Data Analyst with less than a year in SQL, Power BI & Python.
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 aspiring professional with hands-on experience in SQL, Power BI, Excel, and Python. Skilled in data cleaning, dashboard development, reporting, and deriving actionable business insights from large datasets. Passionate about transforming raw data into strategic business decisions and seeking an opportunity to contribute to a data-driven organization.
Mumbai University
Master of Computer Applications (MCA)
August 1, 2022 – June 30, 2025
St. Wilfred's College of Computer Science
Master of Computer Applications (MCA)
August 1, 2022 – June 30, 2025
Savitribai Phule Pune University
Bachelor of Computer Applications (BCA)
August 1, 2019 – June 30, 2022
Dnyansagar Art's and Commerce College
Bachelor of Computer Applications (BCA)
August 1, 2019 – June 30, 2022
KultureHire
Data Analyst Trainee (Job Simulation)
June 1, 2026 – Present
India
Gen Z Career Aspirations Dashboard (Power BI + Market Research)
June 1, 2026 – Present
Analyzed 100,000+ survey responses to understand career aspirations and workplace preferences of Gen Z professionals. Performed data cleaning, transformation, and visualization using Power BI. Created interactive dashboards to analyze trends in salary expectations, remote work preferences, and career motivations. Identified workforce trends and generated actionable insights for talent acquisition and HR strategy. Tools Used: Power BI, Excel, Data Analysis
E-commerce Customer Churn Analysis (SQL + Power BI)
June 1, 2026 – Present
Performed data cleaning and analysis using SQL. Calculated churn rate and customer segments using queries. Developed interactive Power BI dashboard analyzing 5,000+ customer records, identifying key churn drivers and enabling data-driven retention strategies. Identified key factors affecting churn such as tenure, payment method, and distance. Tools Used: SQL, Power BI
View ProjectExploratory Data Analysis on Indian Restaurants
June 1, 2026 – Present
Performed data cleaning and pre-processing using Python (Pandas, NumPy). Conducted exploratory data analysis to identify trends in pricing, ratings, and cuisines. Created visualizations using Matplotlib and Seaborn to present insights. Analyzed city-wise and cuisine-wise patterns to understand customer preferences. Derived actionable business insights for pricing strategy and restaurant expansion. Tools Used: Python, Pandas, NumPy, Matplotlib, Seaborn
View ProjectSQL-Based Employee & Client Data Analysis
June 1, 2026 – Present
Performed data analysis using SQL on employee and client datasets. Wrote complex queries using JOINs, GROUP BY, and aggregations. Extracted insights on employee performance and client behaviour. Identified trends to support business decision-making. Tools Used: SQL
View ProjectData Analysis Certification
IBM/NPTEL
June 1, 2026 – Present
Data Science & Analytics Program
IT Vedant
June 1, 2026 – Present
Research Paper: “A Unified Multi-Class Cancer Detection Model”
IRCBDAV
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's projects show a good diversity of applications for data analysis, from market research to e-commerce and restaurant insights. The 'Data Analyst Trainee (Job Simulation)' role aligns directly with the target role, indicating a clear career path and focus. The breadth of tools and techniques (SQL, Power BI, Python, Excel) suggests adaptability and a willingness to learn, contributing positively to cultural fit within a data-driven organization. However, the lack of real-world, full-time experience beyond a job simulation might require additional mentorship and integration into a professional team environment.
Soft Skills & Operational Fit
The candidate demonstrates good problem-solving and analytical thinking skills through their project work. The psychometric test score of 308/500 suggests average performance in areas like logical reasoning, work attitude, stress handling, and team collaboration, which could indicate a need for development in these areas for a senior role. The English test score of 56/100 indicates potential challenges in communication clarity and professional language usage, which are critical for a data analyst presenting insights.