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Data Analyst with less than a year in Power BI & SQL, specializing in ML models and BI dashboards.
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Engineering graduate transitioned into data analytics through self-directed learning, specializing in building ML models and BI dashboards. Proficient in managing end-to-end ETL pipelines, performing data cleaning, and creating stakeholder reports. Committed to leveraging data-driven decision-making to provide actionable business insights. Available to join immediately for data analyst or tech-operations roles.
Annasaheb Dange College Of Engineering & Technology
B.Tech · Electrical Engineering
August 1, 2021 – June 30, 2024
MGV Jr.College
HSC
June 1, 2020 – May 31, 2020
New English School For Girls
SSC
June 1, 2018 – May 31, 2018
General Industrial Controls Pvt.Ltd
Internship Trainee
February 1, 2024 – August 1, 2024
Pune, Maharashtra, India
Retail Store Database Management System SQL
April 1, 2026 – April 1, 2026
• Designed and implemented a relational database for a retail store, establishing Primary Key and Foreign Key relationships to ensure data integrity. • Executed complex SQL queries to manage customer and order data, focusing on data manipulation and retrieval. • Performed advanced data analysis using Inner, Left, Right, and Full Outer Joins to generate actionable insights from related tables.
View ProjectHotel Management System SQL
April 1, 2026 – May 1, 2026
• Designed a relational schema using Primary/Foreign Key constraints for data integrity. • Executed advanced data analysis using Joins, Aggregate Functions, and Subqueries to generate insights. • Optimized reporting workflows by implementing CTEs and Views for efficient summarized data analysis.
View ProjectStudents performance prediction using machine learning
March 1, 2026 – April 1, 2026
• Developed a Logistic Regression model using a small-scale dataset to predict student pass/fail outcomes. • Optimized model performance through StandardScaler and LabelEncoder preprocessing techniques. • Validated accuracy using a Confusion Matrix, including a graphical heatmap representation for clear performance analysis. • Implemented a user-input interface to provide real-time predictions.
View ProjectStudents marks prediction using supervised Machine Learning
February 1, 2026 – February 1, 2026
• Built a predictive model using Linear Regression to estimate student scores based on study hours. • Evaluated model accuracy using performance metrics including Mean Absolute Error (MAE), Mean Squared Error (MSE), and Root Mean Squared Error (RMSE). • Developed an interactive interface to provide real-time score predictions based on user-inputted study time.
View ProjectFarmers Market Sales Dashboard-Power BI
January 1, 2026 – January 1, 2026
• Developed an interactive dashboard visualizing 4.42K sales and 2.04K quantity across 187 customers and 9 vendors. • Integrated DAX measures and data modeling to track KPIs and provide actionable business insights.
View ProjectIndian employee data cleaning and preprocessing using pandas-numpy
January 1, 2026 – February 1, 2026
• Cleaned and preprocessed large datasets using Pandas and NumPy to ensure 100% data integrity. • Resolved data quality issues by handling missing, duplicate, and infinite values. • Implemented Z-score outlier detection (mean ± 3*std) to identify and filter anomalous salary entries.
View ProjectIBM Data Analyst Certificate
Mind Luster
June 1, 2026 – June 1, 2026
Cultural Fit Analysis
The candidate's project portfolio is diverse within the data analytics domain, covering SQL, Power BI, and various machine learning applications. This breadth suggests an adaptability and willingness to explore different facets of data analysis. The self-directed learning path and pursuit of certifications indicate a proactive and growth-oriented mindset. The target role of 'Data Analyst' aligns well with the demonstrated skills and project focus. However, the projects are all personal, which limits insight into collaboration within a professional team setting.
Soft Skills & Operational Fit
The candidate demonstrates a self-directed learning approach, transitioning from an engineering background to data analytics. Project descriptions indicate an ability to work independently on data analysis tasks, from ETL to reporting. The internship experience shows an ability to follow procedures, maintain records, and report findings, which are valuable for operational roles. However, there is limited evidence of direct team collaboration or leadership in the provided project descriptions.