have spent the past 6+ years doing number crunching, data mining and grooming tech-based startups, and I am keen to continue developing my career in the field of data science. I have always been a person of Mathematics W…
have spent the past 6+ years doing number crunching, data mining and grooming tech-based startups, and I am keen to continue developing my career in the field of data science. I have always been a person of Mathematics With M. Tech in Data Science (Computational Maths), with exceptional Algorithms and general knowledge skills. As much as I’m into data manipulation, it’s the analysis of data that really gets me going. I like to explore the relationships between numbers and translate digits and spreadsheets into stories. In the age of big data, these stories become actionable solutions and strategies for businesses, and I take pride in my ability to make data accessible to both executive decision-makers and frontline sales staff.
I bring good knowledge of machine learning, deep learning, AI, NLP and data science. I have worked with diverse data sources and analytical tools, such as Excel, Power BI, Python, R, and Tableau, to derive meaningful insights and solutions to complex business problems. I have honed my data manipulation, visualization, and mining skills to deliver accurate, actionable insights to stakeholders. My expertise lies in data preprocessing, feature engineering, and model building using Python, MATLAB, and other relevant programming languages and libraries. I have successfully applied machine learning techniques such as regression, classification, clustering, and deep learning to solve complex business problems and extract actionable insights from large datasets. My proficiency in Python, TensorFlow, and other machine learning and NLP libraries enables me to stay at the forefront of the latest advancements in the field.
Manage the Travier app and handle 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 solve problems through algorithm development
Maintain awareness of the competitive market landscape, expansion opportunities, and industry developments
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 and evaluate new and emerging technologies
Represent the company and maintain relationships with clients and logistic partners
Manage investor relations and ensure stakeholders were kept up to date about startup
Make strategies, plan, and write technical legal documentation for the company and terms and conditions for logistics
Perform model building deployment, data preparation, data visualization, and continual learning of new tools to take data driven decisions for the business
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 solve 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
Manage the 'Travier' App and handle the daily logistic operation
Promote the company’s products/services addressing or predicting clients’ objectives
Lead a team of professionals related to App development and solve problems through Algorithm Development
Maintain 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 modeling, 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
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
Serve clients in the field of data visualization, data analytics, machine learning, optimization techniques, business analytics, mathematical modeling, image processing, and 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
Read and interpret case management systems and functional technical literature and translate into terms understandable to end-users
Serve 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
Acquire data from primary or secondary data sources and maintain databases/data systems
Identify, analyze, and interpret trends or patterns in complex data sets
Read and interpret case management systems and functional technical literature and translate into terms understandable to the end-users
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