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Data Science with less than a year in SQL, Python & Excel
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 with a strong foundation in SQL, Python, Excel, and Power BI. Skilled in cleaning, analyzing, and visualizing data to generate insights and support data-driven decision-making. Interested in collaborating on meaningful analytical work in fast-paced environments.
Dnyandeep College of Science and Commerce
Bachelor of Science · Information Technology
August 1, 2022 – June 30, 2025
Navbharat High School & Jr. College, Khed
Higher Secondary Certificate (HSC)
June 1, 2020 – May 31, 2022
Navjeevan High School, Shingari, Khed
Secondary School Certificate (SSC)
June 1, 2019 – May 31, 2020
EV Charging Session Analysis
November 1, 2025 – December 1, 2025
Analyzed EV charging session data across multiple cities. Performed SQL operations including DDL, DML, and DQL. Extracted insights using structured queries. Strengthened practical knowledge of database operations.
HR Data Analysis
October 1, 2025 – June 1, 2026
Developed an HR analytics dashboard to provide insights into workforce performance and trends. Performed data cleaning and preprocessing. Used MS Excel (Pivot Tables, formulas) for analysis. Designed an interactive dashboard for visualization.
Data Science Professional Certificate
Stalwarts Techpaathshala Pvt. Ltd. Software training institute in Mumbai, Maharashtra
July 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects show an interest in data analysis across different domains (HR, EV charging). The pursuit of a Data Science Professional Certificate aligns with a growth mindset. However, the lack of professional experience and diverse project types limits the assessment of cultural fit in a dynamic work environment.
Soft Skills & Operational Fit
The candidate's resume indicates participation in extracurricular activities, suggesting a proactive attitude. However, without specific work experience or detailed project descriptions, it is difficult to assess operational fit, teamwork, or problem-solving skills in a professional context.