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Vishal Mendekar
Data Scientist |GenAI | Python | Pyspark| Java | Machine Learning | Data Science | Statistics | NLP | DSA
About
Vishal Mendekar is a highly skilled Data Scientist with a strong foundation in Mathematics, Statistics, and various Machine Learning and Deep Learning Algorithms. He has successfully developed Recommendation Systems, Sentiment Classifiers, and Document Classifiers and is currently seeking new opportunities to challenge his skills and utilize his knowledge. With over 4 years of relevant experience, Vishal is proficient in a wide range of technologies including Python, Java, NLP, ML, Deep Learning, Azure, Keras, Scikit, TensorFlow, MySQL, SQL, BERT, Naive Bayes, AI, AWS, Jupyter, SVM, Random Forest, Seaborn, CNN, RNN, Image Processing, Big Data, and Pandas. He is also well-versed in building Recommendation Systems and has a deep understanding of Sentiment Analysis. Vishal is currently working as a Data Scientist at IBM and has previously worked at Cognext.ai, where he was responsible for gathering data using web scraping and cleaning data to create datasets that can be used for building sentiment analysis models. He also worked on fine-tuning the Tesseract OCR model by augmenting images to get better results. Prior to this, he worked as a Project Engineer at Wipro. Vishal holds a Bachelor of Engineering degree in Computer Science from Lakshmi Narain College of Technology, Kalchuri Nagar, Raisen Road, Post Klua, Bhopal-462021. He has also completed training in Big Data Analytics from Appin Technologies, Bhopal. Vishal is an immediate joiner and is passionate about using his skills and knowledge to contribute to innovative projects. He is a quick learner, a team player, and has excellent communication skills.
Education Overview
• appin technologies bhopal
• lakshmi narain college of technology kalchuri nagar raisen road post klua bhopal462021
Companies Overview
• publicis sapient
• statusneo
• ibm
• cognext.ai
• wipro
• dxc technology
• appin technologies
• uddip welfare society
• gramiksha
Experience Overview
6.2 Years
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