Information Technology Data

Prathamesh Sirsikar

***, *** ******, ******, ** *7032 Mobile - 814-***-**** Email - **********.********@*****.*** LinkedIn - https://www.linkedin.com/in/prathamesh-sirsikar/ SUMMARY OF QUALIFICATIONS

• Proficient knowledge in statistics, mathematics, and analytics. Excellent understanding of business operations and analytics tools for effective analyses of data

• Expertise in SQL, R Programming, Data Visualization using Tableau and MS Excel

• Continuously monitoring industry trends, technologies, and standards PROFESSIONAL SKILLS

Detail-oriented and organized

Effective problem-solving skills

Agile and Work well in a fast-paced environment

Excellent writing and communication skills

Professional delivery of projects and awareness of deadlines

Energized by challenges

TECHNICAL SKILLS

• Data mining, Data Wrangling, Web Scraping,

• Data Visualization, Tableau, MS Excel

• Database technologies PL/SQL, R Programming,

Relational Database Management System

• Web technologies HTML5, CSS, JavaScript, Bootstrap

• Familiar with Java, SAS, STATA, and Python

• Microsoft Office (Excel, Word, PowerPoint, Access) EDUCATION

Mercyhurst University

Erie, Pennsylvania

Masters in Data Science

Aug 2015 - May 2017

GPA: 3.6

University of Mumbai

M.E.S. Pillai Institute of Information Technology, New Panvel, India Bachelors in Computer Engineering

Aug 2011 - May 2014

Maharashtra State Board of Technical Education

K. J. Somaiya Polytechnic, Vidyavihar, India

Diploma in Computer Engineering

Aug 2007 - May 2011

PROFESSIONAL EXPERIENCE

The Horror Channel, Remote, New York

Data Analyst & Programmer June 2017 - Present

Responsible for project planning, project strategies and gathering information, cleaning & analyzing horror movies datasets.

Designed and built statistical analysis models on large data sets using R programming and Excel.

Currently working on web application to represent horror movies data to audience. Siddheshwar Group, Pune, India

IT Analyst June 2014 - May 2015

Responsible for collecting, cleaning, analyzing and presenting insights from data to stakeholders using effective charts to aid in decision making process

Analyzed market trends resulting in 12% increase in sales revenue. M.E.S. Pillai Institute of Information Technology

Web Developer, Team Member of IT Department May 2012 - Dec 2012

Developed interactive static web application using HTML/CSS/JavaScript for cultural fest ACADEMIC RESEARCH AND PROJECTS

Mercyhurst University

Fordisc 4.0 – Anthropology Department 2017

Built a predictive model for Fordisc 3.0 that uses machine learning algorithms such as Linear & Quadratic Discriminant Analysis and Classifier, Logistic regression and Random Forest to estimate sex, ancestry, and stature from skeletal measurements of human

Improved the model classification accuracy by 12% using subset feature selection technique and filled missing values using multiple imputation techniques

Healthcare Analytics – Vaccine Adverse Event Reporting System 2017

Researched and analyzed vaccine datasets to aid in process understanding and assess the effectiveness of a treatment using Statistical Process Controls charts in MS Excel Pivot Tables and Charts R-shiny Web applications 2016

Created R-shiny web applications with R programming, using API’s from The New York Times, Marvel, and Open-weather map World Air Transport Statistics - Data Visualization in Tableau 2016

Using Tableau 10.0 designed and developed workbooks, dashboards, global filter page, and complex parameters based calculations.

Presented key findings and insights about the Airline Traffic Data, passengers carried, luggage carried by airlines and Airport statistics

Developed Tableau workbooks to perform year over year, quarter over quarter, YTD, QTD and MTD type of analysis. INTEREST

Data Analyst Business Analyst Software Developer

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