Kishor Sivakumar

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

• Strong foundational knowledge and practical application in Machine Learning and Deep Learning, demonstrated through internships and projects (e.g., Regression, Classification, Random Forest, SVM, KNN, Neural Networks, CNN, hyperparameter tuning, model evaluation).
• Hands-on experience in data preprocessing, exploratory data analysis (EDA), feature engineering, and data wrangling using Python libraries (Pandas, NumPy, Scikit-learn).
• Proficiency in Natural Language Processing (NLP) including text preprocessing, tokenization, and application of Large Language Models (LLMs) for tasks like contract analysis.
• Experience in Computer Vision with projects involving object detection (YOLOv8) and image classification (CNNs).
• Familiarity with model deployment fundamentals using FastAPI for API-based inference.
• Proficient in a relevant technical stack including Python, SQL, TensorFlow, Keras, Scikit-learn, Pandas, NumPy, Matplotlib, Seaborn, Power BI, Git, and OpenCV.
• Academic background in Artificial Intelligence and Data Science with relevant coursework.
• Relevant certifications in Machine Learning, Data Analytics, SQL, Python, and Power BI.