sudeep1610/ResumeBot
0.2B • Updated • 15
topic stringlengths 3 21 | answer stringlengths 40 300 | questions listlengths 3 6 |
|---|---|---|
Name | His name is Sudeep. He is a Data Analyst and M.Sc. Data Science student based in Bengaluru. | [
"What is the candidate's name?",
"Who is the candidate?",
"Who is this resume about?",
"Introduce the candidate.",
"Who are you?"
] |
Role | Sudeep is a Data Analyst with a focus on Data Science. | [
"What is the candidate's professional title?",
"What role is the candidate looking for?",
"What job does the candidate want?",
"What position is the candidate suited for?",
"What does the candidate do?"
] |
Location | Sudeep is based in Bengaluru, Karnataka. | [
"Where is the candidate located?",
"Where does the candidate live?",
"Which city is the candidate from?",
"Where is the candidate based?"
] |
Email | You can email Sudeep at shettysudeep27@gmail.com. | [
"What is the candidate's email?",
"How can I contact the candidate?",
"What is the candidate's email address?",
"How do I reach the candidate?"
] |
LinkedIn & GitHub | Sudeep's LinkedIn is linkedin.com/in/sudeep-shetty-0aa23a1b0 and his GitHub is github.com/sudeepshetty4247-stack. | [
"What is the candidate's LinkedIn?",
"What is the candidate's GitHub?",
"Does the candidate have a GitHub profile?",
"Where can I see the candidate's work online?"
] |
Profile | Sudeep is an M.Sc. Data Science student with a strong foundation in data analytics, business intelligence and machine learning. He turns raw data into actionable insights using Power BI dashboards, SQL-based analysis and Python. | [
"Tell me about the candidate.",
"Give a short summary of the candidate.",
"Describe the candidate's profile.",
"What is the candidate's background?",
"Summarize the candidate's resume."
] |
Why hire | Sudeep combines data analytics, business intelligence and machine learning skills with hands-on projects in Power BI, SQL, Python and AI, and he is passionate about solving business problems with data. | [
"Why should we hire the candidate?",
"What makes the candidate a good fit?",
"Is the candidate suitable for a data analyst role?",
"What are the candidate's strengths as a data analyst?"
] |
Career goals | Sudeep is passionate about using data to solve business challenges and enable data-driven decision-making. | [
"What are the candidate's career interests?",
"What is the candidate passionate about?",
"What are the candidate's career goals?",
"What motivates the candidate?"
] |
Experience summary | Sudeep has built analytical and AI-powered projects focused on decision support, predictive modeling and process optimization. | [
"What kind of projects does the candidate build?",
"What is the candidate's technical experience?",
"What is the candidate experienced in?"
] |
Education | Sudeep is pursuing an M.Sc. in Data Science at Dayananda Sagar University (2025-2027). He completed a Bachelor of Computer Applications (BCA) at Dr. B. B. Hegde First Grade College (2021-2024). | [
"What is the candidate's educational qualification?",
"What degrees does the candidate have?",
"What is the candidate's education?",
"What did the candidate study?",
"What is the candidate's highest qualification?"
] |
Masters | Sudeep is currently pursuing an M.Sc. in Data Science at Dayananda Sagar University, from 2025 to 2027. | [
"What is the candidate studying now?",
"Which university does the candidate attend?",
"Is the candidate doing a master's degree?",
"When will the candidate finish the M.Sc.?",
"Which college is the candidate studying in now?"
] |
BCA | Sudeep completed a Bachelor of Computer Applications (BCA) at Dr. B. B. Hegde First Grade College from 2021 to 2024. | [
"What bachelor's degree does the candidate have?",
"Where did the candidate do the BCA?",
"When did the candidate finish graduation?",
"Which college did the candidate graduate from?",
"What is the candidate's undergraduate degree?"
] |
PUC | Sudeep completed the Pre-University Course in Science at R N Shetty PU College, Kundapura, from 2019 to 2021. | [
"Where did the candidate complete PUC?",
"What did the candidate study in PU college?",
"Which PU college did the candidate attend?"
