Data Scientist

NEWMENJI JOSE PATRIS

Specialist in Business Analysis and Data Science

www.linkedin.com/in/newmenji

**********@*****.***

765-***-****

Creative and business-savvy data analytics professional with progressive experience and in-depth knowledge in data preparation, manipulation, visualization, and modeling. Proven ability to combine vision, ingenuity, and strong business acumen with well-developed leadership qualities in positioning companies and products for success. Areas of Expertise:

• Econometrics • Business Analysis • Project Management

• Predictive Analytics • Supply Chain Analytics • Strategic Planning

• Forecasting • Statistics • Business Process Analytics

• Machine Learning • Natural Language Processing • Operations Research Tools:

R, Python, SQL, Tableau, Advanced MS Excel, SAS, Minitab, R Shiny, QlikView, MATLAB. Work Experience:

HCL Technologies, Washington Data Scientist Intern May 2017 – Dec 2017 Recommender System: Tools used: R, Python

• Developed a distinctive algorithm based on deep-dive statistical analysis and Natural Language Processing (NLP) to predict the boolean strings for candidate search and forecast the future demand thereby triggering a 23% reduction in the cost to hire.

• Involved extensive data cleaning of raw job descriptions, data exploration, predictive model building for classification, clustering followed by the development of a user-friendly web-based application using R Shiny. Maruti Suzuki India Ltd, India Business Data Analyst Jul 2013 – Jul 2016 Strategic Planning and Business Analytics: Tools used: SQL, BI tool, Advanced MS Excel

• Conducted quantitative analysis of financial data to forecast revenue, identify future trends, and assess the risk associated with capital expenditures and dealer network expansion projects.

• Expanded profits by 15% by building customer segmentation models and implementing business strategies for reducing the churn rate.

• Improved the operational efficiency of service systems and processes by 9% by identifying bottlenecks through data analysis saving $230K.

Education:

Purdue University, West Lafayette M.S in Industrial Engineering CGPA 3.7/4 May 2018 PSG College of Technology, India B.E in Mechanical Engineering CGPA 8.5/10 May 2013 Technical Competencies:

Machine Learning: Classification, Regression, Clustering, Feature Engineering. Statistical Methods: A/B testing, time series, hypothesis testing and confidence intervals, principal component analysis, factor analysis.

Kaggle Projects:

Credit Risk Modelling, Avito Demand Prediction Challenge, Donorschoose.org Recommendation Challenge, Fraud Detection Challenge, Titanic Survival Prediction.

Academic Projects:

Cisco Sales Enablement Analytics Case Competition 2018 (3rd Position) Objective: To predict the likelihood of contract renewal and find the primary drivers for renewals. Methodology: Formulating hypothesis, exploratory data analysis, statistical modeling, strategic recommendation, financial analysis.

Recommendations: Identified the key features, patterns and recommended a business model based on RFM (Recency, Frequency and Monetary value) to improve their short and long-term ROI. https://github.com/Jpnewmenji

https://www.kaggle.com/jpnewmenji

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