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Data Analyst with 1+ years in Statistical Analysis & SQL
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 Analyst with a strong foundation in statistical analysis, SQL, and data storytelling. Experienced in deriving actionable insights to support product and business decisions. Proven ability to work with diverse datasets, improve process efficiency, and deliver scalable analytical solutions. Also bring 5+ years of creative experience as an artist, contributing a unique perspective on communication, stakeholder engagement, and innovation.
AIMS Institute of Management Studies, Pune
MBA · Business Analytics (HR)
August 1, 2019 – June 30, 2021
William Carey University
B.Com.
August 1, 2016 – June 30, 2019
The Biz Barons
Research Analyst
March 1, 2026 – Present
India
Freelancer
Data Analyst
May 1, 2025 – Present
India
The Executives Cover Media Tech LLC
Research Analyst
November 1, 2024 – February 1, 2025
India
Analytics Insight
Research Analyst
May 1, 2024 – September 1, 2024
India
Cat and Dog Classification by CNN
June 1, 2026 – Present
Problem Statement: - to construct a CNN capable of classifying images of dogs and cats. Approach: - Develop CNN model for training, used regularization techniques to mitigate overfitting. Result: - achieve a high accuracy rate, the final outcome comes with accuracy for training dataset 96% and for test dataset 70%
View ProjectAccenture Data Analytics Virtual Experience
June 1, 2026 – Present
Problem Statement: - To find insights regarding the top 5 most popular categories of content. Approach: - Undergo ETL, conversion, Cleaned, modelled, and analysed a huge amount of social media data with hundreds of categories of content to find the top 5 categories in order to analyse their popularity. Result: - The solutions helped the client to find users driving the content's popularity in order to boost engagement 20% even further by running targeted marketing campaigns.
Customer Lifetime Value (Machine Learning)
June 1, 2026 – Present
Problem Statement: - To develop a predictive model to enhance business strategies for maximizing CLV of auto insurance company. Approach: - Conducted data analysis to understand correlations between various features and CLV, selected Random Forest and identified important features impacting CLV using model interpretation techniques. Result: - Identified crucial features for CLV. Suggested targeting ads to multi-policy holders for 30% profit.
View ProjectEduonix Live Data Science Certification Program
Eduonix
June 1, 2026 – Present
IBM Data Analyst professional Certificate
IBM
June 1, 2026 – Present
Advanced Excel
Unknown
June 1, 2026 – Present
Data Science Certification Program
Eduonix Learning Solution
January 1, 2024 – Present
Cultural Fit Analysis
The candidate's project diversity, including personal ML projects and a professional virtual experience, shows initiative and a broad interest in data analytics applications. The target role of 'Data Analyst' aligns well with the 'Freelancer, Data Analyst' experience and the skills listed (SQL, Power BI, Statistical Analysis). However, the majority of professional experience is in 'Research Analyst' roles, which, while involving data gathering and stakeholder engagement, may not fully reflect the depth of analytical problem-solving typically expected for a senior Data Analyst. The breadth of skills is good, but the depth of application in a professional setting for all listed skills needs further validation. The candidate's educational background (MBA in Business Analytics) also supports a good cultural fit for data-driven business environments.
Soft Skills & Operational Fit
The candidate's resume highlights a unique perspective on communication, stakeholder engagement, and innovation, stemming from 5+ years of creative experience as an artist. This suggests a potential for strong communication and collaboration skills, which are crucial for a Data Analyst role in presenting findings to non-technical stakeholders. The project descriptions show an understanding of problem statements, approaches, and results, indicating a structured thinking process. However, the 'Research Analyst' roles primarily focus on data gathering and stakeholder engagement rather than deep analytical work, which might limit operational fit for advanced analytical tasks without further development.