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Data Analyst with 1+ years in Data Science & Machine Learning
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 analytics and statistics professional with strong skills in SQL, Python, Excel, and Power BI. Experienced in data cleaning, analysis, and visualization to support data-driven decision-making using statistical and machine learning techniques.
Savitribai Phule Pune University
M.Sc. · Statistics
August 1, 2024 – June 30, 2026
Gangadhar Meher University
B.Sc. · Statistics
August 1, 2021 – June 30, 2024
Sane's Academy of Artificial Intelligence
On-The-Job Training
May 1, 2025 – June 1, 2025
India
Network Analysis on Depression Symptoms
December 1, 2025 – December 1, 2025
Analyzed 3,133 PHQ-9 responses and identified 1 of 9 depressive symptoms acting as structural bridge symptoms. Computed 4 centrality metrics, identifying 2 cognitive symptoms with the highest strength and expected influence. Conducted gender-stratified network analysis, revealing distinct central symptoms for males and females. Generated 5+ analytical visualizations and correlation-based network graphs for symptom-level interpretation.
View ProjectInsurance Cost Predictor
August 1, 2025 – August 1, 2025
Conducted univariate and bivariate analysis to identify data distributions, outliers, and key drivers of insurance costs. Developed regression models achieving an R2 score of 0.87 and reducing baseline MAE by 49%. Optimized ensemble models through systematic tuning to reach a high-precision MAE of $1,978. Built and deployed an interactive Streamlit web application using Joblib for model serialization.
View ProjectSQL for Data Analysis - Simplilearn
Simplilearn
June 1, 2026 – Present
Data Science Job Simulation - Forage
Lloyds Banking Group
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from statistical network analysis in a psychological context to insurance cost prediction and NLP, indicates a broad interest in applying data science across different domains. This suggests a curious and adaptable individual who could fit well into a team that values exploration and varied problem-solving. The ongoing M.Sc. in Statistics and certifications show a commitment to continuous learning. The target role of 'Data Analyst' aligns well with the candidate's core skills in data cleaning, analysis, visualization, and statistical modeling. The experience, while limited in duration, is highly relevant to data analysis roles.
Soft Skills & Operational Fit
The candidate demonstrates a proactive approach to learning and applying advanced analytical techniques, as seen in their project work. Their ability to work on diverse projects (network analysis, insurance prediction, NLP QA system) suggests adaptability and a problem-solving mindset. The deployment of interactive web applications (Streamlit, Gradio) indicates an understanding of making analytical insights accessible. However, without specific psychometric or English test scores, it's difficult to assess communication clarity, work attitude, stress handling, or team collaboration beyond what's inferred from project descriptions.