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Data Sales

Bryan, TX
February 24, 2020

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Abhishek Ghosh

College Station, Texas 979-***-****


An MIS professional with 3 years of full-time experience seeking summer internship to drive innovative solutions EDUCATION

Texas A&M University, Mays Business School College Station, Texas Master of Science in Management Information Systems, GPA:4.0/4.0 Aug 2019- Present Kalinga Institute of Industrial Technology Bhubaneswar, India Bachelor of Technology in Electronics & Telecommunication May 2016 SKILLS

Programming Languages: XML, SPL, .NET, Python (numpy, pandas, seaborn, tensorflow, keras), HTML5, CSS3 Database technologies: RDS, AWS, MySQL, SQL Server, MongoDB Big Data Tools: Splunk Enterprise, Power BI, Tableau, Robotic Process Automation, Jupyter Notebooks Software/Services: Anaconda, VMware, UiPath, Jira, Git, Microsoft Office (Excel, Word, Project), API web services EXPERIENCE

Accenture Mumbai, India

Business Technology Analyst Jan 2018- May 2019

Business Technology Associate May 2016 – Dec 2017

Project: Duck Creek Technology (DCT JEDI)

• Implemented SaaS Policy administration software supervising 8-member team for Top Fortune 500 insurance clients

• Designed business workflow rules as part of Agile Scrum user stories and steered development across 2 teams

• Mentored new team members through end to end delivery process and orchestrated its various functions; enabled smooth deployment of project

• Integrated Duck Creek Platform with Alexa chatbot to improve customer requests saving $2K man hours each month

• Automated SQL queries for data retrieval and achieved automation using UiPath, reducing manual effort by 80%

• Analyzed machine data using Splunk Cloud to troubleshoot user transactions, policies and presented findings to stakeholders boosting production go-lives within 45 days

• Persuaded clients with data visualization dashboards in Tableau resolving defects, hence curtailed 98% Jira issues PROJECTS

Natural Language Processing Jan 2020- Present

• Collected around 10000 emails in English and trained a Naïve Bayes Classifier model using scikit-learn and applied to pandas data frame to build an email spam detector Car Sales Prediction Jan 2020

• Built ANN model using keras analyzing customer features like annual salary, credit card debt to predict car prices

• Optimized network weights using atom optimizer and normalized datasets using scikit-learn with 98% precision Crime Reporting System Sept 2019- Oct 2019

• Integrated a website for reporting Tableau dashboards handling 15 different types of crime with 3 GB dataset

• ETL data and loaded to MongoDB to generate crime heat maps for data visualization with 100% consistency ADDITIONAL

• VP Operations Officer: Business Information Technology Students (BITS): Student led networking organization

• Mays Case Competition: Proposed a solution strategy for a data security case study and presented analysis to panel

• Earned JEDI Award twice (2018 and 2019) for contribution in product rollout worldwide within a span of 2 years

• Winner of Accenture Innovation Contest (out of 50 participants) in ideation challenge 2019

• Organizer of Accenture FS Extravaganza (Annual Event): Motivated various projects to participate and recruited employees to strategize schedule and budget, making event a success within organization

• Interests- Travelling, Performing Arts, Driving, Photography

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