Shaivya Kodan

510-***-**** adldoj@r.postjobfree.com

SUMMARY

Highly energetic individual known for implementing effective processes that delivers cost-saving efficiencies. Skilled in Data Analysis, Statistical Techniques & Machine Learning, while establishing effective & lasting relationships with stakeholders. EDUCATION

Master of Science – Statistics (Minors Data Science) Aug 2019 – May 2021 University of Texas at Dallas, TX, USA

Bachelor of Arts – Economics Jul 2011 – Jun 2014

University of Delhi, DL, India

Post Graduate Program – Business Analytics Jul 2015 – Mar 2016 Praxis Business School, WB, India

TECHNICAL SKILLS

Programming Languages: SQL, NoSQL, Python, R, Spark, Excel Visualization: Tableau, Python – matplotlib, seaborn Other Skills: GitHub (GIT), Trello, AWS,SAS, Microsoft Suite, JavaScript, JIRA Academic Certifications: Oracle Cloud Infrastructure Associate, Tableau Author WORK EXPERIENCE

Data Science Intern, Inguo, Remote, USA Aug 2020 – Dec 2020

Designed and developed case studies for clients that involved pre-processing data in python, building Directed Acyclic Graphs

(DAG) in Inguo tool to provide insights

Collaborated with researchers to understand and develop new functions like attribution analysis and variable shrink to be built inside the Inguo tool for causal graphs

Acquired statistical causal inference skills by working on causal graphs, understanding its algorithm with NEC labs researchers Data Analyst, Bharti Airtel, Gurgaon, IN Aug 2017 – Jul 2019

Built classification models to study customer segments using python in Jupyter Notebooks, helping marketing teams to develop desired campaigns targeting essential customers only reducing their costs by 2-3%

Created anomaly detecting model in R using logistic regression to check data traffic wherein observed anomalies increase by 80% in weekends and festive seasons by geographical location

Built forecasting model on Network Capacity saturations to manage traffic efficiently that improved Value-to-Services in customer feedback channels by 3.2%

Built B2B Churn prediction model to identify root cause of customers discontinuing the services, helping team to reduce their next month churn by 2-3%

Co-authored white paper “Classifying Smartphones performance on Radio Trace Data” with Department Head Data Science Consultant, Capgemini, Bangalore, IN Jun 2016 – Jul 2017

Designed a warranty Analytics in R, analyzing the patterns of failures in automotive parts to evaluate their warranty plans and aided them to have check-in of their inventory that helped reducing their cost by about 5%

Performed exploratory data analysis for retail stores to identify key factors for lift of certain items and sales reps

Conducted A/B tests for retail client tracking their products value and reducing their search and campaign costs by 2% Process Associate, Royal Bank of Scotland, Gurgaon, IN Sep 2014 – Jun 2015

Supported business operations process maintaining transaction reports of corporate customers and ran analysis on those weekly

Steered efforts in charting CRM reports for simplifying customer lifecycle team PROJECTS AND VOLUNTEERING

Predictive Modelling of Google Play Store Data Using R Oct 2020 – Nov 2020

Worked on dataset of 10,000 rows and 13 variables to know what category of apps can have more downloads/installs

Performed Exploratory analysis & applied supervised algorithms namely logistic regression, K nearest neighbor and ensemble

These were compared on metrics like accuracy, ROC. Ensemble model with an accuracy of 93.58% was selected out of all NLP Based Classification Model SMS Data Using Python Nov 2020 – Dec 2020

Worked on 425 SMS data on detecting spam messages collected from Grumble text website.

Performed Exploratory analysis and built a classification model utilizing NLP text classification approach. Women Who Code Data Science – Lead Volunteer Dec 2020 – Present

Lead Statistics and Data Science Webinar Series as track lead, supporting speaker and moderating various platforms Female Laboratory of Innovative Knowledge – Ambassador Dec 2020 – Present

Conduct data analysis for a various companies and track their campaigns reach using Google Analytics

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