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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
Detail-oriented and motivated individual with a background in statistics and research, experienced in data analysis, interpretation, and problem-solving. Seeking an opportunity to apply analytical skills to solve real-world problems and contribute effectively to a team.
Modern College Of Arts, Science and Commerce, Shivajinagar
Master's of Science · Statistics
July 1, 2024 – Present
Fergusson College, Pune
Bachelor's of Science · Statistics, Mathematics & Geology
July 1, 2021 – May 1, 2024
Reserve Bank of India, Mumbai
Summer Intern
December 1, 2024 – March 1, 2025
Mumbai, Maharashtra, India
Research Assistant - Statistical Analysis (Sweeteners)
June 24, 2026 – Present
Applied time series forecasting to predict future sugar consumption trends. Conducted EDA to identify patterns in natural vs alternative sweetener usage. Designed visual representations (charts & graphs) to communicate insights effectively. Contributed to data-driven interpretation in a published research study.
Analysing Blood Abnormalities using Complete Blood Count Data: A Statistical Approach
January 1, 2023 – December 31, 2023
Analysed CBC datasets to uncover patterns and abnormalities in blood profiles. Used R and statistical methods to identify correlations and significant differences. Translated complex medical data into clear analytical insights and visual representations.
Cultural Fit Analysis
The candidate's academic projects and internship show a strong inclination towards research and data-driven problem-solving. The pursuit of a Master's in Statistics further solidifies their commitment to the field. The projects cover diverse areas like public health (blood abnormalities), economics (inflation trends), and consumer science (sweetener usage), indicating adaptability and a broad interest in applying statistical methods. However, the lack of industry experience beyond an internship and limited exposure to collaborative software development workflows might require some adjustment to a fast-paced corporate environment.
Soft Skills & Operational Fit
The candidate demonstrates soft skills such as leadership, event management, writing, public speaking, and time management. These indicate a potential for good team collaboration and project management, which are valuable in a data science role. The academic project diversity suggests an ability to adapt to different problem domains.