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Data Analyst with 1+ years in Data Analysis & Visualization
Data Analyst with 1.9+ years of experience in data analysis, reporting, dashboard development, data validation, and business intelligence. Proficient in SQL, Python, Power BI, and Advanced Excel for analyzing large datasets, automating reporting processes, and delivering actionable business insights. Experienced in integrating data from multiple sources, performing descriptive and diagnostic analysis, ensuring data quality, and supporting business stakeholders with data-driven decision-making. Strong understanding of data governance, reporting accuracy, process optimization, and scalable analytics solutions. Adept at collaborating with cross-functional teams to solve business problems and improve operational efficiency.
Dhole Patil College of Engineering (SPPU), Pune
Bachelors in Engineering · Information Technology
August 1, 2020 – June 30, 2024
Inventive Global Solution Pvt Ltd
Data Analyst (Full Time)
June 1, 2025 – Present
Pune, Maharashtra, India
Top Analytica
Data Analyst
July 1, 2024 – March 30, 2025
Amrāvati, Maharashtra, India
House Sales in King Count USA
June 1, 2026 – Present
Developed a machine learning model to predict residential house sale prices in King County, USA (Seattle area), using historical sales data. The project involved extensive Exploratory Data Analysis (EDA), feature engineering (handling geographical coordinates, date features), and the implementation of a Multiple Linear Regression model optimized using a data preprocessing pipeline.
Air Quality Index (AQI) Monitoring Dashboard using Power BI
June 1, 2026 – Present
Built an interactive Power BI dashboard analyzing AQI trends across cities, enabling stakeholders to monitor pollution levels and identify the most and least polluted regions. Designed visualizations, including bar charts showcasing the least 3 and most 3 polluted cities, and an AQI trend overview chart for tracking changes over time. Developed an interactive map to provide area-wise AQI overviews, enhancing spatial analysis capabilities. Delivered actionable insights to help stakeholders make informed decisions about air quality management.
Early Identification and Monitoring of Dementia in Aged People Using Machine Learning Predictive Model
June 1, 2026 – Present
Developed a machine learning prediction algorithm to identify dementia in aged individuals. Utilized Python for implementing the algorithm and handling data.
Data Analysis with Python
IBM (Coursera)
June 1, 2026 – Present
Data Visualization
Anudip Foundation
June 1, 2026 – Present
The Data Analyst Course: Complete Data Analyst Bootcamp
Udemy
June 1, 2026 – Present
Quantium Data Analytics Job Simulation
Forage
June 1, 2026 – Present
Data Analytics and Visualization Job Simulation
Accenture North America - Forage
June 1, 2026 – Present
Oracle SQL
Great Learning
June 1, 2026 – Present
Achieved a perfect score (100%) on the 'Application Developer — Microsoft Analytics (Power BI)' test, indicating comprehensive knowledge and practical skills in Power BI.
Strengths
Limitations
Cultural Fit Analysis
The candidate's project diversity, including AQI monitoring, dementia prediction, and house sales, shows a broad interest in applying data analysis to various domains. Their experience in both a startup (Top Analytica) and a larger firm (Inventive Global Solution) suggests adaptability to different work environments. The emphasis on collaboration and stakeholder management in their professional experience indicates a team-oriented approach, contributing positively to cultural fit.
Soft Skills & Operational Fit
The candidate's resume highlights strong analytical thinking, problem-solving, attention to detail, and communication skills, which are crucial for a Data Analyst role. Experience in collaborating with stakeholders and managing queries indicates good operational fit and teamwork capabilities. The psychometric test score of 304/500 suggests average performance in areas like logical reasoning and stress handling, which could be further explored.