Vivekpandian Veerapandian

Sunnyvale, CA adjklb@r.postjobfree.com 214-***-****

github.com/vivekpandian08 website: vivekpandian08.github.io linkedin.com/in/vivekpandian8

Data Scientist with 3-years of experience in extracting business insights from data points by building Linear and Non-Linear models. Equipped with in-depth knowledge and practice of deploying scalable end-to-end machine learning models in the Cloud.

EDUCATION

M.S., Data Science and Business Analytics, The University of Texas at Dallas GPA: 3.67 Dec 2020

Coursework: Statistics, Predictive Analytics, Econometrics, Time Series Forecasting, Machine Learning, Deep Learning

Project Mentor, BALC: Mentored 15 Grad Students in an Intra College ML project competition, and secured 3rd place

B.E., Electronics and Communication, College of Engineering Guindy, India May 2011

SKILLS

Programming : Python (Scikit-learn, Pandas, Numpy, TensorFlow, PyTorch, Keras, OpenCV, PySpark), R, SQL, SAS

Data Visualization : Tableau, Power BI, Shiny, GGPlot2, Plotly, Matplotlib, Seaborn, Bokeh

Databases & Bigdata : BigQuery, MySQL, PostgreSQL, Oracle, Graph, MongoDB (NoSQL), Hadoop, Hive, Spark

ML Concepts : Hypothesis Testing, Regression, Classification, Unsupervised Learning, Anomaly Detection

Computer Vision : Convolution Neural Networks, VGG16, GoogLenet, Alexnet, ResNET, RCNN, YOLO

PROFESSIONAL EXPERIENCE

Senior Data Scientist, Ordermycake.in Jan 2015 – June 2018

Technologies: Python, Jupyter Notebook, R, MySQL, Tableau, AWS EC2, S3

Generated 18% increase in revenue to $5k in 2017 by leveraging sentiment analysis, extracting topics and key phrases on customers feedback, and suggested a new payment method to solve delivery problems

Implemented marketing campaign using A/B testing to identify effective campaign, resulted in a 30% increase in sales

Revamped coupon mailing strategy for 3 customer segments by clustering using K-means and identifying the most engaging coupons leading to a 12% estimated increase in headcount

Identified 4500 potential churn customers by developing ML models and mitigated 36% by offering them discounts

Recommended optimized price for products by web scraping and data mining to analyze competitor product prices, leading to a $3K increase in yearly revenue

Led a 10-member cross-functional team to build an end to end B2C platform to expand the operations from 2 to 8 cities

Software Engineer, Cluster Wireless Software Mar 2012 – Sept 2014

•Technologies: MySQL, C

•Designed SQL queries to extract information from IoT sensor data and identified anomalies by K-means clustering

•Analyzed product pain points and collaborated with a multi-functional team to develop robust solutions to meet client requirements, increased project conversion to 30%

INTERNSHIP EXPERIENCE

Data Science Intern, SuperWorld, United States Sept 2020 – Present

Technologies: R, Python, Google Analytics

Built Predictive model using Decision Tree to find the likelihood of a purchase from clickstream data and optimize the model by adding new features to improve the precision rate to 76%

PERSONAL PROJECTS (DATA SCIENCE)

Can I predict your food? Maybe I Can! Android SDK, Python (Deep Learning, GPU) Sept 2020 – Present

Gathered food images using JavaScript Console Window and python, and labeling by “LabelImg” annotation tool

Designed a prototype that takes data from users and does end to end ML to classify foods using TensorFlow Lite

Automatic License Plate Recognition (ANPR) Python (Object Detection) Mar 2020 – Aug 2020

Developed a model in OpenCV using python which identifies number plate from any image and extracts text out of it

Implemented morphological image processing techniques, Edge Detection filters, and open-source OCR library tesseract

Traffic Sign Recognition for Autonomous Driving Python (Image Classification) Oct 2019 – Jan 2020

• Pre-processed images and experimented with 5 different CNN architectures using Tensorflow to classify 43 traffic signs

Deployed an interactive web APP that classifies traffic sign from user input using Flask(REST API) and Kubernetes on GCP

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