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Data Science with less than a year in AI, Machine Learning & Web Scraping
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Assessing your cultural and operational fit
As a Data Scientist Intern and ML Engineer Trainee, I have developed and deployed AI-powered platforms, optimized operational efficiency using data validation systems, and built healthcare prediction models with ECG datasets. My experience includes leveraging Generative AI, Machine Learning, and Deep Learning techniques to deliver impactful solutions in diverse domains.
BIT Mesra
BCA
August 1, 2022 – June 30, 2025
Humanli.ai
Data Scientist Intern
February 1, 2026 – Present
Jaipur, Rajasthan, India
Zordial Technologies Pvt. Ltd., Jaipur
Developer Intern
December 1, 2025 – February 1, 2026
Jaipur, Rajasthan, India
MIIC, MNIT Jaipur
ML Engineer Trainee
June 1, 2025 – July 1, 2025
Jaipur, Rajasthan, India
AI-Powered SEO Intelligence Crawler & Audit Platform
January 1, 2025 – January 1, 2026
• Developed a production-grade SEO analytics platform capable of evaluating websites across 25+ performance indicators. • Built async crawling systems reducing analysis time by 5-10× and improving operational scalability. • Implemented custom SEO scoring, PageRank analysis, competitor benchmarking, and optimization reporting systems. • Integrated LLM-powered recommendation pipelines generating implementation-ready website fixes. • Built using Python, Streamlit, Playwright, aiohttp, Groq API, Plotly, and Scikit-learn.
AI Influencer War Simulator Pro
January 1, 2025 – January 1, 2026
• Built a GenAI-powered influencer analytics platform using multi-source social and public data scraping. • Designed an Influencer Power Index integrating sentiment, reach, and engagement metrics on a 0-100 scale. • Implemented NLP-based sentiment analysis and LLM-powered competitive simulation engine. • Developed interactive visual dashboards and relationship graphs using Plotly and NetworkX.
LVH (Left Ventricular Hypertrophy) Disease Predictor
January 1, 2025 – January 1, 2026
• Developed ML/DL-based healthcare prediction system using PTB-XL dataset containing 21,000+ ECG records. • Applied ECG preprocessing, signal normalization, and feature extraction techniques for cardiovascular prediction. • Achieved Recall: 0.86, Specificity: 0.99, and F1-score: 0.85 outperforming traditional diagnostic approaches.
Multimodal Emotion Detection using Deep Learning
January 1, 2025 – January 1, 2026
• Built multimodal emotion detection system combining facial image analysis and text-based sentiment understanding. • Developed real-time Streamlit application using CNNs, BERT embeddings, OpenCV, and Keras. • Achieved 82% performance improvement compared to unimodal emotion recognition systems.
Introduction to Generative AI
Google Cloud
June 1, 2026 – Present
Introduction to Artificial Intelligence
IBM
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from healthcare prediction to influencer analytics and SEO, indicates a broad interest in applying AI/ML across different domains. This adaptability and willingness to explore varied challenges suggest a good cultural fit for dynamic and innovative environments. The listed certifications in Generative AI and AI also show a commitment to continuous learning, which aligns well with growth-oriented cultures. The target role of Data Science is well-aligned with their project and internship experiences.
Soft Skills & Operational Fit
The candidate demonstrates strong initiative and a proactive approach to learning and applying advanced AI/ML concepts. Their project descriptions highlight problem-solving skills and an ability to deliver tangible results (e.g., performance improvements, reduced processing time). The focus on building production-grade systems and integrating various APIs suggests an operational mindset. However, without direct interview data, specific soft skills like teamwork, leadership, or conflict resolution cannot be fully assessed.