Jalaj Gautam
@jalajgautam
Final-year BCA student skilled in Python, Django, ReactJS, data analytics and ML.
What I'm looking for
I am a final-year BCA student who builds practical, data-driven and user-focused applications using Python, Django, ReactJS and Power BI. I have hands-on project experience across AI/ML, data analytics and full-stack development, with a focus on reliable model performance and responsive UI.
Notable projects include a Loan Approval Prediction System (85% expected accuracy) where I handled data cleaning, feature engineering and model building with scikit-learn, and an Advanced Power BI Dashboard delivering real-time KPIs through SQL and Excel-backed ETL. I also designed a responsive Job Portal using ReactJS, Tailwind and Firebase with role-based authentication and real-time features.
I bring strong problem-solving and analytical skills, a habit of writing maintainable backend services (Django/Flask), and experience deploying interactive dashboards and full-stack applications. I seek opportunities to apply ML and analytics to business problems while continuing to grow in full-stack product development.
Experience
Work history, roles, and key accomplishments
Final-year BCA Student
Self
Developed multiple projects in AI/ML, data analytics, and full-stack development including a Loan Approval Prediction system, an advanced Power BI dashboard, and a responsive job portal, emphasizing data-driven solutions and user-friendly interfaces.
Education
Degrees, certifications, and relevant coursework
Guru Gobind Singh Indraprastha University
Bachelor of Computer Applications, Computer Applications
2022 -
Grade: 54.77%
Pursuing Bachelor of Computer Applications (BCA) at KCC (affiliated with GGSIPU), focusing on Python, Django, ReactJS, SQL, and Power BI; expected to complete degree.
M.P.S.M Grace Convent Sr. Sec. School
Intermediate, Intermediate
2020 - 2021
Grade: 74.33%
Completed Intermediate (Class 12) with a focus reflected by coursework, achieving 74.33%.
M.P.S.M Grace Convent Sr. Sec. School
High School, High School
2018 - 2019
Grade: 74.5%
Completed High School (Class 10) attaining 74.5% marks.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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