Candidate

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First Name: Nishan
E-Mail Address: nishansanadwayanad@gmail.com
Country: United Arab Emirates
Phone: +971503046585
Current Job Designation: Intern
Job Designation Applying For: Software
Total Years of Experience: 1
Copy your Resume / CV in this box: PROFESSIONAL SUMMARY
Motivated Data Scientist with expertise in predictive modeling, machine learning algorithms, and advanced statistical techniques. Experienced in delivering real-world AI solutions, analyzing complex datasets, and driving data-driven decision-making for business improvement.
WORK EXPERIENCE
Intern – AI Department
STEMA Center, Dubai | August 2022 – November 2022
• Developed and optimized algorithms for object detection, achieving 96% accuracy using OpenCV.
• Collaborated with a team to enhance drone navigation and automation using onboard cameras and computer vision.
• Analyzed datasets with pandas and implemented predictive models, to improve model accuracy by 10%.
EDUCATION
BSc in Computer Science - Artificial Intelligence
The British University in Dubai | 2019-2023
• Earned a GPA of 3.5 and completed relevant coursework in machine learning, pattern recognition, and statistics.
CORE SKILLS

• Programming Languages: Python, Java
• Machine Learning Libraries: TensorFlow, PyTorch, scikit-learn, OpenCV
• NLP and LLMs experience
• Neural Networks: CNNs, RNNs, GANs
• Front-End: HTML, CSS, JavaScript, React.js
• Back-End: SQL, PHP
• Version Control: Git
• Data Visualization: Tableau, PowerBI
• Strong communicator and team player.
• Adaptable, solutions-focused problem solver.
• Excellent written and spoken skills in English, Hindi, Arabic

PROJECTS
Autonomous Drone Development
• Designed a navigation algorithm utilizing TensorFlow and OpenCV for real-time obstacle detection and avoidance.
• Conducted extensive testing to refine the drone's navigation, leading to a 20% improvement in response time and accuracy.
Sentiment Analysis on IMDb Comments
• Developed a large language model for text-based sentiment analysis in English and Spanish.
• Pre-processed and cleaned the dataset, accounting for linguistic differences.
• Trained the model using Naïve Bayes and Neural Networks, achieving 93% accuracy on 50,000 Spanish comments.
Brain Tumor Prediction using ML
• Collaborated with my group to build a model identifying the presence and type of brain tumors.
• Achieved 92% accuracy after performing classification, regression, and Naïve Bayes.
CERTIFICATIONS (IN PROGRESS)
• Machine Learning with Python: Foundations by Frederick Nwanganga
• Applied Machine Learning: Algorithms by Matt Harrison
• Machine Learning with Scikit-Learn by Madecraft and Michael Galarnyk

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