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Senior Data Specialist
ZIGRAM Data Technologies•  January 2019 - Present
ML Models: Text Relevance Model: Built NLP-based Text Relevance system which calculates the relevance of a text with respect to Input Topic using classification machine learning models with concepts of TF-IDF, BOW, Word Embeddings, etc. Link Scoring System: Ranking Links based on relevance for multiple use-cases using classification machine learning models. ETL Pipeline: Tables Extractor: Developed a system to scrape tables from different sources including PDF's with selenium and tableau library Organization Profile Generator: Built a Pipeline Which Extracts multiple data fields from different sources for an organization and transformed the scraped data into a proper profile Online News & Content monitoring: Built a Pipeline With Airflow Which Extracts News Links From Multiple Sources and Run Multiple Components to get the final set of relevant news for the input topic and time period Components Involved: DeDuplication | Content Extraction | ML Based Relevance Model | Sentiment Classification | Topic Extractor | NER Extractor |Grouping Semantically Similar Links Dashboards: Insight Led Sales : Designed different reports in the dashboard for Project Overview, Sales Pipeline, Sales Representatives Performance - Power BI The Corona Virus Ticker : Tracking the outbreak, deaths, recoveries, cases (For Marketing - 25% Increase in Website Traffic) - Power BI Video Games Vs Movies: Top 20 Movies and Video Games Revenue, Units Sold Over the years (For Marketing - 25% Increase in Website Traffic) - Tableau Global Corruption Impact: The Impact of a Country on Global Corruption and Instability Model Metrics Tracking:  Dashboard to keep track of model metrics and different datasets used for training ML models. Logic-Based Systems: Built a logic-based Recommendation System Timeline Generator:Extracting dates from the text for particular events mentioned in the text Criticality Score: Developed a Logic-based system to get criticality of an event Miscellaneous: Schedule and Deploy multiple scripts on the instance Built Multiple API's Using Flask Process Analytics: Developed a data aggregation pipeline to highlight errors and anomalies in a project-specific data generation process.
Education
NIIT University, Alwar
Computer Science & Engineering, B.Tech•  July 2015 - May 2019
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