Abhishek
Ghaziabad, Meerut Division, Uttar Pradesh, India
Experience: 2 years
Open to: Full-Time
Education: Masters
Availability: Immediate
Skills: Django, Git, Jupyter Notebooks, LLMs/ChatGPT, Matplotlib, MongoDB, MySQL, NumPy, pandas, PySpark, Python, Python3, PyTorch, R, scikit-learn, Selenium, TensorFlow
Previously worked at: Startups
Assessment Score: 100
- Experienced Data Scientist with Proven Expertise
Over 3 years of experience in data science, specializing in machine learning, combinatorial optimization, and natural language processing. Demonstrated ability to improve business processes by up to 30% through innovative solutions and strong analytical skills. - Educational Background in Data Science and Computer Science
Pursuing a Master’s in Data Science at the National Research University Higher School of Economics, Moscow (GPA: 6.72/10), with a thesis on clustering-based genetic algorithms. Holds a B.Sc. in Computer Science (Honors) from the University of Delhi (GPA: 8.35/10). - Comprehensive Technical Skillset
Proficient in Python, C++, Java, Kotlin, R, and MATLAB, with hands-on experience in tools like Google Cloud and Android Studio. Expertise in machine learning techniques including NLP, object detection, and combinatorial optimization, alongside strong knowledge of data structures and algorithms. - Project Management and Innovative Solutions
Successfully led and implemented diverse projects such as a clustering-based genetic algorithm for optimization problems, movie recommendation systems, real-time chat applications, and formal concept analysis (FCA) algorithms to enhance decision-making. - AI and Computer Vision Expertise
Designed applications like neural networks for classification tasks, face detection systems, object detection models, and finger-counting tools using computer vision and OpenCV, showcasing advanced AI integration. - Commitment to Technological Advancement
Passionate about leveraging AI-driven solutions to optimize processes and enhance decision-making, with a focus on real-time applications and recommendation systems to address complex business challenges.