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#Data Scientist ,#Instructor & #Enthusiast having total experience of Working in Automation Industry and now currently working as an Mentor in Data Science Domain and also Active participator of Analytics Vidhya , MachineHack , Driven Data and Kaggle . My GitHub :- https://github.com/Biswajit7890. Linkedin:-https://www.linkedin.com/in/biswajitroy7890/
Netaji Subhas Open University
Bachelor's degree, Computer Programming, Specific Applications
N/A – Present
Stealth Startup
Co-Founder & CPO
May 1, 2023 – Present
India · Hybrid
Metapix
AI Fellow
May 1, 2023 – January 1, 2024
Hero Vired
Data Science Teaching Assistant
March 1, 2022 – March 1, 2023
datazeit
Data Scientist
February 1, 2022 – March 1, 2022
Emerging India Analytics
AI & ML Trainer
September 1, 2021 – August 1, 2022
India
iNeuron.ai
Data Science Intern
May 1, 2021 – August 1, 2021
ISGPP-II WBP&RD
IT Mentor
April 1, 2017 – January 1, 2022
On-site
Honeywell
System Opeartor
October 1, 2011 – June 1, 2016
West Bengal, India
Languagae Translation From Scratch with Transformers Encoder & Decoder
January 1, 2022 – January 1, 2022
i made an small initiative on #transformers how we can build language translation from scratch with using Torchtext TransformerEncoder, TransformerDecoder.Now this notebook is implemented Currently with no bugs .Now we can tune your Encoder Layer, Decoder layer ,MultiheadedAttention heads.
Supervised Graph Neural Network classification
December 1, 2021 – December 1, 2021
i tried to build a classification ML algorithm with Supervised graph classification with Deep Graph CNN with the help of StellarGraph Machine Learning Library. Now its all about Nodes , Edges & Graph labels which is to be predicted .Dataset is of Protein Structure whether to decide Enzyme or Not.
Internship on IOT with Machine Learning
May 1, 2021 – Present
This project is ongoing .As this internship covers the integration with IOT DATA for Time Series Prediction where iot used are for Agricultural purpose such as Temperature, Humidity, light, co and gas sensor . For Modeling job, Fbprophet, sarima, arima, Xgboost , Greykite was used but Fbprohet came good and all codes are in modular approach and deployment is done with git and Heroku platrform . CI/CD integration is also performrd with github action
Internship on Text Minning and Text Classification with Python
February 1, 2021 – April 1, 2021
This was an an Text Classification .Performed Detail EDA on text with plotly and Seaborn , replaced incorrect words with correct words by Spellcorrector and used T-SNE charts to know the embedded words performed Tf-idf and countvectorizer to convert text to vector for classification model and then applied xgboost, LIghtBGM & CatBoost for machine learning classification .Catboost came good model
Internship on Employee Promotion Classification with Python Machine Learning
November 1, 2020 – December 1, 2020
This was an internship on Python Machine Learning Classification , the dataset that is used is Employee HR dataset to predict whether the employee is eligible for promotion . performed EDA with plotly , seaborn and matplotlib to know the insights of data and computed missing values with KnnImputer and MiceImputation , converted categorical data to ordinal variable and also some other to dummy variable . Performed diiferent models such as Knn. Random Forest, Decision Tree, SVR, GradientBoostingRegressor, Xgboost, Lightbgm and Catboost . But Xgboost came with good accuracy and also reduced bias from the model with AI Fairness 360
NLU Notebooks with Deep Learning & HuggingFace model
June 1, 2020 – September 1, 2020
Few Notebooks are being shown on various activity such Question Answering, Language Transalation, Next Word Prediction , Abstractive Summarizer , Extractive Summarizer , Custom Ner, Fill in the blanks with various Huggingface models such as , Bert, DistillBert, Pegasus, T5, Xlnet, Roberta, Alberta,BertMaskedLM , GPT-2, XLM
ChatBot with Deployment Chatterboat
May 1, 2020 – May 1, 2020
This is an Chatbot on Covid entities with Chatterbot and Built an UI for user input
Credit Card Detection with GCP & Kubernates
April 1, 2020 – May 1, 2020
This is an Deployment Repo where i made an Interactive webpage and made a Docker container for whole project and deployed in GCP with kubernates and creating cluster node .
ChatGPT Prompt Engineering for developers
DeepLearning.AI
June 25, 2026 – Present
Build Better Generative Adversarial Network
DeepLearning.AI
June 25, 2026 – Present
MLOPS
iNeuron.ai
June 25, 2026 – Present
Introduction to Programming Using Python
Kaggle
June 25, 2026 – Present
Certificate program in contract management (MOOC)
Coursera
June 25, 2026 – Present
Certificate program in Public Procurement(MOOC)
Coursera
June 25, 2026 – Present
Advanced SQL
Kaggle
June 25, 2026 – Present
Intro to SQL
Kaggle
June 25, 2026 – Present
Certification in ADV NLP,Object Detection & Deep Learning
iNeuron.ai
June 25, 2026 – Present
Data Science & Analytics
Ivy Professional School
June 25, 2026 – Present
Cultural Fit Analysis
The candidate demonstrates a strong passion for AI/ML through numerous personal projects and certifications. The diverse range of projects, from language translation to graph neural networks and IoT, indicates a broad interest and willingness to explore different domains within AI. The target role is Computer Vision, and the candidate has relevant experience (e.g., 'AI Makeup, skin Analysis' at Metapix, and general deep learning background). The co-founder role suggests an entrepreneurial spirit, which can be a good cultural fit for innovative environments. However, the descriptions could be more polished for a senior role.
Soft Skills & Operational Fit
The candidate's project descriptions, while detailed in technical aspects, sometimes lack conciseness and professional phrasing. The experience as a Co-Founder and CPO, along with teaching roles, suggests leadership potential and an ability to work in diverse environments. However, without psychometric test results, a full assessment of work attitude, stress handling, and team collaboration is not possible.