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Data Science with less than a year in Machine Learning & Computer Vision
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Results-oriented AI & Data Science graduate with a proven track record of building end-to-end machine learning pipelines and computer vision solutions. Skilled in Python, scikit-learn, TensorFlow, OpenCV, SQL, and data preprocessing, with hands-on experience delivering real-world ML applications including emotion analysis.
QSpiders / JSpiders / PYSpiders
Incubation Placement-Integrated Bootcamp · Data Science
August 1, 2025 – June 30, 2026
MES College of Engineering
B.Tech · Artificial Intelligence and Data Science
August 1, 2021 – June 30, 2025
AI Travel Voice Assistant
June 24, 2026 – Present
Built voice-controlled travel assistant using local FLAN-T5 model and curated dataset of 33 destinations with speech recognition and text-to-speech. Implemented data pipeline with Pandas for intelligent destination search based on food preferences, budget, timing, and cultural factors. Deployed offline-capable system eliminating API costs, achieving 90%+ speech accuracy with ambient noise calibration.
AI-Based Mock Interview Platform
June 24, 2026 – Present
Developed an end-to-end AI Mock Interview platform that increased user feedback accuracy by 15% using a custom CNN for real-time facial emotion recognition. Implemented facial emotion recognition using CNN and OpenCV for video interviews. Built a speech emotion analysis module for audio-based interviews. Deployed the web application using Flask for real-time feedback delivery.
Exercise Posture Correction System
June 24, 2026 – Present
Developed an end-to-end posture correction system to detect incorrect form across multiple strength training exercises. Utilized MediaPipe and OpenCV for real-time upper-body pose estimation by tracking key landmarks (shoulders, elbows, wrists, hips). Extracted posture features such as joint angles and body alignment using NumPy and Pandas. Trained and evaluated machine learning models using Scikit-learn and Keras, achieving 80% classification accuracy. Built a video-based inference pipeline to analyze workout footage and generate posture correctness feedback.
State Level Technical Quiz – Robotics with AI & Embedded Systems
Genzee Technologies LLP
January 1, 2024 – Present
Cultural Fit Analysis
The candidate's projects are diverse within the AI/Data Science domain, covering computer vision, NLP, and general machine learning applications. This breadth of interest aligns well with a dynamic, research-oriented environment. However, all projects are academic, and there is no professional experience, which limits the assessment of cultural fit in a corporate setting. The target role of 'Data Science' is well-aligned with the candidate's academic background and project work.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a results-oriented approach and an ability to work on complex, multi-faceted problems. The academic nature of projects suggests a strong learning aptitude. However, without professional experience or psychometric test results, it's difficult to assess operational fit, teamwork, or stress handling capabilities.