Data Science Graduate Student from University of North Texas, looking for Full-Time entry-level positions related to Data Science and Machine Learning Domains.
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Experience
Data Analyst | University of North Texas Aug 2019– May 2020
• Visualized trends in ServiceNow data by creating reports and dashboards.
• Analyzed Telecom-billing data, worked closely with the team to ensure accurate streamlining of billing data into MySQL server using python programming.
• Developed a data extraction pipeline for the data source ServiceNow for the ITSS Data Warehouse as part of the Operational Analytics program.
• Designed dashboard for the Project Management Team to analyze the difference between project start and project go-live date using business intelligence tools like SAS viya, Power BI.
• Produced ad-hoc insights for business problems and provide business modeling solutions
• Received Training in Elastic Search, Kibana and Internet Security.
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Projects
Simpsons Image Recognition – Research project based on Image recognition using CNN to categorize Simpsons cartoon show characters. Performed EDA(Exploratory Data Analysis), Image Generation, built CNN Model accuracy – 95% and Data Visualization to test the model - Python, CNN.
Twitter Data Analysis – Social network analysis project, Performed rudimentary sentiment analysis to categorize tweets into positive, negative and neutral using Hive and sqoop. Tweets Json file was parsed using SerDe - Big Data, HDFS, Hive, Sqoop.
Credit Card Fraud Detection – Credit Card fraud detection data, the dataset was unbalanced had to balance it first, feature selection, dimensionality reduction was performed before building models- Regression, classification, clustering and gain accuracy with 80%.- Python, sklearn.
New York Airbnb Data – Data Mining and Analysis project, performed Data scrubbing on the dataset by handling missing data, performing dimensionality reduction, transforming variables based on skewness and built Decision Tree, Linear Regression, PCA, Cluster analysis. Gained lowest average squared error of 0.042 for Linear Regression - SAS Enterprise Miner.
Student Performance in Exam – Analyzed Data by performing Exploratory Data Analysis using MS Excel and Visualized the data set using Tableau. - MS Excel (VLOOKUP, Pivot tables), Tableau.
Stock Values Data Visualization – Provided insights, discovered trends and patterns from data set by data visualization.- Tableau.
Vandrasel Market Analysis - Reports and Dashboard for analysis sales In different countries. From Data Preparation, mining large sets of data both structured and unstructured for insights, extracting information, identifying linkages and Dashboards - PowerBI.