Data Analyst Python

Varun Muralidharan linkedin.com/in/varunmuralidharandata

512-***-**** addpxp@r.postjobfree.com Santa Clara, CA github.com/varunmuralidharan

EDUCATION

University of Texas at Dallas M.S. Business Analytics – Data Science (Honor’s Student) 3.70/4.00 May 2020

Course: Machine Learning, Business Intelligence, Predictive Modeling – Marketing Analytics, Big Data, Statistical analysis

Anna University, India B.E. Computer Science and Engineering April 2018

CORE COMPETENCY

Communication Problem Solver Team Worker Critical Thinking Active Learner Technologist Requirement Gatherer

TECHNICAL SKILLS

Programming: Python (scikit-learn, NumPy, Pandas, TensorFlow - Keras, SpaCy), R, H2O, SAS, SQL, Hadoop, Spark, Hive, git

Machine Learning: Regression, Clustering, Classification, Ensemble methods, decision trees, K-NN, SVM, Naïve Bayes, PCA

Databases & Analytics: Azure ML, MySQL, MS SQL Server, PostgreSQL, NoSQL - MongoDB, Tableau, Power BI, MS Excel, OBIEE

WORK EXPERIENCE

Essilor of America, Dallas, TX

Data Analyst - Consumer experience strategy & Directions May 2019 – November 2019

Achieved a 3.3% increase in target marketing by collaborating with the marketing team to segment customers using hclust

Developed business strategy by framing subscription plans to ensure 2X patient retention and effective treatment delivery

Identified potential $4.2 million markets and used two-stage least square to report price sensitivity for premium lenses

Performed ETL on 8 million health care data transactions, reporting sales, generate insights and suggested areas to improve

Designed and built data model for R&D to facilitate advanced querying from multiple databases

Ericsson, India

Analyst - Research & Development May 2018 – July 2018

Proposed plan to improve the lives of approximately 3.5 million legal refugees migrating into Turkey using call record data

Successfully increased clustering efficiency of regions by 4%, using well-being index data and weighted K-means method

Proved hypothesis on refugee behavior and distribution pattern by applying statistical tests such as t-test, ANOVA

Effectively created 18+ dashboards using Tableau, R, Google maps API to depict characteristics of refugees and cities

PROJECTS WORKS

Amazon Review Polarity Analysis (Python, text mining, Word2vec, TFIDF, NLP - NLTK, pipelining, VADER):

Improved the accuracy of review classification by 9% using Natural Language Processing (NLP) - VADER to find polarity, accommodating impact of expressions and semantics in reviews

Wendy’s Revenue Augmentation - Predictive Modeling (SAS, correlation, data visualization - Power BI):

Lead a team of 4 people, proposing a methodology to increase revenue up to 9% by identifying KPIs, consumer segments (RFM), price sensitivity, product combinations and expand loyalty base by optimizing promotional activities

Smart Transit System ((Published in IJPAM) R Shiny, JavaScript, MySQL, time series forecasting - ARIMA, GLM, dplyr, caret):

Created an application and a dynamic analysis dashboard to improve public transportation using R shiny and cloud server

Identified trends of commuters to optimize the frequency of routes, reporting live status, ETA along with seat availability

Vehicle Loan Default Prediction (Python, Scikit-learn, decision tree, AdaBoost):

Classified the customer’s ability to pay the installments on time, using credibility record and profile in the banking domain, and increased the accuracy by applying advanced algorithms such as bagging and boosting models

CERTIFICATIONS & COURSES

Neural Networks & Deep Learning - Coursera, DB5 - Stanford Lagunita, Adobe & Google Analytics, A/B testing, Jira - Agile

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