With over 12 years of experience in data science, I bring a deep understanding of data analysis, modeling, and interpretation to my role as a data scientist. My expertise lies in leveraging various statistical techniques and algorithms to uncover insights and solutions to complex data challenges. I have a proven track record of problem-solving capabilities and delivering data-driven insights to drive business outcomes. My passion for continuous learning, combined with my technical skills, makes me a valuable asset to any team that I work with. I am eager to continue growing my skills and contributing to the success of organizations in the field of data science.

Key Skills • Machine Learning (sklearn, pandas, numpy, matplotlib, seaborn, auto-sklearn) • Deep Learning (tensorflow, keras,ANN,CNN,RNN,LSTM,auto-keras)
• Auto NLP, Auto Sk-Learn, Auto-Keras • Natural Language Processing (NLTK, Spacy, flair, TextBlob, Gensim, word2vec, glove, fasttext, Elmo, GPT-2, BERT, Transfer Learning, RASA-NLU, Med7- NER for Healthcare) • Reporting Tools (Google Data Studio, Power BI, Tableau, Kibana) • Cloud – AWS, GCP, Microsoft Azure • Database – (Mysql, BigQuery, Mongodb) • PyTesseract - optical character recognition(OCR) • Python, R • Scrapy – web crawling • Elk stack • REST API(Flask,Node,PHP) • Knowledge of Hadoop, Hive, Spark, Scala

I like Challenging Position with a Creative work Environment to enhance work quality and expertise in Information Technology.
 Always looking for a challenging role where I can show my performance. Ready to learn new technologies and accept challenges, ready to give extra efforts for the same to implement in the best way. Working as tech. leader as well as a team player...