I am currently pursuing PHD in Machine Learning in Robotics. I have published papers in reputed journals and attended numerous conferences. Some of my projects were for the Govt. of India. i am also proficient in PCB designing as my technical background is in Electronics Engineering.Some of my side projects are: 1. Phase Segmentation of SEM Ferrite–Pearlite Microstructure Using SLIC and Skeletonization OpenCV 2. Modified firefly algorithm for area estimation and tracking of fast expanding oil spills. Machine Learning 3. Python gamebots for online HTML5 games. OpenCV and ML 4. Python web-scraper for Kodi. 5. Satellite Imagery analysis for land grab and urbanisation in India. 6. Reinforcement Learning for articulated robotic arm manipulation. RL/ML and Prosthetics Preferred ML frameworks: Tensorflow ,Pytorch Preferred Image framework: OpenCV Preferred web automation framework: Selenium Preferred PCB desgn tool: Eagle, Altium Here for the the extra dough to keep me ticking....

I have good prior experience in web design domain and Artificial Intelligence in python and also worked with SQL database in the past. So I can give you the best output in limited budget if I got selected. Here are my work samples....

Experienced professional in the field of Data science and Machine Learning. More than 5 years of experience in developing products from scratch . Passionate about teaching data science and help them to make a career in data science . Previously worked as researcher/developer in the field of machine learning and data science ....

I'm a Data Science enthusiast. Having Skills in SQL, Statistics, JAVA, Python, and SAS. Done 5 projects in machine learning inclusive of loan prediction and clustering. I'm currently working on attribution modeling....

APTAGRIM specializes in helping organizations gain insight from their data, and use those insights to change the way a decision is made. We do this through a blend of machine learning, statistical analysis, data visualization, optimization, and data engineering techniques. We love developing adaptive and smart web applications making use of intelligent algorithms. Our core skillset includes: • Machine Learning: - Working with Pandas, Scikit-Learn, PyTorch, Keras, TensorFlow, NLP - Experience in Decision Trees, Linear Regression, Naive Bayes, Random Forest, Gradient Boosting, Support Vector Machines SVM, K-Nearest Neighbors KNN algorithms / approaches. • Scripting Languages: PYTHON and R programming • Python frameworks: DJANGO, Flask • Data Visualization: Microsoft Power BI...

Worked on Inception V3, SSD-Mobilenet, SSD-Inception built-in Modelling. OpenCVCanny Edge and Auto canny, Clahe, various type of Morphological operation like Erosion , Dilation , Medium blurr for feature extraction in image. AWS Machine Learning PlatformFace Analysis, Face Recognition, Lex-Chatbot, Comprehend, Polly Speaker Computer VisionFace Recognition, Live object Detection using built-in SSD Model Self-Driving Car by making use of Deep-Q Learning & Reinforcement Learning. NLP modelschunking, sentiment Analyzer, text-to-speech Recognition, dumb chatbot. Chatbot for updating Excel sheet. Chatbot interface for natural language to SQL Query generation....

Studied Mathematics and Computing at IIT Kharagpur with a focus on Data Science and specifically Natural Language Processing. Worked with Accenture and Societe Generale on projects relating to Customer Segmentation, Chatbots, and Question Answering. Research experience from IISc, Bangalore with the Machine and Language Learning Lab involving Computer Vision, Big Data and Knowledge Graphs....

 8 years of IT industry experience in complete software development life cycle with active engagement in development of applications,enterprise data warehouse,ETL processing ,Big Data,Machine Learning,  7 Years of Big Data Ecosystem experience in ingestion, storage, querying, processing and analysis of big data.  Good Experience in Supervised Classification Algorithm like SVM,NaiveBayes,Logistic Regression,DecisionTree,Random Forest .  Good Experience in Neural networks MLP,CNN,RNN.  Good Experience in Natural Language Processing.  In depth understanding/knowledge of Hadoop and Spark Architecture and various components such as HDFS, JobTracker, TaskTracker, NameNode, DataNode,MapReduce concepts and Spark concepts.  Familiarity with No-SQL big-data storage concepts.  Experience with Hadoop Ecosystem components: MR, Hive,Pig, Sqoop,Map Reduce,Flume.  Experience on Apache Spark cluster .  Experience on Spark Streaming, Kafka,SparkSql concepts....

I'm an enthusiast AI engineer learner and passionate of AI and Python. Fast execution, result oriented and have a good grasping power. Executed some of projects: Computer Vision: Live Object Detector with built-in SSD model, Face/Object Recognition with Inception-V3 model, Object classification with built-in CaffeNet model. NLP: Text Classification, Speech-text conversion, Sentiment Analysis with BERT model, Dumb Chatbots Worked on R-CNN, Reinforcement Learning...

I'm a part time freelancer with 3+ years experience in building ML models, Deep learning, API and web development. For more details on my projects, please feel free to have a look at my GitHub repo: https://github.com/VinayBN8997...