] |
SSLC | Sudeep completed SSLC at Sri Mookambika Public School in 2018-2019. | [
"Where did the candidate complete SSLC?",
"Which school did the candidate attend?",
"When did the candidate finish school?"
] |
Technical skills | Sudeep's technical skills are Python, SQL, Power BI, Excel, Data Analysis, Data Visualization and Business Intelligence. | [
"What technical skills does the candidate have?",
"What are the candidate's skills?",
"What tools does the candidate know?",
"List the candidate's technical skills.",
"What software does the candidate use?"
] |
Python & SQL | Sudeep knows Python and SQL. He built the Career AI Intelligence System with Python and PostgreSQL and does SQL-based analysis. | [
"What programming languages does the candidate know?",
"Does the candidate know Python?",
"Does the candidate know SQL?",
"What is the candidate's experience with Python?",
"Can the candidate code?"
] |
Power BI | Sudeep builds interactive dashboards in Power BI and Excel, using DAX and Power Query, for example the Smart Attendance Analytics System and the Prime Video Analytics Dashboard. | [
"Does the candidate know Power BI?",
"What data visualization tools does the candidate know?",
"Does the candidate have experience with dashboards?",
"Does the candidate know DAX?",
"What BI tools does the candidate use?"
] |
Machine learning & AI | Sudeep has a foundation in machine learning and has built AI projects such as the Career AI Intelligence System (NLP), AI Physio Fracture Detection System and an AI-Based Personalized Learning Strategy Recommendation System. | [
"Does the candidate know machine learning?",
"Has the candidate worked on AI?",
"What AI projects has the candidate done?",
"Does the candidate know NLP?"
] |
Soft skills | Sudeep's soft skills are analytical thinking, problem solving, communication, critical thinking, teamwork and time management. | [
"What soft skills does the candidate have?",
"Is the candidate a team player?",
"What are the candidate's strengths?",
"Is the candidate good at communication?",
"What personal qualities does the candidate have?"
] |
Projects | Sudeep's main projects are the Career AI Intelligence System, the Smart Attendance Analytics System and the Prime Video Analytics Dashboard. | [
"What projects has the candidate completed?",
"List the candidate's projects.",
"What has the candidate built?",
"What are the candidate's main projects?",
"Tell me about the candidate's projects."
] |
Career AI project | The Career AI Intelligence System is an AI-powered resume analysis platform for career prediction, ATS evaluation and skill-gap identification that generates personalized career roadmaps. It uses Python, PostgreSQL, React and NLP. | [
"What is the Career AI Intelligence System?",
"What is the candidate's best project?",
"What is the candidate's most relevant project?",
"Tell me about the career AI project.",
"What technologies were used in the Career AI Intelligence System?"
] |
Attendance project | The Smart Attendance Analytics System is a Power BI dashboard that tracks student performance, eligibility status and attendance deficits, with automated reporting and KPI monitoring. It uses Power BI, Excel, DAX and Power Query. | [
"What is the Smart Attendance Analytics System?",
"Tell me about the attendance project.",
"What technologies were used in the attendance project?",
"What does the attendance dashboard do?"
] |
Prime Video project | The Prime Video Analytics Dashboard analyzed 9,651+ Prime Video titles to find trends in genres, ratings and release years. It was built with Power BI and Excel. | [
"What is the Prime Video Analytics Dashboard?",
"Tell me about the Prime Video project.",
"How many titles were analyzed in the Prime Video project?",
"What tools were used in the Prime Video project?"
] |
Additional projects | Sudeep's additional projects are the AI-Based Personalized Learning Strategy Recommendation System, Strategic Data Analysis for AtliQ Hardware, Samtrupthi Online Waste Food Management System, Smart Dustbin Monitoring System, AI Physio Fracture Detection System and Cloud Computing for Energy Systems. | [
"What other projects has the candidate done?",
"What additional projects has the candidate worked on?",
"Has the candidate done any healthcare project?",
"Has the candidate done any IoT project?",
"Has the candidate worked on cloud computing?",
"What is the AtliQ Hardware project?"
