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Data Science with less than a year in Data Analysis & 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
Detail-oriented Data Science graduate with a B.E. in Data Science Engineering (CGPA: 8.56) and internship experience in data cleaning, EDA, and building data-driven insights. Proficient in Python, SQL, Pandas, Power BI, and Tableau. Adept at identifying patterns from complex datasets and communicating findings through dashboards and reports.
Alva's Institute of Engineering & Technology
B.E. · Data Science Engineering
August 1, 2022 – June 30, 2026
Take It Smart (OPC) Pvt. Ltd
Data Science Intern
February 1, 2026 – May 31, 2026
Bengaluru, Karnataka, India
Pizza Sales Analysis Dashboard
June 1, 2026 – Present
Analyzed 48,620 records to derive KPIs including total revenue (817.86K), total orders, and average order value using Python and SQL. Built an interactive Power BI dashboard with DAX measures, KPI cards, and 8+ visualizations identifying peak sales days and top-performing pizza categories.
AI-Powered Smart Interview Coach
June 1, 2026 – Present
Developed an AI-powered mock interview platform evaluating candidates through facial expression recognition, speech analysis, and AI-based answer assessment. Integrated Gemini AI for role-specific question generation and LLM-based answer scoring, delivering real-time feedback and post-interview performance reports.
Multi-Agent AI System for Intelligent Document Analysis
June 1, 2026 – Present
Designed a multi-agent AI system for automated document analysis with NLP-based summarisation, sentiment analysis, and fact-checking using Transformer models. Built an interactive Streamlit web app enabling real-time document upload, processing, and analysis.
Google Advanced Data Analytics Professional Certificate
June 1, 2026 – Present
Google Cloud Career Launchpad - Generative AI Leader Track
Google Cloud Skills Boost
June 1, 2026 – Present
Cloud Computing & Distributed Systems
NPTEL
June 1, 2026 – Present
Introduction to Artificial Intelligence
Infosys Springboard
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects show a diverse range of applications for data science, from business intelligence (Pizza Sales Analysis) to advanced AI systems (Multi-Agent AI, Smart Interview Coach). The involvement in a project competition and teamwork mentioned in project descriptions suggest a collaborative mindset. The breadth of skills and project diversity indicate a good cultural fit for an innovative and dynamic data science team.
Soft Skills & Operational Fit
The candidate demonstrates problem-solving, communication, teamwork, adaptability, and analytical thinking through project descriptions and the 'AI-Powered Smart Interview Coach' achievement. These skills are crucial for collaborative data science environments and align well with operational demands.