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AI Engineer with less than a year in Data Science, Machine Learning, and Competitive Programming
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Highly motivated B.Tech student in Electronics and Communication Engineering with a passion for Data Science and Machine Learning. Proven ability to build and deploy ML pipelines, perform data analysis, and visualize insights through projects. Experienced in competitive programming, hackathon organization, and community engagement.
Indian Institute of Information Technology Tiruchirappalli
Bachelor of Technology (B.Tech) · Electronics and Communication Engineering
August 1, 2022 – Present
O P JINDAL SCHOOL
Intermediate · Physics, Chemistry, Mathematics
June 1, 2020 – May 31, 2022
E-commerce Sentiment Analysis Web Scraper (Myntra)
June 27, 2026 – Present
Engineered an automated data extraction pipeline using Python, BeautifulSoup, and Requests to scrape and clean e-commerce customer reviews from Myntra. Created and deployed interactive dashboards using Pandas and NumPy for data manipulation, and Streamlit for real-time visualization of customer insights.
View ProjectPredictive Customer Segmentation
June 27, 2026 – Present
Designed and implemented an end-to-end machine learning pipeline with data preprocessing, feature engineering, and Random Forest classification to predict customer segments with over 90% accuracy. Developed logistic regression-based customer segmentation models, providing actionable insights for retail and product companies, with deployment-ready solutions and 90%+ accuracy.
View ProjectCultural Fit Analysis
The candidate's involvement in extracurricular activities like the Data Science Club and Entrepreneurship Cell suggests a proactive and community-oriented mindset. Their diverse project portfolio, though personal, indicates an interest in applying AI/ML to real-world problems. The competitive programming background highlights a drive for continuous improvement and problem-solving. These aspects align well with a culture that values innovation, collaboration, and continuous learning. However, the lack of professional experience means cultural fit is primarily inferred from academic and personal pursuits.
Soft Skills & Operational Fit
The candidate demonstrates leadership and organizational skills through their involvement in the Data Science Club and Entrepreneurship Cell. Their competitive programming background suggests strong problem-solving and analytical thinking. The project descriptions indicate an ability to work on end-to-end solutions, which is valuable for operational fit. However, without specific behavioral assessment data, a deeper analysis of stress handling, team collaboration, and work attitude is not possible.