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Data Science with 1+ years in Data Science & Statistical Analysis
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Detail-oriented and analytical Data Analyst with strong expertise in data science, statistical analysis, and data visualization. Proven ability to collect, clean, and interpret complex datasets to drive business insights and support data-driven decision-making. Skilled in Python, SQL, Excel, and data visualization tools like Power BI and Tableau. Adept at building predictive models and presenting actionable insights to stakeholders. Eager to apply strong problem-solving and communication skills in a challenging data-driven environment.
S. S. P. M's College of Engineering
B.E. · Computer Science (AIML)
August 1, 2021 – June 30, 2025
Saraswati Vidyamandir Junior College
HSC · Science
N/A – May 31, 2020
Saraswati Vidyamandir Highschool
SSC
N/A – May 31, 2018
Deloitte (via Forage)
Data Analytics Internship
January 1, 2025 – December 31, 2025
India
YBI Foundation Private Limited
Data Science Internship
January 1, 2024 – December 31, 2024
India
Disease Prediction Web Application
January 1, 2021 – June 1, 2025
Successfully completed a final-year project: Developed a Disease Prediction Web Application.
Data Analytics
June 1, 2026 – Present
Data Visualization
June 1, 2026 – Present
Cultural Fit Analysis
The candidate shows a strong alignment with a data-driven culture, evidenced by their academic focus (AIML), internships in Data Analytics and Data Science, and relevant certifications. The project diversity is limited to one academic project, but the internships provide practical exposure. The breadth of skills covers core data science areas, indicating a proactive approach to learning and applying relevant technologies. The candidate's academic achievements and awards suggest a diligent and high-achieving individual.
Soft Skills & Operational Fit
The candidate's resume highlights problem-solving, critical thinking, and communication skills, which are crucial for data science roles. The descriptions of internships indicate an ability to work with datasets, generate insights, and present findings, suggesting a good operational fit for data-driven environments. However, without specific examples of collaboration or handling complex project challenges, the depth of these soft skills cannot be fully assessed.