Being a Data Scientist / Data Analyst I have learned one major thing that over 90% of the time spent includes Data Cleaning to extract meaningful insights while developing AI-ML solutions. That's where I invest most of my time in every new project that I have been assigned. I am skilled in Developing Visual Analytics Dashboards, Developing Machine Learning Solutions, Computer Vision- Object Detection Models. Strong CRM experience in Sales Domain. Have explored and gained good experience and knowledge through the sales life cycle - from market building, business development, costumer success and key account management to real time dashboards, visualization and reporting to statistical modelling and predictive analytics. Learning Big Data tools and techniques to handle data at high volume and different sources. My knowledge and experience lie in the following skills: Data Scientist/Data Analyst: • Data Mining (RapidMiner) • RDBMS (MS-SQL, SPSS, SSIS, SSRS, SSMS) • Cloud Platform (AWS Lambda, Google Computing Services) • Data Visualization (Tableau, PowerBI, Seaborn, Plotly) • Machine Learning (Statistics, R, Python - Numpy, Pandas, Scikit Learn) • Deep Learning (Pytorch, Keras, Tensorflow) • NLP (RNNs, LSTM, BERT, XLNet, MXNet, DistilBERT, ALBERT, RoBERTa) • Computer Vision (OpenCV, CNNs, Faster RCNN, SSD, VGG19, RESNet50, InceptionV3) Assistant Manager /Technical Sales Consultant : Customer Sales metrics •Account Management •Resource planning •Customer Analytics •Product pricing •Client Relationships •Cloud Sales •SaaS Sales •Ad-Sales •Customer Acquisition •Market Penetration •Team Management •Business Analysis I believe in continuous learning and development to enhance my skills and stay up to date with state-of-the-art technology.