Suveli Pramod Bhute

Email: adeale@r.postjobfree.com www.linkedin.com/in/suveli-bhute-data-analytics Phone Number : +1-469-***-**** https://github.com/suvelibhute PROFESSIONAL PROFILE

Aspiring Data Analytics professional with 4 years of experience in the telecommunication and healthcare industry. My education and experience so far enriched my problem solving, decision making, data analysis, and data visualization skills. TECHNICAL SKILLS

BI Tools: Tableau, Power BI, QlikView, EPIC (SlicerDicer, RWB, RADAR)

Databases: MySQL, MS Access, Oracle Apex, MongoDB, AWS(EC2, S3, RDS), Data Warehousing

Other Tools: Microsoft Excel(VBA, Power Pivot, Vlookup), Minitab, IBM SPSS Statistics, Jupyter Notebook, SAS Enterprise Miner, Spyder, Google Analytics, Microsoft Power Point, Microsoft Word, GitLab, MS Office suite, Google Cloud Platform

Languages: Python (numpy, pandas, scikit-learn, matplotlib, keras, NLTK, tensorflow), SQL, R (tidyverse, tidymodels)

Machine learning and Statistical Analysis: Neural Network(CNN, ANN), SVM, Random Forest, Naïve Bayes, Decision tree, Logistic Regression, KNN, K means, Hypothesis Testing, Regression, ANOVA, A/B testing EDUCATION

Master of Science in Business Analytics GPA: 3.9/4.0 University of North Texas, Denton, Texas (Aug 2018 - May 2020) Bachelor of Engineering in Electronics and Telecommunication GPA: 3.5/4.0 Cummins College of Engineering for Women affiliated to University of Pune, India (June 2010- May 2014) EXPERIENCE

Enterprise Healthcare Data Analyst Intern, Parkland Hospital, Dallas, Texas (February 2020 – May 2020)

Created reports using EPIC tools to meet immediate requests from customers

Created online Advanced SlicerDicer Training module

Improved Epic-SlicerDicer tool by validating data models and activating filters Graduate Teaching Assistant, University of North Texas, Denton, Texas (June 2019 – May 2020) Network Analyst, Ericsson Global India Limited, Mumbai, India (November 2014 – July 2018) Project 1: Idea MS project, Business Analyst

Gathering requirements from the client and translating it into technical requirements

Planned and delivered 550 ILL (Internet Leased Line) links across PAN India for different clients within a given deadline Project 2: Bharti MPBN project, Data Analyst

Publishing reports and dashboards for KPIs and present actionable findings to avoid congestion in the network

Identify trends and providing solutions to avoid congestion/breakdown in the network through analysis of data Project 3: Reliance Communication Project, Network Analyst

Worked with cross-functional teams, stakeholders, and management to gather requirements

Preparing the IP plan and Co-ordinating all the activities during the IP plan execution and ensuring the end to end delivery

Lead a team of 5 people to develop and design an IPv4 Management tool for the automation of the process ACADEMIC PROJECTS

An Analytic Model to Predict Loan Defaulter Activity (January 2019- April 2019)

EDA is performed to explore the bank customer dataset. Predicted whether a customer will be defaulting the loan or not and prevented the bank from losing the capital amount using machine learning algorithms Designing a database for Teachers Pay Teachers online portal and building reports for sales (August 2019- September 2019)

Designed an ER model(Relational Database) and populated with data using MySQL for Teachers Pay Teachers online eCommerce website by analyzing the requirements to identify the business rules, entities, and relationships.

Designed a Dimensional model(data warehouse) using MySQL for the same.

MySQL database is connected to QlikView/Tableau and built dashboards/reports for capturing sales and customer details Designing a relational database for a consulting firm for capturing the ongoing projects (August 2019- September 2019)

Designed an ER diagram(data model) using Visio for tracking ongoing projects by analyzing the requirements to identify the business rules, entities, and relationship

Created a database with Oracle APEX based on the logical design by writing SQL queries for creating tables and inserting records. Developed SQL queries to pull out the data from the database for tracking number of projects, consultants assigned to projects and calculating the number of hours spent on a particular project Phishing Email Detection (May 2019- August 2019)

Built different machine learning models using python to predict whether an email is legitimate or phishing. Built a bag of words model for 11881 text emails and applied dimensionality reduction techniques and machine learning models.

Contact this candidate