"I am a highly skilled and motivated professional with a diverse background in statistics, data analysis, and data science. I hold a Master's degree in Applied Statistics and Informatics from Shivaji University, Kolhapur…
"I am a highly skilled and motivated professional with a diverse background in statistics, data analysis, and data science. I hold a Master's degree in Applied Statistics and Informatics from Shivaji University, Kolhapur, and a Bachelor's degree in Statistics from Doodhsakhar Mahavidyalaya, Bidri, Kolhapur, providing me with a strong educational foundation. My expertise includes statistical analysis, machine learning, and programming languages such as Python, R, SQL, SAS, and MS Excel. I have completed various internships and relevant courses, including a Machine Learning course, as well as internships in data science and business analytics. My communication and team collaboration skills are excellent, complemented by a quick learning ability."
Working on various machine learning algorithms applied and fit the model.
Working on two big projects: Fast tag fraud detection system and forecast household electricity consumption trends using Python.
Using Python, building a model, Excel, and implementing real-time detection.
Gained comprehensive experience in Python programming.
Honed skills in various machine learning techniques.
Developed linear regression and classification algorithms.
Implemented models using Scikit-learn.
Acquired proficiency in Long-Short Term Memory (LSTM) network.
Completed comprehensive Data Analyst Training and Internship.
Gained hands-on skills.
Gained real-world experience.
Developed passion for turning data into insights.
Ready to embark on the next chapter in the world of data analytics.
Built a solid foundation in essential technical skills.
Received valuable professional development opportunities.
Learned numerical and reasoning questions.
Learned verbal questions.
Learned advanced quantitative ability questions.
Learned advanced reasoning questions.
Learned two hands-on assessment coding questions.
Learned dynamic learning techniques.
Gained hands-on experience in building Cat vs Dog classification model.
Learned and used linear regression, gradient descent, data visualization, ANN, creating datasets with Google Image, building neural network (NN), deep learning, TensorFlow, data analysis, and machine learning algorithms.
نظام التوظيف التشغيلي المعتمد على الذكاء الاصطناعي أولاً، الذي يوحّد ويؤتمت دورة التوظيف بالكامل للمؤسسات الحديثة حول العالم.
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