I am an Architect in Machine Learning and Data Science, who enjoy storytelling with statistics and sharing my knowledge on LinkedIn,
where I help people interested in Data Science, Probability, Statistics, and more.
I did my Masters of Science in Computer Science with Data Science Emphasis. Also, I earned Specialization Certificate in Executive Data Science, a 5-course specialization by Johns Hopkins University - Certificate.
Machine can learn Science and Mathematics, but Art can't be. Data Science is an Art of storytelling / recommendation based on analysis on data. Self-motivated communicator with strong analytical skills resulting from working in dynamic environments involving business teams of four or more people. Proficient at setting goals, fulfilling leadership roles, and coming up with initiatives and implement them to the benefit of organization. Background and experience enables implementation of important strategic decisions using wide spectrum of data analysis tools within the fields of Advanced Analytics, Data Science and hands-on experience with Machine learning. Extracting information from Large-scale unstructured data and creating business value. As an individual, I'm self-confident you’ll find me creative, funny and naturally passionate. I’m a forward thinker, which others may find inspiring when working as a team.
I have been working as a Data Analyst and recommend business decisions as well as building tools to reduce the amount of manual effort exponentially. I have a love of Data cleaning, Exploratory Data Analysis, and I have lots of experience in data/predictive modeling and recommend the best media plans to business managers. I loving creating awesome data analysis products and presentations to explain the observations in data analysis to my clients. Some of the products I have worked on my self are TV attribution, Media Mix Modeling, Media Plan Generator based on historical performance.
Function: Data Science and Machine Learning Lead/Architect, Lead rapid prototyping and iterate to build production scalable solutions to solve conversion knowledge problems such as retargeting efficiency, entity resolution, link mining, conversion inference, and graph inference by using cutting edge machine learning, natural language processing, information retrieval, and statistical analysis techniques using ML algorithms
Function: Data Scientist and Machine Learning for Analytics Team, Research on audio to text transcription using Artificial Intelligence / Machine Learning Techniques such as Natural Language Processing and derive the context, Building predictive models using machine learning algorithms to forecast sales based on media spend, visitors, channel type variables etc
• Proctoring the IS Computer Skills Exams and grading the students based on their performance.
• Led a team to build Analytics solution for Merchant Risk Assessment that reduced manual screening efforts by 50%
• Automated data collection by building data pipes to integrate the project data that reduced manual efforts by 70%
• Designed and created dashboards using API calls and NoSQL (MongoLab) and performed Exploratory Data Analysis and formal modeling to predict the user behavior in credit card purchases
This is a 5 course specialization from Johns Hopkins University in Executive Data Science concentrating on Data Science.
I have completed Masters in Data Science with Statistical analysis along with concentration in Big Data, Spark, Hadoop, HIVE etc from University of Missouri, Kansas City, MO, USA.
I have completed my Bachelors in Computer Science and Engineering with Data Structures and Data Analysis as emphasis.
Here I completed my studies with concentration in Mathematics, Physics and Chemistry as my major.