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I'm Rupam Mondal, a data-focused engineer turning messy datasets into products that ship. I care about dependable analytics, ML-first applications, and automation that scales with teams. Focus: production-ready data pipelines, ML systems, and AI-powered copilots. Looking for: data/ML/AI engineering roles where I can deliver end-to-end analytics workflows and machine-learning products. |
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| Language | Proficiency | ||
|---|---|---|---|
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90% |
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60% |
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60% |
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30% |
| Database | Proficiency | ||
|---|---|---|---|
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90% |
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60% |
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60% |
| Tool | Proficiency | ||
|---|---|---|---|
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90% |
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90% |
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90% |
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90% |
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90% |
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60% |
| Framework | Workflow | Proficiency | ||
|---|---|---|---|
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90% |
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60% |
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60% |
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30% |
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30% |
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30% |
| Toolchain | Proficiency | ||
|---|---|---|---|
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60% |
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60% |
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60% |
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90% |
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60% |
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60% |
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60% |
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60% |
| Cloud | Proficiency | ||
|---|---|---|---|
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60% |
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60% |
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🧠Built ML model to predict heart disease risk from clinical features
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🧹 Performed EDA, feature engineering , create ML-pipeline , ML-model training , ML-model evaluation , Model-inferencing
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ðŸ›
Python • Scikit-Learn • Pandas • Matplotlib • Streamlit -
🔗 Repo: Link
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🧠A comprehensive student attendance management system that leverages facial recognition technology to automate student attendance tracking.
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🧹 Student Form for registration
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student will fill his/her personal information and student face images
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student informations and enbeddings of students faces are temporarily stored in Google sheet
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🧹Admin Panel
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admin can control the opening and cloasing of the student registration form , after filling up the form by all the students admin push the student informations (which are temporarily stored in google sheet) in database personal informations are stored in the supabase(RDB) and embedding are stored inside Qdrant(VDB) , during pushing information student get their enrollment number in thier email (which they give during fill up the form)
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admin can create new depaertment(dep_id,dep_name,dep_hod_name,dep_hod_mail) , update department information
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admin can select duration(1-month) and department , during this duration student attendence list with %-of attendence of each student will send to the respective HOD's mail
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🧹Give Attendence
- student stand infront of camera it autometically detect face after that generate embedding and search (semantic searching : cosine similarity) in Qdrant database and and show the Student name , deparment name of the closest similer embedding if the student press 'confirm' button then his/he attendence will be recorded , if (face not recognized / other students information retrived) then student should press cancel button and contact with the admin(technical team of college)
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ðŸ›
Python • Pytorch • Supabase(RDB) • Qdrant(VDB) • Google Sheet • Streamlit -
🔗 Repo: Link
| Badge | Certification | Platform | Year | Proof |
|---|---|---|---|---|
| Snowflake Data Warehouse | Snowflake | 2025 | coming soon | |
| Google Advanced Data Analytics Professional Certificate | Coursera | 2025 | coming soon | |
| Deep Learning Specialization | Coursera | 2025 | coming soon | |
| Artificial Intelligence Fundamentals | IBM | 2025 | coming soon | |
| Fandamentals of Agents | Hugging Face | 2025 | coming soon |
"Data is powerful — but only for those who know how to read it."