Experienced Machine Learning Engineer with a demonstrated history of working in Software Engineering background with Specialized in Product Management and Development with a good understanding of analytics have the
ability to understand the various business problems and solve it using the latest tools and technologies!
Full Stack Developer.
Offered high-quality web development services that will make your business stand out online on the edge of competition. Had the capability to handle any complex projects of any kind.
Emphasize to produced high-quality website development solution all through the process and bring into some fundamental aspects of a flourishing site.
Extensively developed applications using languages like HTML 5, CSS 3, Bootstrap, JavaScript, PHP, MySQL etc. Used advance JS frameworks like MongoDB, AngularJS , NodeJS , ReactJS for web development.
Data Science.
Provide end to end freelance services for the entire range of activities starting from Data Engineering & Analysis, Data Acquisition till presentation. It can help create tools or APIs for ease of data analysis, reporting and dashboards.
The phases of data science project where I got involved are Acquiring the Data(Data Acquisitions), Preparing the Data(Data Preparation or Feature creation), Exploring the Data(Exploratory Data Analysis), and Modeling the Data(Stastical
models for inference or Machine Learning models for prediction).
Some of the tools and technologies that I worked on Python, R, SQL, Excel, Tableau, Power BI, AWS, GCP, Azure, Hadoop and Spark.
Machine Learning.
Advancements in Machine Learning (ML) are fuelled innovations in various fields today. I had expertise in machine learning and their algorithm development (Data Preprocessing, Linear Regression (Simple, Multiple, Polynomial),
(Support Vector, Decision Tree, Random Forest), Evaluating Regression Models Performance.
Classification (Logistic Regression, K-Nearest Neighbors, Support Vector Machine, Kernel SVM, Naive Bayes),
(Decision Tree, Random Forest), & Evaluating Classification Models Performance.
Clustering (K-means, Hierarchical). Association Rule Learning (Apriori, Eclat).
Reinforcement Learning (Upper Confidence Bound, Thompson Learning). Dimensionality Reduction (Principle Component Analysis, Linear Discriminant Analysis, Kernel PCA), Model Selection Boosting (XGBoost). Extensively Used Machine Learning for analyzed the
data, to build prediction and deployment models and to create algorithms to solve various business problems.
Deep Learning.
AI induces human intelligence in machines and transforms business processes in terms of growth, automation, and efficiency.
Provide the best-in-class service to customers by creating applications which particularly take into account their necessities and amplify their ROI via automating their business tasks. The aptitude stretches across the whole scope of
AI innovations including
Deep Learning, Natural Language Processing, Computer Vision, Speech Recognition, and many more. Outlined effective arrangements that match flawlessly with the customer's plans of action and fuel their development all around.
Expertised with Deep Learning Techniques such as
Artificial Neural Network(ANN), Convolutional Neural Network(CNN), Recurrent Neural Network(RNN), Generative Adversarial Networks(GAN),
Self Organizing Maps(SOM), AutoEncoders. (Theano, TensorFlow, Keras, PyTorch).
Linkon.AI platform provides advanced analytics using some of our very own proprietary algorithms
to provide sentiment analysis, name matching, language detection and translation, categorization of
documents and many more. These algorithms power of products and are also available as developer APIs.
Understand what your customers say about your company or your product on social media
and review forums. With the help of Natural Language Processing you can now extract information
relating to your brand,and These valuable insights
will help you to create strategy for your business that will reap rewards!
Sometimes what customers say need not necessarily be what they mean. Therefore, It can be complex to understand
and analyze data to really know what your customers want. With the help of Semantic Similarity you can now identify
relationships or connections that bind different words. Use this powerful feature to understand what your customers
are saying in order to improve your business!
Named Entity Recognition also referred to as Entity Identification is an Intelligent system that can be used to Identify,
sort and store textual content such as the names and titles of your customers, their exact company names and addresses.
This facilitates due-diligence and is very useful tool for Financial Institutions!
Say goodbye to spending your team’s valuable time on reviewing team's information which is not only time-consuming and resource-heavy,
but also prone to human error, With the help of text summarization you can now extract a summary of the most important points from the
original data, Improve the productivity of your team and focus on things that are important to you like better quality!
Sentiment analysis showcases your customer’s opinions of your brand, It does tell you what your customers are really talking about.
Subjective Sentiment Analysis reveals the keywords that are most used by your customers relative to your brand. Brand custodians/marketing
teams will gain huge insights to guide them in Improving their product and it's communication!
Linkon.AI is an Intelligent automation platform is designed for the modern Financial Institution, Industry it helps FI’s reduce the turn around time for the various
complex workflows which involved in processing structured/unstructured data like Texts, Images, Videos.
Linkon.AI Learn from Data, Translate Text to Insights. Videos.
Real-time, Edge-based Intelligence for a safer, secure & more efficient World!
