Web Developer Data

NACHIKET KAWITKAR

***#*, N. Duncan St., Stillwater, OK 74075 LinkedIn: https://www.linkedin.com/in/kawitka *******@*******.*** 405-***-**** SUMMARY

Experience in successfully implementing data projects right from requirement gathering to analysis and visualization

Hands-on experience in data extraction, preparation (merging, replacing, transforming) and analyzing data to derive value

Proficient in Statistical Analysis languages – SQL, SAS, IBM SPSS Modeler, R, Python and Visualization tool – Tableau, JMP

Strong Visualization skills - adept at building interactive dashboards giving multiple views to better understand the data EDUCATION

Master of Science in Business Analytics, Oklahoma State University, USA GPA: 3.68 May ‘17

Bachelor of Engineering in Electronics & Tele-Communication, University of Pune, India GPA: 3.60 May ‘13 ACADEMIC PROJECTS

SAS Analytics Shootout 2017 – Understanding Wildfires Feb ’17 – May ‘17

Examining wildfire events and the understanding the conditions, causes, and impacts of wildfire activity

Research to help individual better prepare for future events, saving money and more importantly, lives HR Analytics – Why the best and most experienced employees leave prematurely? Jan ’17 – May ‘17

Analyzed important factors affecting the employee churn rate using decision tree in R

Developed logistic regression and neural network to determine the impact of various parameters in Python

Built clusters to profile employees and predict the next possible one to churn COMCAST Practicum – Product Recommendation Engine Sep ’16 – Dec ‘16

Designed regression models identifying prospects and suggest optimal combination of products for the prospective buyer

Performed logistic regression to classify population base into prospects and non-prospects

Utilized demographic, past credit history among other internal variables to profile prospects and suggest best product mix Customer Lifetime Value Analysis – Segmentation and Modeling Aug ’16

Using historic customer data, built predictive models to forecast churn probabilities and estimate future margins

Developed scorecards to divide customer base into different segments based on probability of retention and profitability

Solicit different customer segments with segment specific marketing strategies to mitigate risk and improve CFV of donors TECHNICAL SKILLS & CERTIFICATIONS

Skills: Tableau, SQL, R, Python, JMP, Base SAS, SAS Enterprise Guide, SAS Enterprise Miner, SAS Sentiment Analysis Studio Certifications: SAS Certified Predictive Modeler Using SAS Enterprise Miner 13 (License No. PMEM000743v13) SAS Certified Advance Programmer for SAS 9 (License No. AP017116v9) SAS Certified Base Programmer for SAS 9 (License No: BP055392v9) SAS Certified Statistical Business Analyst Using SAS 9: Regression and Modeling (License No: SBARM002275v9) WORK EXPERIENCE

Risk Analyst Intern (GRA) Elevate Credit Service LLC, USA Jun ’16 – Dec ‘16

Conducted research projects incorporating data merging and analysis, summarization of findings and presentation using Tableau

Promoted innovative ways to visualize and digest complex data by building interactive dashboards on credit portfolio

Proactively created, monitored and reported relevant changes in portfolio performance to Risk Management team using SAS/SQL Data Analyst Intern Tree Public Foundation, India Nov ‘14 – Jun ‘15

Analyzed data and assisted in the implementation of process improvement to achieve better tree survival ratio

Worked directly with internal management to create/adjust reports to effectively communicate portfolio performance

Summarized findings and presented analyses to Executive Committee in a clear, concise and actionable format Web Developer Trainee Ranadive Consultancy Services (RCS) Pvt. Ltd., India Jun ‘13 – Nov ‘14

Developed front end of web applications and company website for deployment

Worked on internal projects which involved society forums, blogs and e-commerce websites

Lead a team of three web developer interns on a project involving translation of English to Russian website PUBLICATION

Sentiment Analysis of Opinions about Self-driving Car – SAS Global Forum 2017 Conference Orlando, SAS Analytics Experience 2016 Conference Las Vegas and South Central SAS Users Group 2016 Conference San Antonio

Generated a quick summary of over 7,000 Twitter comments by performing text parsing, filtering and using concept links

Analyzed the comments by creating text clusters of similar terms in SAS Enterprise Miner

Predicted sentiments of twitter users opinion by classifying positive and negative comments using SAS Sentiment Analysis Studio

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