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Data Analyst SQL & Power BI
I am a Data Analyst with a strong foundation in data analytics, business intelligence, and data visualization. My experience includes working with SQL, Power BI, Python, Excel, and PostgreSQL to collect, clean, transform, and analyze data from multiple sources. I enjoy turning raw and complex datasets into meaningful insights that help businesses make informed decisions and improve operational efficiency. Throughout my professional experience and projects, I have developed expertise in exploratory data analysis (EDA), dashboard development, KPI reporting, ETL processes, data modeling, and statistical analysis. I have built interactive Power BI dashboards, automated reporting workflows using Python and SQL, and worked with large datasets to uncover trends, patterns, and opportunities for business growth. My technical skill set includes SQL, Power BI, DAX, Power Query, Python (Pandas, NumPy, Scikit-learn), Excel, MySQL, PostgreSQL, Streamlit, and data visualization libraries such as Matplotlib, Seaborn, and Plotly. I am also experienced in API-based data extraction, data validation, and developing end-to-end analytics solutions that provide actionable business insights. Some of my notable projects include a Music Analytics Dashboard that integrates data from multiple platforms through automated ETL pipelines, a Supermarket Sales Analysis Dashboard for performance and inventory optimization, and a Machine Learning-based Laptop Price Prediction application. These projects have strengthened my ability to solve real-world business problems using analytical thinking and data-driven approaches. I am passionate about continuous learning and staying updated with the latest trends in analytics, business intelligence, and data science. With a combination of technical expertise, problem-solving abilities, and a strong analytical mindset, I aim to contribute to organizations by transforming data into strategic insights that drive business success and innovation.
Institute of Chemical Technology, Mumbai
Bachelor of Technology (B.Tech) · Food Engineering
February 28, 2017 – May 29, 2022
Deloitte Data Analytics Virtual Experience
Data Analytics Intern
August 1, 2025 – August 1, 2025
India
Dollop Infotech Pvt Ltd
Data Analyst Trainee
December 1, 2024 – October 1, 2025
Indore, Madhya Pradesh, India
Poshtique
Marketing Intern
May 1, 2021 – August 1, 2021
Mumbai, Maharashtra, India
Music Analytics Dashboard
June 18, 2026 – Present
Built end-to-end BI solution integrating multi-source data via Python APIs and PostgreSQL with fuzzy matching; deployed real-time Power BI and Streamlit dashboards for performance trend analysis.
View ProjectSupermarket Sales Analysis Dashboard
June 18, 2026 – Present
Connected SQL Server to Power BI for real-time sales and inventory tracking; built DAX-driven KPIs and identified 15% excess inventory, enabling stock optimization and cost reduction.
Laptop Price Prediction Model
June 18, 2026 – Present
Web-scraped and analyzed e-commerce data to identify pricing drivers; built a Random Forest predictive model achieving R² = 0.93 and deployed a Streamlit web app for real-time price prediction.
Oracle Analytics Cloud Professional
Oracle
January 1, 2025 – January 1, 2025
SQL Advanced
HackerRank
January 1, 2025 – January 1, 2025
Python for Data Science
IBM
January 1, 2025 – January 1, 2025
Data Analytics Essentials
Cisco
January 1, 2025 – January 1, 2025
Cultural Fit Analysis
The candidate's project diversity, ranging from music analytics to supermarket sales and laptop price prediction, indicates a broad interest in applying data analysis across different domains. The internship experiences, including a virtual experience with Deloitte, show an initiative to gain exposure to various business contexts. While the core skills are well-aligned with a Data Analyst role, the candidate's background in Food Engineering, though not directly related, demonstrates an analytical mindset and ability to learn complex subjects. The overall profile suggests a candidate who is adaptable and eager to apply their skills in diverse settings.
Soft Skills & Operational Fit
The candidate's experience descriptions suggest a focus on improving efficiency and decision-making, which aligns with operational fit. The psychometric test score indicates average logical reasoning and work attitude, with no specific red flags for stress handling or team collaboration, but also no strong indicators of exceptional performance in these areas. The English test score suggests good communication clarity.