
Sujata Kumbhar
@sujatakumbhar
Data Analyst Intern at TechnoSignia Software Training Institute who developed a Streamlit app for automatic skill extraction from job descriptions.
What I'm looking for
At TechnoSignia Software Training Institute, I completed a Data Analyst & Data Science internship with hands-on projects and technical training. I worked on practical data-focused assignments under the guidance of Nivedita Patil.
I developed an automatic skill extraction application using Python, Pandas, and NLTK to process job descriptions from the Monster India Job Dataset. I built and tested a local Streamlit application and structured extracted skills into a dataset for further analysis.
For my Credit Card Fraud Detection project, I built and compared Logistic Regression, Decision Tree, Random Forest, and KNN models, evaluating their performance using accuracy. I'm seeking an entry-level Data Analyst, Junior Data Analyst, or MIS role.
Experience
Work history, roles, and key accomplishments
Data Analyst & Data Science Intern
TechnoSignia Software Training Institute
Jun 2026 - Sep 2026 (3 months)
Completed a 3-month internship involving hands-on projects, technical training, and industry-oriented learning activities. Worked on practical data-focused assignments and projects under the guidance of Nivedita Patil.
Education
Degrees, certifications, and relevant coursework
Shardabai Pawar Women's College
Bachelor of Business Administration (Computer Applications), Business Administration (Computer Applications)
Grade: 57.60%
Completed Bachelor of Business Administration (Computer Applications) with 57.60%.
Shardabai Pawar Women's College
Higher Secondary Certificate, General Studies
Grade: 71.67%
Completed Higher Secondary Certificate (H.S.C) with 71.67%.
Sanjeevani Vidyalaya
Secondary School Certificate, General Studies
Grade: 80.60%
Completed Secondary School Certificate (S.S.C) with 80.60%.
Amity Online University
Master of Computer Applications, Computer Applications
Pursuing Master of Computer Applications (MCA) with an academic break.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Salary expectations
Social media
Job categories
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