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Data Analyst with 1+ years in Power BI & 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
Results-driven Data Analyst with 1 year of experience in data visualization (Power BI, Tableau), SQL-based ETL, and Python automation. Skilled in data modeling, KPI tracking, and business insights using Azure SQL and APIs. Adept at translating complex datasets into actionable business strategies across finance and pharma domains.
Sharad Institute of Technology College of Engineering
B.Tech · Artificial Intelligence & Data Science
N/A – June 30, 2024
Maharashtra State Board
SSC
N/A – May 31, 2018
Maharashtra State Board
HSC
N/A – May 31, 2020
Adi Building Solutions Pvt Ltd
MIS Executive
December 1, 2025 – Present
Pune, Maharashtra, India
Full Spectrum Solutions
Data Analyst
August 1, 2024 – July 1, 2025
Pune, Maharashtra, India
Brain Tumor Detection using CNN
June 17, 2026 – Present
Built and deployed a deep learning model in Python (TensorFlow, Keras) achieving 90%+ accuracy on MRI image classification.
Iris Flower Classification
June 17, 2026 – Present
Applied supervised ML algorithms to perform predictive classification and accuracy evaluation.
Business Analytics
NPTEL
January 1, 2024 – Present
Data Analysis
ExcelR
January 1, 2024 – Present
Power BI
Udemy
January 1, 2023 – Present
Python for Data Science
DataCamp
January 1, 2022 – Present
Advanced Excel Workshop
JS Academy
January 1, 2021 – Present
Cultural Fit Analysis
The candidate's academic background in AI & Data Science, coupled with certifications in Data Analysis, Business Analytics, Power BI, and Python for Data Science, shows a strong commitment to continuous learning and skill development. The project diversity, ranging from deep learning for medical imaging to supervised ML for classification, indicates adaptability and a broad interest in data science applications. The experience as a Data Analyst and MIS Executive aligns well with roles requiring data-driven decision-making and reporting, suggesting a good cultural fit for organizations valuing analytical rigor and operational efficiency.
Soft Skills & Operational Fit
The candidate demonstrates strong organizational skills through data collection and consolidation, and collaboration skills by working with business teams and coordinating cross-functional meetings. The experience in stakeholder communication and feedback analysis indicates a proactive approach to improving reporting quality. The ability to translate complex datasets into actionable business strategies suggests good problem-solving and analytical thinking.