alten Calsoft Labs. He has a Bachelor of Engineering (B.E.) degree in Mechanical Engineering from NMAM Institute of Technology (NMAMIT). He has also completed his secondary education from the School of Creative Learning and Higher Secondary Education from Resonance Eduventures
Education Overview
• nmam institute of technology
• resonance eduventures limited
• national institute of open schooling
• school of creative learning
Companies Overview
• infomo global
• synchronoss technologies
• sirionlabs
• alten calsoft labs
• infosys
Experience Overview
7.5 Years
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Skills
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Aerospike
Algorithms
Amazon Elastic MapReduce (EMR)
Amazon Web Services (AWS)
analytics
Apache Spark
Artificial Intelligence (AI)
Automation
BERT
business intelligence
Business Intelligence (BI)
Data Analysis
Data Cleaning
Data Mining
Data Science
Data Scientist
Data Visualization
Deep Learning
Docker
eda
Education
Excel
Flask
forecasting
Information Retrieval
Inventory Management
Kafka
Keras
Large language models (LLM)
LESS
linux
Machine Learning (ML)
Matplotlib
Mechanical Engineering
Microsoft Excel
MLOps
MongoDB
Natural Language Processing (NLP)
NLTK
NumPy
operations
optimization
Pandas
Pandas (Software)
PostgreSQL
pyspark
Python
Pytorch
Research
Research Scientist
SaaS
Sales
Scikit
Scikit-Learn
scipy
Seaborn
Software Engineer
SQL
statistics
Tensorflow
Text Classification
ui
Web
Windows
Word2Vec
XGBoost
Contact Details
Email (Verified)
bhaXXXXXXXXXXXXXXXXXXXXXXXomMobile Number
+91XXXXXXXX97Education
nmam institute of technology
Bachelor of Engineering (B.E.)
2012 - 2016
resonance eduventures limited
Higher secondary education
2009 - 2012
national institute of open schooling
higher secondary
2009 - 2011
school of creative learning
secondary education
2005 - 2009
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