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AI Engineer with less than a year in Speech Emotion Recognition and E-commerce Analysis
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Motivated Computer Science graduate with a strong foundation in programming, data analysis, and problem-solving, and hands-on experience in Python, SQL, and analytical tools through academic and real-world projects. Seeking an opportunity to apply technical skills, learn continuously, and contribute effectively to organizational goals.
Rajiv Gandhi College of Engineering and Technology
Bachelor of Technology · Computer Science Engineering
January 1, 2021 – January 1, 2025
Target Brazil E-commerce Analysis | SQL BigQuery Project
January 1, 2021 – January 1, 2025
Analysed 100K+ Brazilian e-commerce orders using SQL on Google BigQuery to uncover customer behavior, sales patterns, and delivery performance. Built optimized queries to evaluate month-on-month order trends, state-wise sales and freight metrics, payment method adoption, and delivery delays. Derived actionable insights on logistics speed, customer demand, and operational efficiency across regions.
View ProjectEmotion Sense | Detecting the Rhythm of Emotions via AI
January 1, 2021 – January 1, 2025
Developed an AI-powered Speech Emotion Recognition system using RNN-LSTM models and MFCC features. Implemented real-time voice emotion detection by achieving 90%+ accuracy on benchmark datasets. Ensured seamless cross-platform compatibility and optimized performance.
View ProjectAirbnb Data Analysis & Visualization | Python
January 1, 2021 – January 1, 2025
Cleaned and analysed 40K+ New York Airbnb listings using Python (Pandas, NumPy) to uncover pricing, availability, and review trends. Built visualizations with Seaborn/Matplotlib, including heatmaps and geospatial plots, to highlight neighbourhoods demand and pricing strategies.
View ProjectPython & SQL (course completed)
Besant Technologies
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate an interest in diverse applications of data analysis and AI, from speech emotion recognition to e-commerce analytics. This breadth suggests adaptability and a willingness to explore different problem domains. The focus on academic projects and lack of professional experience means cultural fit is primarily inferred from project diversity and stated objective. The target role of 'AI Engineer' aligns with the AI/ML projects undertaken, indicating a focused career interest.
Soft Skills & Operational Fit
The candidate's objective statement indicates a motivation to learn continuously and contribute effectively, suggesting a positive work attitude. Project descriptions highlight problem-solving and analytical skills. However, without psychometric or English test scores, a comprehensive assessment of soft skills and operational fit is limited.