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Data Science with less than a year in AI/ML and data visualization
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
I am a thorough Data Scientist with a B.Tech in Computer Science/Information Technologies and certifications in AI/ML and Data Science. Skilled in Python, SQL, Pandas, Matplotlib, Numpy, Scikit-learn and data visualization, with experience deploying predictive models that enhanced decision-making and drove strong business results.
Institute of Technical Education and Research
Bachelor of Engineering · Computer Science/Information Technologies
August 1, 2022 – June 30, 2026
High Skill
AI/ML Intern
February 1, 2025 – Present
India
Kidney Disease Predictor
June 1, 2025 – July 1, 2025
Achieved 96% accuracy and an ROC-AUC score of 0.94, validating model reliability across 5,000+ test samples. Collaborated with a 3-member team, improving project delivery speed by 20% through effective planning and problem-solving. Increased model precision from 70% to 85% via feature engineering and hyperparameter tuning, resulting in a 15% performance gain. Reduced model training time by 30% by optimizing data pipelines and leveraging efficient algorithms. Processed and analyzed 50,000+ data points, ensuring high data quality through cleaning, transformation, and feature selection.
View ProjectAI/ML
Udemy
May 1, 2025 – Present
Applied Data Science with Python Specialization
University of Michigan
November 1, 2024 – Present
Cultural Fit Analysis
The candidate's project diversity, including an academic project and an internship, shows a breadth of application for data science skills. Their proactive pursuit of certifications and continuous learning indicates a growth mindset. The experience in mentoring and improving team productivity suggests a collaborative and supportive team player, which generally aligns well with positive cultural fit.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving and collaboration skills through team projects and mentoring experience. Their ability to create SOPs and improve team productivity indicates good operational awareness. The focus on data-driven insights and strategic decision-making aligns well with a senior Data Science role.