• Responsible for setting a product vision and strategy, and own the creative process of generating, developing, and curating new ideas.
• Prioritizing features by ranking them against the strategic goals and initiatives as per the values that new features will deliver to the customers and to the business.
• It involves planning, forecasting, marketing and production of a product. The focus is to drive new product development that are better and differentiated to create benefits and value to the customers.
• Works closely with engineering, sales, marketing and support to ensure business case and customer satisfaction goals are met.
• Gather technical and domain expertise to work along with the team during development phase.
• Building end-to-end machine leaning algorithm and managing its life cycle which involves defining project objective, data collection and preparation, exploratory data analysis, feature engineering, selecting/building, training and evaluating a model, parameter tuning, interpreting and communicating the results, deploying and maintaining the model.

This project focusses on understanding the relationship between the massive data collected from the operating engines and cockpit of aircrafts to prepare a predictive model that can make decisions and set the priority of maintainability among the engines. This saves manpower and cost by not visiting or operating on the engines which are working fine within the stipulated timeframe and focusses on the engines which require urgent attention.

Key Technologies * Machine Learning, Natural Language Processing, Statistics, Matlab, Cassandra, JAVA, Python, AWS, Spark, Theano

With the entrepreneurial spirit, I voluntarily initiated this project, wherein we analyze the camera stream from CCTVs present in the production factories to do object detection among various equipment in the assembly line for their optimal utilization, facial recognition for better accountability of resources working in a shift, skeletal analysis to figure out right way of operating the machinery on shop floor and cargo operations to fend off any safety hazard.

Key Technologies * Machine Learning, Computer Vision, Natural Language Processing, Statistics, Matlab, Cassandra, JAVA, Python, AWS, Spark, Theano

This project focusses on understanding the relationship between the various variables in the data collected from the flight and studies their effect on the fuel consumption during a flight. At the same time with the help of ML, predictive modeling is done to predict the optimized flight plan that depends on various factors like cruising altitude, weight, weather, pilot, time etc.

Key Technologies * Machine Learning, Computer Vision, Natural Language Processing, Statistics, Matlab, Cassandra, JAVA, Python, AWS, Spark, Theano

Worked to build the model to calculate and predict credit risk score of various clients in business with the organization by deriving intelligent insights by statistically studying data from stock market, tweets, news agencies and internal data from ERP and comparing it with S&P and Moody's rating to help strengthen the business to stay on top it while striking deal with clients.

Key Technologies * Machine Learning, Computer Vision, Natural Language Processing, Statistics, Matlab, Cassandra, JAVA, Python, AWS, Spark, Theano, scala

Worked on the project to develop predictive modeling algorithm, confusion matrix, heat map, confidence score to forecast the side-effects of newly launched drugs by studying the chemical composition of various drugs, patient's personal records, illness history, gene expression data sets which also includes features extraction from 18 types of medical record forms with the help of optical character recognition techniques. Developed the orchestration layer with the help of messaging queue to automate the data flow.

Key Technologies * Machine Learning, Computer Vision, Natural Language Processing, Statistics, Matlab, Cassandra, JAVA, Python, AWS, Spark, Theano

worked to automate business report generation in the form of text and speech with the help of natural language generation and trends prediction for the upcoming years after deriving intelligent, understandable and actionable insights from hiring, working hours, skill set, redundancy rules, redundancy cost, job quality, attrition & arrival rate data sets of the organization across 200 sites all over the world.

Key Technologies * Machine Learning, Computer Vision, Natural Language Processing, Statistics, Matlab, Cassandra, JAVA, Python, AWS, Spark, Theano, scala

This project focusses on building an infrastructure around various water resources like rivers, canals, streams, lakes across the state to track number of parameters from sensors like quality, pressure, flow, direction, source etc. to digitize its management and measurement by building AI models on top of it by analyzing soil, topography and weather to find the patterns and trends throughout the life cycle for optimizing current water resources, building comprehensive distribution network to meet the demands of urban and drought hit regions and managing wastewater treatment filters with the help of machine learning algorithms that continually analyze data to build optimal filter backwash protocol.

The goal of this project is to build an advanced analytical solution on top of the datasets generated from wind tunnel testing campaigns and computational fluid dynamics which can optimize the aircraft design process. With the help of computer aided tools designers generally use analytical theory to do the various engineering calculations that go into the design process along with a lot of experimentation. Aircraft designers normally rough-out the initial design with consideration of all the constraints on their design and erect a scale model and start wind tunnel testing, during this phase they study aspects like, aerodynamics, propulsion, controls, mass and structure of aircraft design to carve the perfect design which goes into manufacturing of prototype. Before manufacturing prototype aircraft, an insightful analytics of CFD datasets and Wind Tunnel Testing datasets can be done to find the anomalies in the conceptual design phase which can save a lot of iterations of wind tunnel tests, time and cost.

Roles and responsibilities:

• Responsible for setting a product vision and strategy, and own the creative process of generating, developing, and curating new ideas.
• Prioritizing features by ranking them against the strategic goals and initiatives as per the values that new features will deliver to the customers and to the business.
• It involves planning, forecasting, marketing and production of a product. The focus is to drive new product development that are better and differentiated to create benefits and value to the customers.
• Works closely with engineering, sales, marketing and support to ensure business case and customer satisfaction goals are met.
• Gather technical and domain expertise to work along with the team during development phase.
• Building end-to-end machine leaning algorithm and managing its life cycle which involves defining project objective, data collection and preparation, exploratory data analysis, feature engineering, selecting/building, training and evaluating a model, parameter tuning, interpreting and communicating the results, deploying and maintaining the model.