SAHIL PARYANI

www.linkedin.com/in/sahil-paryani adgrfx@r.postjobfree.com 860-***-****

EDUCATION

M.S. Business Analytics and Project Management Connecticut, US Aug 2019 – Dec 2020 School of Business, University of Connecticut GPA 4.0 Relevant Coursework: Statistics, Predictive Modeling, Data Mining, SQL, Data Visualization/Reporting, Big Data Marketing with Strategy B.E. Computer Science Engineering India Aug 2015 - May 2019 Rajiv Gandhi Technical University GPA 3.8

PROFESSIONAL EXPERIENCE

ANALYTICS CONSULTANT Connecticut, US

Connecticut Education Network Sep 2019 - Present

• Led a team of 5 that developed operational strategies to increase market capture, identified customer groups using various clustering algorithms; K-means clustering had the maximum Dunn index of 0.754

• Automated generation of Tableau dashboards, used python pipeline to update business KPIs regularly and improved customer acquisition by 11% within a quarter; also reduced the time spent on report generation from 10 hours to 30 minutes

• Improved Organic and Paid Search Results through data analysis on Google Analytics by 86% resulting in revenue increase by 12% DATA SCIENTIST INTERN India

Alliant Infotech Jan 2018 – Aug 2018

• Identified elements causing attrition for a local food delivery application and conducted cohort analysis of customer life cycle stages

• Investigated customer churn through various Machine Learning models such as Logistic Regression, Decision Trees & XGBoost, and assessed them, XGBoost had the best accuracy of 84% with a precision of 0.67

• Identified 85% of customers likely to churn, collaborated with cross-functional team to devise marketing strategies like special offers, saved $1.2M of revenue being lost

ACADEMIC EXPERIENCE

SIGN LANGUAGE ORATOR Python, TensorFlow, Keras, OpenCV, Scikit-Learn, Neural Networks

• Designed Sign Language Recognition System using image processing & machine learning algorithms such as CNN

• Developed an automated file system to convert images & feed them to dataset to add new signs, eliminating human translator CREDIT CARD FRAUD DETECTION Python, Decision Trees

• Developed classification algorithms such as Logistic Regression, Decision Trees, XGBoost, Discriminant Analysis and used various sampling techniques on standardized data to predict fraudulent transactions; best model was Random Forest with F1 score of 0.92

• Published a Research Paper on “CREDIT CARD FRAUD DETECTION USING HYBRID DEEP NEURAL NETWORK ", © 2018 JETIR SENTIMENT ANALYSIS Natural Language Processing, Python

• Classified US Airlines tweets into positive/negative by analyzing travelers’ sentiment using text mining, NLTK libraries FEMA INDIVIDUAL ASSISTANCE HOUSING REGISTRANTS LARGE DISASTERS SAS JMP, MS Excel

• Performed EDA, data cleaning & feature selection on Hurricane disaster recovery data to evaluate state & local recovery plans

• Optimized estimation process in terms of complexity and time to predict repair amount of the damaged properties under the Federal Emergency Management Agency, improving classification rate for estimation model by 11% VOLUNTEERING & LEADERSHIP

• Operations Head (Gramiksha) – Led a team of 80 volunteers and supervised projects in government schools for 2 years for an NGO

• Social Marketing Head (Grapevine) - Worked as a Campus Ambassador and head of operations in various events from 2017-2019

• Working with Travelers as a Graduate Analytics Consultant to create dashboard visualizations to understand customer engagement and forecasting ways in which time and cost can be reduced efficiently TECHNICAL SKILLS

Languages and Databases: Python, R, C++, Java, Oracle 11g, Teradata, MySQL, SQL Server, Hadoop, PostgreSQL Analytics Tools: Jupyter Notebook, Spyder, Base SAS, SAS Enterprise Miner, SAS JMP, Hive, Pig, MS-Excel, VBA, MS-Visio, MATLAB, Salesforce, Google Analytics, GCP, AWS, PowerBI, Tableau, Qlikview, Github Analytical Skills: Data Cleaning, Data Visualization, Hypothesis Testing, Exploratory Data Analysis, PCA, Logistic and Linear Regression, Decision Trees, Neural Networks, Clustering, Dimension Reduction, Parameter Tuning, A/B testing, PivotTables, Market Basket Analysis, Time Series, ARIMA, Big Data, Text Mining, Customer Profiling, ERD, MapReduce

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