Data Science with less than a year in machine learning, data analysis & visualization
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data-driven Computer Science undergraduate skilled in machine learning, data analysis, and visualization. Experienced in building ML pipelines and dashboards. Seeking opportunities in Data Science or Data Analytics to solve real-world problems.
Matoshri College of Engineering and Research Centre
B.E. · Computer Science and Engineering
August 1, 2023 – June 30, 2027
Bright Scholar Senior Secondary School
Class XII · CBSE
June 1, 2022 – May 31, 2023
Bright Scholar Senior Secondary School
Class X · CBSE
June 1, 2020 – May 31, 2021
R3 Systems
Data Analyst Intern
January 1, 2026 – February 1, 2026
Nashik, Maharashtra, India
ACM-W Chapter
Treasurer
January 1, 2024 – Present
Nashik, Maharashtra, India
Sales Analytics Dashboard
January 1, 2026 – January 1, 2026
Created an interactive dashboard with KPIs and pivot charts. Automated reporting using VBA.
StyleMate App
January 1, 2025 – January 1, 2025
Developed a fashion recommendation app.
Unfold Bharat Website
January 1, 2024 – January 1, 2024
Built a responsive website for Smart India Hackathon.
Hackathon Certificate
ACM Hackathon
January 1, 2025 – Present
Data Analyst Workshop
Unknown
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's participation in academic projects, a hackathon, and an organizational role (Treasurer for ACM-W Chapter) demonstrates initiative, teamwork, and a willingness to engage in technical communities. The diverse set of projects, from ML model development to web design and data dashboards, indicates a broad interest in applying technical skills, which can be beneficial for adaptability within a team. The objective aligns well with the target role, suggesting a focused and motivated individual.
Soft Skills & Operational Fit
The candidate's involvement as Treasurer for ACM-W Chapter and participation in a hackathon suggest strengths in team collaboration, problem-solving, and managing responsibilities. The project descriptions are clear and concise, indicating good communication skills. The candidate's academic background in Computer Science and Engineering provides a solid foundation for technical roles.