] |
Certifications | Sudeep's certifications are TechA Python Developer and Introduction to Data Mining from Infosys, Data Science Foundation and Prompt Engineering from Great Learning, and Certified Secure Computer User from EC-Council. | [
"What certifications does the candidate have?",
"List the candidate's certifications.",
"What courses has the candidate completed?",
"Does the candidate have any Infosys certificates?",
"Does the candidate have a prompt engineering certificate?",
"Is the candidate certified in cyber security?"
] |
Achievements | Sudeep won the Best Presentation Award at an Intercollegiate IT Fest in 2024 and successfully completed Tritiya Sopan in Scouts and Guides. | [
"What achievements does the candidate have?",
"Has the candidate won any awards?",
"What are the candidate's accomplishments?",
"Did the candidate win any competition?",
"Was the candidate in Scouts and Guides?"
] |
Hobbies | Sudeep's hobbies are solving Rubik's Cubes, exploring emerging technologies and continuous learning. | [
"What are the candidate's hobbies?",
"What does the candidate do in free time?",
"What are the candidate's interests outside work?",
"Can the candidate solve a Rubik's Cube?"
] |
Work experience | Sudeep's resume does not list any job or internship yet. His experience comes from his academic and personal projects. | [
"What work experience does the candidate have?",
"Has the candidate done any internships?",
"Where has the candidate worked?",
"Does the candidate have job experience?",
"Which companies has the candidate worked for?"
] |
YAML Metadata Warning:The task_categories "text2text-generation" is not in the official list: text-classification, token-classification, table-question-answering, question-answering, zero-shot-classification, translation, summarization, feature-extraction, text-generation, fill-mask, sentence-similarity, text-to-speech, text-to-audio, automatic-speech-recognition, audio-to-audio, audio-classification, audio-text-to-text, voice-activity-detection, depth-estimation, image-classification, object-detection, image-segmentation, text-to-image, image-to-text, image-to-image, image-to-video, unconditional-image-generation, video-classification, reinforcement-learning, robotics, tabular-classification, tabular-regression, tabular-to-text, table-to-text, multiple-choice, text-ranking, text-retrieval, time-series-forecasting, text-to-video, image-text-to-text, image-text-to-image, image-text-to-video, visual-question-answering, document-question-answering, zero-shot-image-classification, graph-ml, mask-generation, zero-shot-object-detection, text-to-3d, image-to-3d, image-feature-extraction, video-text-to-text, keypoint-detection, visual-document-retrieval, any-to-any, video-to-video, other
📄 ResumeBot dataset
Question–answer pairs about Sudeep's resume, used to fine-tune sudeep1610/ResumeBot.
Files
| File | Rows | Description |
|---|---|---|
resume_qa_dataset.csv |
353 | topic, question, answer, split (train / test) |
resume_facts.json |
28 | Each resume fact with its answer and the base questions written for it |
How it was built
- The resume was split into 28 facts (education, skills, each project, certifications, achievements, and more). Every answer is copied from the resume; nothing is invented.
- For each fact, several natural questions were written (e.g. "What are the candidate's skills?", "What tools does the candidate know?").
- Every question was automatically rewritten in three styles (the candidate, Sudeep, he/his).
- One reworded question per fact was held out as an unseen test set (26 questions).
Example
| question | answer |
|---|---|
| What are Sudeep's technical skills? | Sudeep's technical skills are Python, SQL, Power BI, Excel, Data Analysis, Data Visualization and Business Intelligence. |
| Where did he do the BCA? | Sudeep completed a Bachelor of Computer Applications (BCA) at Dr. B. B. Hegde First Grade College from 2021 to 2024. |
Load it
from datasets import load_dataset
ds = load_dataset("sudeep1610/resumebot-dataset")
print(ds)
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