
Data Science with less than a year in 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 Analyst Graduate with experience in data collection, preprocessing, statistical analysis, and data visualization. Proficient in Python, R, SQL, Tableau, and Power BI for data manipulation and insights communication. Possessing foundational skills in machine learning concepts and database management.
Annasaheb Magar College Hadapsar
BBA-CA
August 1, 2020 – June 30, 2024
D.T.Patil Jr.College
HSC
June 1, 2017 – May 31, 2020
MedTourEasy
Data Analyst Trainee
August 1, 2024 – September 30, 2024
India
Fitness Tracking Watch
June 19, 2026 – Present
Developed and maintained services using Angular for the frontend and Python, SQL for the backend. Performance Optimization: Enhanced caching mechanisms and optimized SQL queries with stored procedures, significantly reducing API response times and improving bulk load performance. Internationalization: Performed language switching (English – Mandarin) for the China users. End to end modules like Balances, Reimbursement, Cost Generation, Transport Management etc. Order Optimizer: Introduced a machine learning-driven tool to enhance planning by suggesting, estimating quantities, and optimizing packaging timelines. Technical Stack: Frontend: Angular 12, HTML, CSS, Tableau, Power BI. Backend: Python, R, SQL.
Data Analyst Trainee
Unknown
June 1, 2026 – Present
API Bootcamp
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project and experience show a focus on data analysis and some exposure to machine learning, which aligns with a Data Science role. However, the breadth of experience is limited to a single internship and one project, suggesting a need for more diverse exposure to different problem domains and team structures. The target role 'Data Science' is ambitious given the 'Data Analyst Trainee' experience and BBA-CA degree, indicating a potential gap in formal data science education or extensive practical experience.
Soft Skills & Operational Fit
The candidate's psychometric test score (247/500) suggests potential areas for development in logical reasoning, work attitude, stress handling, or team collaboration. The English test score (76/100) indicates good communication clarity and professional language usage.