Data Science with less than a year in data analytics and machine learning.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Graduate B.Tech student (ECE with Minor in Data Science) experienced in building scalable machine learning and data-driven analytic systems. Worked in data analytics, dashboarding, and processing high-volume datasets (1M+ records/day) to generate actionable insights and improve operational efficiency.
Nirma University
B.Tech in Electronics and Communication with minor Data Science · Electronics and Communication, Data Science
August 1, 2022 – June 30, 2026
Airports Authority of India
Project Intern
December 1, 2025 – April 30, 2026
Ahmedabad, Gujarat, India
Einfochips
Summer Intern
May 1, 2025 – July 31, 2025
Ahmedabad, Gujarat, India
Customer Churn Intelligence System
January 1, 2026 – February 28, 2026
• Built a churn prediction system using Logistic Regression models, achieving 87% recall on the churn class. • Performed feature-level analysis to identify key drivers of customer churn and translated findings into business insights.
Retail Sales & Inventory Analytics Dashboard
April 1, 2025 – May 31, 2025
• Processed 30,000+ retail transaction records, calculating profit margins, sales trends, and category performance. • Built Excel dashboards and pivot tables enabling inventory optimisation and sales analysis. • Delivered data-driven business insights to support decision making in retail analytics
Electric Vehicle Population Insights Dashboard
March 1, 2025 – April 30, 2025
• Analyzed 150,000+ EV records from the U.S. electric vehicle population dataset (1997-2024), identifying adoption trends, manufacturer market share, and regional distribution patterns. • Built interactive Power BI and Excel dashboards with trend analysis, and drill-down reporting, enabling efficient exploration of EV market growth and operational insights.
Silver Badge in SQL
HackerRank
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects and internships show a strong focus on data science and analytics, aligning well with a Data Science role. The diversity of projects (churn prediction, retail analytics, EV insights, multi-station data pipeline) indicates adaptability and a broad interest in applying data science across different domains. The 'Student Placement Coordinator' role suggests leadership and teamwork potential, contributing positively to cultural fit.
Soft Skills & Operational Fit
The candidate demonstrates a structured approach to problem-solving through project descriptions, indicating good operational fit. The academic achievements suggest diligence and a strong work ethic. However, without specific assessment data on communication, logical reasoning, or teamwork, a comprehensive evaluation of soft skills and operational fit is limited.