Data Scientist
Travier
مجموع سنوات الخبرة :10 years, 4 أشهر
• To Manage the “Travier” App and handling the daily logistic operation
• Promote the company’s products/services addressing or predicting clients’ objectives. Build long-term relationships with new and existing customers
• Lead a team of professionals related to App development and solved problems through Algorithm Development
• Maintaining awareness of the competitive market landscape, expansion opportunities, industry developments, etc.
• Interpret data, analyze results using statistical techniques and provide ongoing reports
• Identify, analyze, and interpret trends or patterns in complex data sets
• Apply data science techniques, such as machine learning, statistical modelling, and artificial intelligence
• Establish a new system, evaluate new and emerging technologies
• Represent the company and relationship with clients and logistic partners responsible for managing investor relations and ensuring stakeholders were kept up to date about startup
• To make strategies, plan, and write technical legal documentation for the company and terms and conditions for logistics.
• Model building deployment, data preparation, data visualization, and continual learning of new tools to take data-driven decisions for the business
• Served clients in the field of Data Visualization, Data Analytics, Machine Learning, Optimization Techniques, Business Analytics, Mathematical Modeling, Image Processing, Data Mining Research & Development
• Analyze and manage data to improve data quality and the efficiency of data systems.
• Interpret data, analyze results using statistical techniques and provide ongoing reports
• Acquire data from primary or secondary data sources and maintain databases/data systems
• Identify, analyze, and interpret trends or patterns in complex data sets
• Reads and interprets case management systems and functional technical literature and translates into terms understandable to the end-users.
• Deliver seminars, conferences, workshops, technical training and corporate training on MATLAB, R, Data Analytics,
KEY PROJECTS Develop machine learning models and recommendation systems for load planning, resource allocation, and vechile assignment. Implemented route optimization algorithms that improved delivery efficiency by 15 % , reducing fuel consumption by 12%. Conducted sentiment analysis on customer reviews and social media data using NLP techniques. Classified sentiment as positive, negative, or neutral resulting in 15 % increase in customer satisfaction Developed Price prediction system for logistic application on the basis of different parameters which reduced the price and maximize the profit of delivery partners. An AI-powered chatbots to handle customer inquiries and support requests. Utilized NLP techniques to understand and respond to customer queries effectively which can reduce the customer support response time by 30% and respond to customer query effectively • Stance Detection in Fake News Using Linguistic Features by Advanced Approach • An Empirical Study of Organizational Climate and Career Plateau Causes and Effects of Enterprises in India • Election Opinion Poll Analysis and Result Prediction • Using Weights in Social Graphs to Improve Search and hence finding the Twitter trend Analysis • Improved Feature Extraction and Classification Sentiment Analysis • A Deterministic Energy-efficient Clustering Protocol for Wireless Sensor Networks. • Privacy preservation in data mining using different clustering method • An improved DV-Hop localization algorithm and LEACH Protocol for wireless sensor networks • Facial expression matching using MATLAB • Objects & shape detection using Image processing
Bachelor of Technology In Electronics and Instrumentation
STEM (PCME)
