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Data Science with less than a year in Python, SQL, and 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
Results-driven Data Scientist and Analyst with strong expertise in Python, SQL, Power BI, and Excel. Experienced in analyzing large datasets, performing statistical analysis, and building dashboards that improve decision-making efficiency. Skilled in end-to-end data workflows from data cleaning to visualization, with proven ability to deliver actionable insights that support business growth.
Masai School
Data Science
August 1, 2025 – June 30, 2025
Srinivasa Ramanujan Institute of Technology
Bachelor's Degree · Electronics & Communication Engineering
August 1, 2021 – June 30, 2025
Blinkit Analysis Using Power BI and Excel
June 1, 2026 – Present
Designed interactive dashboards in Power BI and Excel Developed with 8,500+ data records with dynamic filters, KPIs, and DAX measures to visualize business trends and performance. Delivered accurate reports on product mix by location, fat content, and outlet type through effective data modeling and in-depth analysis.
View ProjectHotel Billing System using Python Tkinter
June 1, 2026 – Present
Designed and developed a GUI-based Hotel Billing System using Python Tkinter to display the hotel menu. Built and implemented a billing feature to generate customer order receipts, ensuring a simple and user-friendly interface.
View ProjectLoan Approval Analysis Using EDA, SQL, and Basic Statistics
June 1, 2026 – Present
Performed data cleaning, EDA, and statistical analysis on a loan approval dataset (5000 customer records) build with Python to uncover key variable relationships influencing approvals. Leveraged SQL for efficient data exploration to identify complex patterns and provide actionable, data-driven insights.
View ProjectLinguaskill (Cambridge English) Certificate – CEFR Level B1
Cambridge English
June 1, 2026 – Present
Programming for Everybody and Python
Coursera
June 1, 2026 – Present
Introduction to the Internet of Things
NPTEL
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a proactive approach to learning and applying data science skills across different domains (billing, loan analysis, e-commerce). The education from Masai School and a Bachelor's in ECE, combined with certifications, indicates a strong drive for continuous learning and adaptability. The internship, though not directly data science, shows exposure to a professional work environment and team collaboration, suggesting a good cultural fit for a learning-oriented and collaborative team.
Soft Skills & Operational Fit
The candidate lists Interpersonal Skills, Collaborative Teamwork, and Creative Thinking. The project descriptions indicate an ability to work on structured tasks and deliver user-friendly interfaces and actionable insights. The internship in system administration suggests an ability to follow instructions and support team objectives, which aligns with operational fit.