Sonali Gagare
Data ScienceAI 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
Data Science with 2+ years in healthcare and business analytics.
Results-driven Data Analyst and Biostatistician with 1+ year of experience translating complex clinical and business datasets into statistically rigorous, decision-ready insights. Adept at applying advanced statistical methods – regression, ANOVA, ROC analysis, hypothesis testing – to real-world healthcare research, while delivering measurable operational impact: 30% faster reporting, ~99% data accuracy, and 25% faster stakeholder decisions. Proficient across the full analytics stack: Python, SQL, R, SPSS, Power BI, and Advanced Excel. MSc Data Science & Business Analytics (CGPA: 9.29/10). Passionate about using data to drive clinical and business outcomes.
HSNC University
MSc · Data Science and Business Analytics
August 1, 2024 – June 30, 2026
D.G. Ruparel College, Mumbai University
BSc · Statistics
August 1, 2019 – June 30, 2022
Statsloom
Data Analyst / Biostatistician Intern
February 1, 2024 – April 1, 2026
Mumbai, Maharashtra, India
Trainity
Data Analyst Trainee
February 1, 2023 – May 1, 2023
Mumbai, Maharashtra, India
Post-Induction Hypotension Prediction via Ultrasound (n=110)
January 1, 2025 – December 31, 2025
Evaluated subclavian vein ultrasound parameters as predictors of hypotension using Shapiro-Wilk, Mann-Whitney U, Wilcoxon signed-rank, ROC curve, and binary logistic regression – identified DSCV change as a strong independent predictor (AUC = 0.777, OR = 1.146, p = 0.005).
Supply Chain Data Analysis
January 1, 2025 – December 31, 2025
Mapped order fulfilment patterns and demand variability; built a Power BI dashboard tracking KPIs (cycle time, inventory turnover, fulfilment rate) and identified workflow bottlenecks statistically.
Laparoscopic Hernia Repair Comparative Study (TEP, TAPP, eTEP)
January 1, 2025 – December 31, 2025
Conducted statistical analysis using ANOVA and post-hoc tests across surgical approaches; delivered statistically-backed recommendations on operative time, pain scores, hospital stay, and complications.
Financial Market Factor Analysis & Portfolio Risk Modelling
January 1, 2025 – December 31, 2025
Built a portfolio risk model using factor/correlation analysis, time-series forecasting, and volatility metrics to evaluate risk-return tradeoffs; visualised results in stakeholder-ready dashboards.
AI & Machine Learning
UpGrad
June 1, 2026 – Present
Infosys Foundation Student Internship
Infosys Foundation
June 1, 2026 – Present
SQL for Data Analysis
UpGrad
June 1, 2026 – Present
Cyber Security & Ethical Hacking
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects and internships show a diverse application of data science skills across healthcare, finance, and supply chain, indicating adaptability and a broad interest in different problem domains. Their involvement in leadership roles and extracurricular activities suggests a proactive and collaborative mindset. The target role of Data Science aligns well with their educational background (MSc in Data Science and Business Analytics) and practical experience.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical and problem-solving skills through their project work and internship descriptions. Their ability to improve reporting efficiency and accelerate decision-making indicates a results-oriented approach. The leadership roles and participation in various programs suggest good teamwork and initiative, which are valuable for operational fit.