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Data Science with less than a year in Data Analysis & Statistical Modeling
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Analytical and detail-oriented Statistics postgraduate with strong problem-solving and data analysis skills. Proficient in Python, SQL, Power BI, and statistical modeling. Passionate about leveraging analytical thinking to understand business requirements, optimize processes, and deliver technology-driven solutions.
University of Mumbai
Master of Statistics · Statistics
August 1, 2024 – June 30, 2026
Sir Parashurambhau College
B.Sc Statistics · Statistics
August 1, 2021 – June 30, 2024
Mahatma Basweshwar Science College
Senior Secondary (XII)
June 1, 2021 – May 31, 2021
Directorate of Economics and Statistics
Data Analytics Intern
May 1, 2025 – June 1, 2025
Mumbai, Maharashtra, India
Excelerate
Data Visualization Intern (Virtual)
May 1, 2025 – June 1, 2025
India
Excelerate
AI Data Analyst Intern (Virtual)
February 1, 2025 – March 1, 2025
India
Life Expectancy Dynamics and Insurance Risk Analysis
June 24, 2026 – Present
Worked with multi-dimensional variables including adult and infant mortality, alcohol consumption, immunization coverage, BMI, healthcare expenditure, and GNI per capita. Performed data cleaning, preprocessing, and exploratory data analysis (EDA) to identify trends, patterns, and anomalies across countries. Applied statistical techniques such as correlation analysis, hypothesis testing, and regression modeling to evaluate influencing factors. Assessed the impact of health and socio-economic indicators on life expectancy at birth and for populations above age 60. Built predictive regression models to estimate life expectancy and support insurance risk assessment.
Statistics for Social Science using R
Unknown
June 1, 2026 – Present
Data Analytics Certification
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic background and internship experiences show a clear focus on data analysis and statistics, which aligns with a Data Science target role. The projects and internships demonstrate a proactive approach to gaining practical experience. However, the diversity of projects is somewhat limited, primarily focusing on statistical analysis and risk assessment. While the candidate has interned at two different organizations, the roles are quite similar in nature (Data Analytics, Data Visualization, AI Data Analyst), indicating a focused but potentially narrow exposure to different problem domains or team cultures. The virtual internships might also limit exposure to in-person team dynamics.
Soft Skills & Operational Fit
The candidate lists strong soft skills such as Analytical Thinking, Problem-Solving, Communication, Team Collaboration, Attention to Detail, Adaptability, and Growth Mindset. These align well with the demands of a Data Science role, which often requires not just technical prowess but also the ability to articulate findings and work effectively in a team. The internship experiences, particularly the one with government officials, suggest an ability to operate in structured environments and contribute to data-driven decision-making processes.