
Python | Cloud | ML Platform
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
mlops-club
Data Scientist
June 20, 2026 – Present
zenml-io
Data Scientist
June 20, 2026 – Present
files-api
June 26, 2025 – Present
Scalable Rest API using FastAPI to do CRUD operations using AWS S3. Deployed using AWS API Gateway and AWS Lambda.
View Projectpython-cookiecutter-template
May 30, 2024 – September 30, 2024
Python Cookiecutter Project Template Generation using GitHub CLI and GitHub Actions CI/CD.
View Projectpython-packaging
May 11, 2024 – June 1, 2024
Learning how to properly package Python code.
View ProjectCV-JD-Matching
September 17, 2023 – September 18, 2023
Extracting details from Resume(CVs) and matching with Job Description(JDs) using pretrained model like DistilBERT and ranking them using cosine similarity.
View Projectpython-course-cookiecutter-v2
August 19, 2023 – June 14, 2024
python-course-cookiecutter-v2 — GitHub repository
View ProjectFake-News-Classification-using-RNN-and-LSTM
July 30, 2023 – August 29, 2023
Implementing various NLP techniques like RNN, LSTM, and GRU for Fake News Classification
View ProjectNLP-with-Tensorflow
June 13, 2023 – November 14, 2023
My Notes from the book Natural Language Processing with TensorFlow, 2nd-ed. by Thushan Ganegedara
View ProjectTopic-Modelling-Using-RACE-Dataset
May 22, 2023 – July 29, 2023
A Project on Topic Modeling using alogoriths like LSA/LSI, LDA, NMF on RACE dataset
View ProjectMedical-Embeddings-and-Clinical-Trial-Search-Engine
April 11, 2023 – June 28, 2023
The Project aims to train SkipGram and FastText Models on COVID-19 Clinical Trials Dataset and builds a Search Engine where user can type any COVID-19 related keyword and it presents all the top n similar results from the dataset
View ProjectMachine-Learning-with-Pytorch-Scikit-Learn
April 11, 2023 – June 25, 2023
My Notes from Machine Learning with PyTorch and Scikit-Learn by Sebastian Raschka
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and demonstrate a strong interest in data science and MLOps. The listed experience at 'mlops-club' and 'zenml-io' as 'Data Scientist' aligns well with the target role. However, the lack of detailed descriptions for these experiences and the 'experienceLevel' being 0 make it difficult to fully assess cultural fit and real-world collaboration experience. The diversity of projects indicates a proactive learning attitude.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, providing no insights.