Nirali Sharma
DataData with less than a year in Python, SQL & Power BI.
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 with less than a year in Python, SQL & Power BI.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Detail-oriented Data Analyst fresher with hands-on experience in Python, SQL, Excel, and Power BI. Skilled in data cleaning, exploratory data analysis (EDA), data visualization, and dashboard development. Experienced in working with structured datasets to extract insights, identify trends, and support data-driven decision-making. Strong analytical and problem-solving abilities with a focus on delivering actionable business insights.
Nowrosjee Wadia College, SPPU (Pune)
Bachelor of Science · Computer Science
July 1, 2023 – April 1, 2026
The Developers Arena
Python Developer Intern
December 1, 2025 – January 1, 2026
India
Uber Data Analysis Dashboard
April 1, 2026 – June 1, 2026
Built an interactive Power BI dashboard analysing 150K+ ride records, including 93K completed and 57K cancelled bookings. Analysed 52M revenue and 2.51M total distance to identify key business trends and performance metrics. Developed DAX measures and data models to enable dynamic filtering by month, quarter, and vehicle type. Tracked KPIs like ratings, average distance, and top locations, providing actionable insights for decision-making.
View ProjectBudget Tracker Project
November 1, 2025 – March 1, 2026
Built a full-stack budgeting application to track income and expenses using Python and PostgreSQL. Designed and managed relational database for efficient data storage and retrieval. Implemented backend logic for expense categorization, balance calculation, and reporting. Improved financial tracking by generating summarized insights and reports for better decision-making.
View ProjectStatistics Project-Distance vs Time Analysis
February 1, 2024 – March 1, 2024
Analysed a real-world student travel dataset using Excel of 100 records, applying descriptive statistics (mean: 9.1 km, 34.06 min; variance, standard deviation). Performed correlation (r = 0.81) and built a linear regression model (R2 = 0.67) to identify and predict the relationship between distance and time. Developed scatter plots to uncover trends, deriving insights that improved understanding of travel patterns and time optimization.
HackerRank SQL (Intermediate) Certification
HackerRank
May 1, 2026 – Present
Data Analytics Job Simulation
Deloitte Australia - Forage
June 1, 2025 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a mix of personal and academic initiatives, indicating self-motivation and a proactive learning approach. The 'Uber Data Analysis Dashboard' and 'Budget Tracker Project' show practical application of skills, while the 'Statistics Project' highlights academic rigor. The internship and volunteer experience suggest a well-rounded individual. However, the overall experience level is entry-level, which might require significant mentorship and integration into a senior team's workflow. The target role is 'Data', and the candidate's skills and projects align well with this, particularly in data analysis, visualization, and database management.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a detail-oriented approach and strong problem-solving abilities. The volunteer experience suggests a willingness to contribute and good communication skills in explaining technical concepts. The internship experience shows an ability to work on real-world tasks and follow best coding practices. However, without specific psychometric or English test scores, a comprehensive assessment of work attitude, stress handling, and team collaboration is limited.