Data Analyst with less than a year in Python, SQL, and Data Visualization.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Pradnya Jagdale is a fresher Data Analyst with a strong foundation in data analytics, Python, SQL, and data visualization tools like Tableau and Power BI. Her academic projects demonstrate practical experience in data cleaning, manipulation, and building dashboards to derive insights. She is adept at problem-solving and possesses strong analytical and logical thinking skills.
Alard College of Engineering and Management
MCA
August 1, 2023 – June 30, 2026
Indira College of Commerce & Science, Pune
BBA-CA
N/A – June 30, 2023
Sau. Tarabai Shankarlal Mutha Kanya Prashala, Chinchwad
HSC
N/A – May 31, 2020
Sau. Tarabai Shankarlal Mutha Kanya Prashala, Chinchwad
SSC
N/A – May 31, 2018
Car Dekho Mini Project
June 21, 2026 – Present
It is a SQL based project in this all analysis is done by using only MySQL and then made a document of this in word to understand the analysis.
Diwali sales Analysis
June 21, 2026 – Present
In this data is cleaned in MS-Excel and make it understandable and then made a Dashboard on MS-Excel to understand in better way how sales are taking place.
Vrinda Store Data Analysis
June 21, 2026 – Present
conducted an analysis and made simple Dashboard. This data set has customers data, age and based on that how much shopping is done by specific age group and how can we improve a sale.
Data analyst Certificate
UV Technocrats
August 1, 2023 – January 29, 2024
Cultural Fit Analysis
The candidate's academic projects demonstrate an interest in practical data analysis scenarios, which aligns with a data-driven culture. The pursuit of an MCA degree and a data analyst certification indicates a proactive approach to skill development. However, without professional experience or team-based project details, it is difficult to fully assess cultural fit beyond a general willingness to learn and apply technical skills.
Soft Skills & Operational Fit
The candidate lists soft skills such as Respectfulness, Problem-Solving, Confidence, Logical Thinking, Visual Thinking, and Adaptability. While these are valuable for operational fit, there is no direct evidence or assessment data to validate these claims. The academic projects suggest some problem-solving and visual thinking in the context of data analysis.