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Data Science with less than a year in Data Analysis & Predictive Modelling
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Highly motivated MSc Statistics candidate (Batch of 2026) with a strong foundation in predictive modelling, hypothesis testing, and quantitative analysis. Proficient in Python and R, with hands-on experience in academic projects involving large-scale data preprocessing and visualization. Eager to leverage exceptional analytical skills to drive transformative solutions.
Modern College of Arts, Science & Commerce
Masters of Science · Statistics
August 1, 2024 – June 30, 2026
Modern College of Arts, Science & Commerce
Bachelors of Science · Statistics
August 1, 2021 – June 30, 2024
Demandify Media
Data Analyst Intern
May 1, 2026 – Present
Pune, Maharashtra, India
Pursuellence GBS LLP
Intern
May 1, 2025 – June 30, 2025
Pune, Maharashtra, India
Unified Mentor
Data Analyst Intern
July 1, 2024 – August 31, 2024
India
Statistical Study on Polycystic Ovary Syndrome (PCOS)
June 1, 2026 – Present
Conducted detailed statistical analysis on a clinical dataset to identify key risk factors and patterns associated with PCOS. Performed exploratory data analysis, data cleaning, and visualization to understand variable relationships. Applied hypothesis testing, correlation analysis, and regression techniques to evaluate the impact of contributing factors. Interpreted results and generated insights to support data-driven healthcare understanding
Metro Ridership Prediction
June 1, 2026 – Present
Developed predictive models to analyse metro usage behaviour and fare willingness using real-world survey data. Applied multinomial logistic regression and statistical validation techniques to improve model accuracy. Performed feature selection, data preprocessing, and model evaluation. Created dashboards and visualizations to communicate insights and support decision-making.
Indian Tourism: Crash, Crisis & Comeback (2013-2023)
June 1, 2026 – Present
Analyzed Indian tourism trends (2013-2023) using statistical and time-series forecasting techniques on government tourism datasets. Applied ARIMA, SARIMA, and Holt's Exponential Smoothing models to forecast Foreign Tourist Arrivals (FTAs) and tourism revenue recovery. Conducted COVID-19 impact analysis using Chow Test, trend analysis, and anomaly detection to measure tourism sector recovery. Performed data cleaning, visualization, and statistical analysis in R to generate insights on tourism patterns, seasonality, and demographic shifts.
Lean Six Sigma Yellow Belt
Unknown
June 1, 2026 – Present
Power Bi Masterclass
Unknown
June 1, 2026 – Present
Data Analytics - Linkdeln
June 1, 2026 – Present
Excel using Al
Unknown
June 1, 2026 – Present
ML with Python
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects show a diverse application of statistical methods across different domains (tourism, healthcare, public transport), indicating adaptability and a broad interest in problem-solving. Their involvement in group projects and volunteer work (GyanSetu Project, NSS Winter Camp) suggests a collaborative mindset and community engagement. The target role of Data Science aligns well with their academic background and project experience, demonstrating a clear career path.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical thinking, logical reasoning, attention to detail, and teamwork, which are crucial for a Data Science role. Their experience in presenting insights and preparing reports suggests good communication skills. The Lean Six Sigma certification indicates an understanding of process improvement and quality, which can be beneficial in operational contexts.