NA - Recent graduate, MS

RUKMINI SUNIL NAIR

**** **** ****, *** *********, CA 94115 765-***-**** ****************@*****.***

PROFILE

Data Scientist with ~4 years of experience. Performed business planning, capacity planning and monitoring and alerting for the world’s largest social media service to build a data-driven data center scaling strategy. Also executed projects across membership analytics and merchandizing for the world’s largest retailer. Recently graduated with a master’s in Business Analytics and Information Management from Purdue University and seeking full-time analytics opportunities. Tools: SQL, Python, R, Tableau, Hadoop, Presto, Hive, AWS, Excel, VBA Techniques: Machine Learning, Exploratory Analysis, Statistical Inference, Data Mining, Unstructured Data Analysis (Natural Language Processing), Time Series Forecasting, Causal Analysis (A/B testing), Data Visualization PROFESSIONAL EXPERIENCE

WNS Global Services

Assistant Manager - Analytics

Bangalore, India

May 2017 – April 2019

Built scalable tools that performed demand modeling on critical mechanical and electrical equipment based on growth plans of ~120 data centers, and evaluated supply-side risk for estimated demand via what-if analysis using ~10 factors

Devised a SQL-based algorithm to propose best equipment supplier partnerships for data centers based on audits and facilities operations; evaluated quality, delivery/cost, technology et al; cost effectiveness grew by 28% in 4 months

Assembled over 25 self-functional, live and interactive dashboards in Tableau and R-Shiny, ensuring high data quality; performs monitoring and alerting for ~200 sourcing managers and onsite contractors of 85 data centers Mu Sigma Inc.

Decision Scientist

Bangalore, India

January 2017 – March 2017

Developed a framework to target members to liquidate merchandise before overstock date with logistic regression; 36% signed up across 18 US markets, spending a total of ~$2.72Mn in 2 months

Led a team of 5 to recommend optimal space and assortment of items in ~350 US small format stores by employing K-Means Clustering and demand transference techniques, increasing sales per linear feet by ~20%

Performed specialized ad-hoc analyses, ranging from analyzing performance of stores or departments utilizing SQL and MS Excel, to creating ~20 self-operating dashboards in Tableau to synthesize business requests Trainee Decision Scientist May 2015 – January 2017

Built an Order Management Tool to forecast optimum quantity of apparel items by implementing ARIMA in R, reducing understocking and overstocking instances by 38%

Partnered with cross-functional teams to identify loyal first-year members likely to renew membership based on buying patterns, using SQL and Excel; influencing and increasing member engagement by 18%

Automated multiple executive reports in Tableau and MS Excel (Ex.: a traffic dashboard showcasing shoppers, active members and visits at various demographic and portfolio cuts across time frames) EDUCATION

Purdue University, Krannert School of Management

Master of Science in Business Analytics and Information Management West Lafayette, IN

May 2020

Project success prediction on Kickstarter: Built a framework for ~17 million investors to cherry-pick potentially efficacious projects from ~165K projects; leveraged multiple classification algorithms in Python to predict the success of a project based on historical funding, category, goal amount etc.

Craigslist housing scams in San Francisco: Instituted a proposal for Product Managers to detect potentially fraud apartment listings; employed unstructured text and image analytics (using Deep Learning and TensorFlow’s detection models) and industry research to manually train and build a classification model with an accuracy of ~95%

Drivers of footfall of Las Vegas restaurants: Helped ~4,000 restaurant businesses identify attributes that drove footfall; performed Natural Language Processing and regression analysis with ~70% accuracy on Yelp data Amrita Vishwa Vidyapeetham

Bachelor of Technology – Computer Science and Engineering Kollam, India

May 2015

Ranked among the top 5% of the cohort

LEADERSHIP ACTIVITIES, AFFILIATIONS, HONORS

Mentored and trained ~50 new joiners for analytical tools such as SQL, MS Excel, Tableau et al, required for projects

Conducted awareness camps as part of Student Social Responsibility (Aspire India ’13) in rural regions of South India about various Government schemes and organized a cleaning drive; featured in the local newspaper

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