Sayan Mukhopadhyay
Remote Consultant – Machine Learning, Big Data, Cloud @ Mcdonald, Pubmatic, Symphony AI | Software Development, Algorithms, Machine Learning
Kolkata
14+ years of work experience
Nov 20169 yrs 10 mosPresent
Proposing strategic guidance, direction, and roadmap to cross-functional teams through implementation of actionable results, I assist new and existing products/platforms to influence business decisions.
Delivering strategic assistance to the clients, I lead full project lifecycle from inception to successful conclusion within agreed time, budget, and quality, I collect and examine business requirement under set policies and procedures.
Formulating and implementing robust strategies, I initiate and apply informed decisions and direct development of new data sciences capabilities with an aim of driving continuous business performance.
During this role I perform wide range of operational tasks, including utilise modern modelling, regression, time series, and machine learning techniques as well as leading mathematical programming, ML, modelling/simulation, and data mining activities.
Leveraging blend of contemporary and traditional data mining techniques that employ on structured and unstructured datasets, I devise and launch innovative analytic models as per requirement.
Supervising large scale data analyses, model development, and model validation/implementation, I enable and establish efficient, scalable, automated processes.
Some of my key accomplishments are the following;
• Planned and designed new framework and patterns in model validation as well as played a vital role in learning reinforcement.
• Drafted book’s 2nd Edition that accepted by Springier publication
• Collaborated with leading companies and potential stakeholders, such as Pubmatic, and Crossover.
• Completed wide range of projects within defined scope and budget.
Jun 20151 yr 6 mosNov 2016
Technical Scope: Java, Play, Mongo, Python, Neo4j, Angular JS, Stanford NLP, Beautiful Soap, TensorFlow, mem2n, and AWS
During this short role, I intended and deployed optimal systems, encompassing security, dialogue, auto-complete, and feedback modules for retail e-commerce operations and Topical Crawler towards web harvesting.
Leveraging transactional data, I created and installed an advanced Health Insurance Claim Status Prediction System through HIPAA 835, 837 data for vendor selection and price optimisation.
Some of my key achievements are the following;
• Served as the main part of core innovation Line of Business whilst acting as data science manager.
• Led entire project lifecycle from concept and conclusion and headed a top-performing team of seven employees with a keen focus on completing sophisticated projects within defined timelines.
• Played an integral role in planning and designing effective analytic solutions (GUI to ML model) within a specified client framework for the development of a credit score model through utilisation of social media data.
Jul 20141 yrJun 2015
Technical Scope: Python, Java, Mahout, Hadoop, Hive, Elastic Search, Kibana, Sentiment Analysis, and Neural Network Predictor
Focusing organizational brand development and Neural Network-based Predictor for passenger loads regarding two clients in the aviation sector, whilst I oversaw sentiment analysis project for demonstrating a range of technical bandwidth.
Some of my key milestones are the following;
• Formulated and offered innovative and long-term solutions to address complex data errors for a leading electronics manufacturer and distributor through the parallel implementation of KMean clustering by using Needleman Wounch sequence matching score.
Oct 201310 mosJul 2014
Key Clients: Coca Cola, Verion, and RPG
Technical Scope: Nagios, Cacti, Ninja, Merlin, Lucierna, Combodo-itop, Jasper-Report, Sumologic, Event correlation, and Topology Auto-discovery
In this tenure, I planned and employed enhanced system architecture, such as an efficient framework for Nagios Active Checks and recursive approval methods regarding change management in ITSM.
Integrating NetFlow and Nagios core via NetFlow collector/Nagios check plug-in I quickly determined and resolved multifaceted bugs, encompassing data miss-issue of cacti with 'polar table in not empty' exception.
Some of my key achievements are the following;
• Headed a top-performing team of 12 employees and administered processes related to collecting requirements and conducting feasibility analysis through the development of leading-edge project plans and roadmaps.
• Steered major seven clients of the company, including Coke India; received the highest amount of variable pay with in the team.
May 20121 yrApr 2013
Testing theories, evaluating feature concepts, and iterating rapidly and applied I was involved in Machine Learning research and trends by using Agile methodologies to drive seamless project execution.
Optimising customer experience and expectations as well as reduced reductions I headed machine learning models and predictive analytics techniques by executing repeatable patterns within structured and unstructured data to discover new trends.
• Applied and examined resilient models, using noisy real-world data, owned deliverables, and steered priorities and timelines through proper management of data discovery, collection, cleaning, labelling activities.
• Dealt with 100M of data every day and implemented Least Square Estimation in MapReduce with correlation Analysis.
Sayan’s AI Stack
Education
Master of Technology - MTech, Computational and Applied Mathematics
Indian Institute of Science (IISc)
Bachelor of Engineering - BE, Instrumentation and Applied Physics
Jadavpur University
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