SAMEETA VIJAY NARKAR

Phone: +1-469-***-**** LinkedIn: https://www.linkedin.com/in/sameetanarkar Email: adeai7@r.postjobfree.com

Tableau: https://public.tableau.com/profile/sameeta.narkar

SUMMARY: A data enthusiast proficient in data analysis, data visualization and data modelling. Acquired experience in areas of big data, SQL, predictive analytics, machine learning, spreadsheet analysis, data visualization and requirements gathering.

EDUCATION

The University of Texas at Dallas, Texas, USA May 2020

M.S. in Business Analytics

The Dean’s Excellence Scholarship

The University of Mumbai, Mumbai, India May 2018

M.Sc. in Zoology, Biotechnology

The University of Mumbai, Mumbai, India May 2016

B.Sc. in Zoology, Life Sciences

TECHNICAL SKILLS

Data mining tools: KNIME, SAS, Python, R, Stata, Advanced MS Excel, VLOOKUP, Macros, Solver, Pivot Tables

Reporting tools: Tableau, R, Power BI, JIRA, MS Project

Databases: SQL Server 2016, MS Access, MySQL, Amazon Redshift

Data Analysis: Data Visualization and insights, Regression, Hypothesis Testing, Spreadsheet analysis, Biostatistics

WORK EXPERIENCE

Data Science Intern – IntelliCentrics January 2020 - Present

Built unsupervised machine learning algorithms in KNIME to cleanse and standardize internal and external healthcare data

Reduced data redundancy by 50% using several regular expressions to facilitate efficient data analysis

Optimized analysis of data across departments using data cleaning and data blending techniques like string matching

Labelled big data and built a machine learning algorithm to standardize and correctly classify healthcare representatives

Designed and aggregated a data model using SQL to create a reliable data source for an online dynamic visualization

Visualized trends in data using tableau to present insights and solutions over various problem statements

ACADEMIC PROJECTS

TGI Fridays - Marketing and Predictive Analytics - SAS - Team Leader November 2019

Formulated marketing strategies for TGI Fridays by analyzing customer trends and key drivers of customer behavior

Performed regression analysis to Identify key relationship between age groups, discount rates, time, food ordered, net sales

Performed cluster analysis to group customers using variables in data to facilitate targeted marketing & customer retention

Mobile Banking Application - Agile Project Management - JIRA August 2019

Initiated requirements gathering from the point of view of all stakeholders for creating a mobile banking application

Created project charter, user stories, product backlog and roadmap to map the entire life span of the project

Levelled resources and solved over-allocation issues to reduce project costs by 30% and project life span by 10%

US Shall-issue gun law - Data analysis - R May 2019

Executed exploratory analysis of US crime data and examined it for anomalies preparing it for further analysis

Developed pooled OLS, entity fixed, entity and timed fixed regression models in R to study the effect of each variable

Regressed variables against crimes in the US, to provide interesting insights of effect of shall-issue law on crime

Toyota Production System - Operations Management - Case Study April 2019

Investigated Oxford’s paper on Toyota Production System to understand efficient management of an organization

Examined the company problems, operations and Toyota’s effective management and manufacturing principles

Made inferences and reported solutions for the identifiable problems faced by the company

Flight Delays - Data Visualization - https://goo.gl/q6fMMK Feb 2017

Analyzed the flight delay dataset using the data visualization tool ‘Tableau’ and derived insights

Developed a waffle chart to visualize the chances of flight delay and visualized trends in the flight delay by month and days

LEADERSHIP AND ORGANISATIONS

Summer Wildlife Intern - Bhoomi Organization - Census data preparation and analysis April 2015 - May 2015

•Coordinated with the NGO in Western Ghats of India to support their ‘Malabar Giant Squirrel Conservation’ project

•Carried census of squirrels and nests using GPS tracking, making statistical records and prepared data for analysis

•Analyzed self-generated data in Excel to study reasons for decline of squirrel and suggested preventive measures

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