Data Analyst with less than a year in Python, SQL & Power BI
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Assessing your cultural and operational fit
Data-driven MCA student with hands-on experience in data analytics, machine learning, and business intelligence. Proficient in Python, SQL, Power BI, and Tableau with a strong foundation in statistical modeling and financial data analysis. Adept at building end-to-end analytics pipelines and translating data insights into actionable business decisions.
D.Y. Patil Institute of MCA and Management
Master of Computer Applications (MCA)
August 1, 2025 – June 30, 2027
St. Francis DeSalesCollege
Bachelor of Computer Applications (BCA)
August 1, 2021 – June 30, 2024
Excelerate
Data Analyst Intern
April 1, 2026 – May 1, 2026
India
Tech-a-Intern
Web Designer Intern
August 1, 2024 – November 1, 2024
India
Fraud Job Posting Detection
June 21, 2026 – Present
Built a machine learning model to detect fraudulent job postings using NLP techniques on real-world text data. Performed data preprocessing, feature engineering, and TF-IDF vectorization to extract meaningful patterns from job descriptions. Trained and evaluated multiple classifiers (Logistic Regression, Random Forest) achieving high precision in fraud detection.
Volatility Pulse Graph
June 21, 2026 – Present
Modeled financial time-series volatility using GARCH to forecast market risk and volatility clustering. Fetched real-time stock data via yFinance and engineered features for in-depth statistical analysis. Visualized conditional volatility trends using Matplotlib/Seaborn; project available on GitHub (github.com/SujalSP).
View ProjectEnd-to-End Retail Customer Behavior Analysis
June 21, 2026 – Present
Cleaned and transformed retail transaction data using Pandas; performed EDA to identify purchasing patterns. Developed a complete analytics pipeline from raw data preprocessing to Tableau dashboard visualization.
Plant Disease Detection
June 21, 2026 – Present
Built a machine learning model to detect plant diseases from leaf images using computer vision techniques. Trained and evaluated the model with Python and ML libraries to classify healthy vs diseased plants.
PMI Certified Professional in managing AI(PMI-CPMAI)
Project Management Institute
January 1, 2026 – Present
Data analyst associate job simulation
Deloitte
December 1, 2025 – Present
Python & Sql certification
Simplilearn
October 1, 2025 – Present
Cultural Fit Analysis
The candidate demonstrates a strong interest in data analytics and machine learning through diverse personal projects (fraud detection, financial volatility, retail behavior, plant disease detection). The projects showcase initiative and a proactive learning approach. The certifications, including PMI-CPMAI and Deloitte job simulation, indicate a commitment to professional development and alignment with industry best practices. The blend of academic background (MCA ongoing) and practical projects suggests a motivated individual eager to apply theoretical knowledge to real-world problems.
Soft Skills & Operational Fit
The candidate's resume highlights teamwork, communication, and presentations as soft skills. The internship experience mentions collaboration with a team of 8+ analysts and working in an Agile environment, indicating a good operational fit for team-based analytics roles. The Deloitte job simulation also suggests exposure to consulting workflows.