SANIKA SANJAY PATIL
Data AnalystAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Entry-level Data Analyst with strong statistical analysis skills
Detail-oriented M.Sc. Statistics graduate (Shivaji University, 2026) with strong expertise in statistical analysis, regression modeling, probability distributions, time series analysis, and stochastic processes. Proficient in Python (pandas, NumPy, matplotlib, scipy) and R (ggplot2, dplyr, tidyverse) for data cleaning, exploratory data analysis, and hypothesis testing. Completed 3 applied research projects with real-world datasets. Cytel Fellowship recipient. Immediate joiner, actively seeking Data Analyst, Research Analyst, and Business Intelligence roles in Pune.
Shivaji University, Kolhapur
M.Sc. · Statistics
August 1, 2024 – June 30, 2026
Rajarshi Chhatrapati Shahu College, Kolhapur
B.Sc. · Statistics
August 1, 2021 – June 30, 2024
Maharashtra State Board
HSC
June 1, 2021 – May 31, 2021
Maharashtra State Board
SSC
June 1, 2019 – May 31, 2019
Teacher Readiness for NEP 2020 Implementation — Statistical Analysis
January 1, 2025 – December 31, 2025
Designed and conducted a structured survey of 150+ school teachers across Kolhapur district to evaluate NEP 2020 implementation readiness. Applied Chi-Square test, logistic regression, and descriptive statistics using R; identified 3 key barriers impacting readiness across government and private schools. Presented findings in a detailed statistical report with visualizations using ggplot2.
Agriculture Loans and Their Significance for Local Farmers
January 1, 2024 – December 31, 2024
Analyzed primary and secondary data from 200+ farmers in Maharashtra to study agricultural loan patterns and repayment behavior. Applied ANOVA, correlation analysis, and regression modeling in R to identify income-repayment relationships and key socioeconomic factors. Findings contributed to understanding credit access challenges among rural farming communities.
Impact of Artificial Intelligence on Employment
January 1, 2023 – December 31, 2023
Conducted descriptive and inferential statistical analysis on employment data to quantify AI-driven job displacement across 5 industry sectors. Used Python (pandas, matplotlib) for data cleaning, exploratory data analysis, and trend visualization. Applied time series techniques to project employment trends over a 5-year horizon.
Workshop: Statistical Exploration of Real Problems
Dept. of Statistics, Shivaji University
June 1, 2026 – Present
Cytel Fellowship
Cytel Inc.
January 1, 2024 – Present
Employability Skill Programme
Mahindra Pride Classrooms, Naandi Foundation
January 1, 2023 – Present
Cultural Fit Analysis
The candidate's academic projects show a diverse application of statistical methods across different domains (education, agriculture, economics), indicating adaptability. The target role of 'Data Analyst' aligns well with their educational background and project experience. Willingness to relocate and immediate availability also contribute positively to cultural and operational fit. However, the lack of professional work experience means cultural fit is primarily inferred from academic engagement and stated preferences.
Soft Skills & Operational Fit
The candidate demonstrates a strong academic foundation and a proactive approach to applying statistical knowledge through projects. The 'Employability Skill Programme' suggests an awareness of professional skills. However, the low English test score (39/100) indicates a potential weakness in professional communication clarity, which is crucial for a Data Analyst role involving report writing and stakeholder interaction. The psychometric test score is 0, which is insufficient to assess logical reasoning, work attitude, stress handling, or team collaboration.