Shreya N. Gunjal

Aspiring data analyst with a biochemistry background, skilled in SQL, Python, Excel, and Tableau to deliver actionable insights through data
storytelling. Developed a project portfolio emphasizing report generation, presentations, and interactive dashboards. Currently gaining hands-on experience through a remote internship to strengthen
analytical and communication skills. Eager to contribute a fast-learning mindset and practical expertise to a full-time data analytics role.

• Python for Everybody Specialization, Coursera (University of Michigan), 07/01/20: Covered python fundamentals, data structures, web data access, databases, and data visualization. Final capstone involved retrieving and visualizing real-world data using Python libraries.
• Clinical Trial Analysis & Reporting, Internshala Trainings, 05/01/22: Learnt clinical trial analysis and reporting using SAS, clinical study documents, building the clinical study reports (CSRs) and final project modules. Scored 93% in the final assessment and was a top performer in the training.

IMDB Movie Analysis (Trainity):

• Determined the most common and high-yielding genres and calculated descriptive stats for them as well as relationships between movie duration, language and ratings.
• Explored the relationship between movie budgets, financial success and influence of directors on movie ratings.
• Created a detailed report with insightful, actionable interpretations that can drive decision-making for stakeholders or producers.

Bank Loan Case Study (Trainity):

• Performed intensive data cleaning, handling missing data, identified outliers, corrected outliers and analysed data imbalance in loan data.
• Performed univariate, segmented univariate and bivariate analysis to gain insights into driving factors of a loan default by various analysis on both consumer and loan attributes.
• Identified top correlations for different scenarios, calculated correlations between variables to provide insights into strong indicators of a loan default.

Operation Analytics and Investigating Metric Spike (Trainity):

• Created SQL database containing job application data, events, organizations, language, dates, users data, emails and time spent on the interface.
• Calculated jobs reviewed over time, throughput analysis and language share analysis.
• Calculated weekly user engagement, weekly retention analysis, weekly engagement per device and email engagement analysis.

Impact of Car Features on Price/Profitability (Trainity):

• Analysed market categories, their popularity, relationships between car power vs. price, fuel efficiency and no. of cylinders, etc.
• Analysed which car features have the strongest impact on a car's price (manufacturer, body style, average MSRPs, transmission type, fuel efficiency, etc.).
• Created a Tableau dashboard for visualizing relationships between Car MSRP and various car features.

• English, Advanced
• Hindi, Advanced
• Marathi, Intermediate

Date of Birth: 07/20/99