Data Sales

Radha Chawla • 203-***-**** • *****.******@*****.*** • LinkedIn

Somerset, New Jersey

SAS Certified, Data Scientist with 5+ years’ experience in data wrangling, modeling, visualization, team management and DBA; Proficient in working with cross-functional teams and communicating actionable insights to stakeholders; Expert in using stats and machine-learning to find useful insights in data & presenting those insights with dashboards and automated reports.

EDUCATION:

M.S. in Business Analytics and Project Management; University of Connecticut, GPA: 3.97/4.0 May 2017

Coursework: Statistics, Predictive Modeling, Data Science using Python, Hadoop, Data Mining & Business Intelligence.

Bachelor of Engineering in Electronics and Communication; Kuk University, Ambala India Jun 2010

SKILLS:

Techniques: Machine Learning Algorithms, Linear/Logistic Regression, Regularization, ANOVA, Database Management, Business decision modeling, Data visualization, Clustering, A/B testing (multivariate), Decision tree, Data mining, Text mining, Forecasting, Bagging, Random Forest, Boosting, Panel data analysis, Factor Analysis, v-lookups, pivot tables.

Tools: Tableau, R, SQL, Advanced-Excel, SAS Forecast, SAS Jmp, SAS base, Pig, Hive, Sqoop, Big data Hadoop, Python, Unix, MS Project, MS Office.

WORK EXPERIENCE:

Data Analyst Research Assistant, University of Connecticut Jul 2016 – May 2017

Assist the supervisor with the new database setup, data exploration, and its consistency.

Include applied statistics, data preparation, analysis, modeling techniques, forecasting, day to day analytics challenges.

Provided recommendations to increase average survival time of a Stack Overflow user using SAS.

Proposed improvements using techniques to increase user participation by extracting data through T-SQL and analyzing the factors influencing user participation using panel data analysis in R.

Tata Consultancy Services Oct 2013 - Jun 2015

Conducted end-to-end analysis which included data gathering, requirements specification, worked on daily data queries and towards reducing customer churn rate to benchmark client’s KPI that increased the overall performance efficiency by 3-4%. (Client: Reliance Jio)

Worked on formulating, approaching, and solving problems on massive datasets, extracting data through SQL queries.

Designed and automated dashboard in Tableau to visualize data to enhance real-time decision making.

Created models using machine learning, statistical techniques like regression, decision tree, using large amounts of data, applied transformation, used R packages and algorithms for fraud detection. (Client: GE Retail)

Led a team of four analytical members, worked in close relationship with customer in multi project environment, demonstrated strong communication verbal /written skills, have effectively discussed models with other data-scientists as well as business partners at the appropriate level of technical detail. (Client: Eli Lilly Pharmaceutical)

Capgemini (iGate) Dec 2010 - Oct 2013

Collaborated with consumer and product analytics team, interpreted trends and patterns in client data, producing interpretable, meaningful, and compelling insights for the client organization leading to improvement by 3-3.5%.

Performed analyses of requirements and created reports using advanced Excel, v lookups, pivot charts, PowerPoint charts, checked group reports against individual dashboards, tracing any inconsistencies to the source & rectify them.

Worked on data extraction through Hadoop - Hive for ETL purpose to predict growth of data traffic, based on customer demographic, financial data and data usage profiles worked on forecasting models and made recommendations which improved performance by 1-1.5%.

ADVANCED ANALYTICS PROJECT:

Time Series Forecasting of NYC Green Taxi – Forecasted the monthly sales of green taxi and built recommendations for future sales and compared it with Uber data using ARIMA and Exponential Smoothing based on MAPE.

Predicted BigMart Sales for 10 different stores - Built different statistical models based on clustering & segmentation model to predict the sales. Used model accuracy parameters and performed cost-benefit analysis to select the best model.

User’s behavior analysis for Stack Overflow Exchange Data – Performed panel data analysis over different months and years which shows how the reputation of the user varies over different time periods.

Extracted the data through SQL queries and created dashboards on Tableau for presenting the change in user’s behavior.

CERTIFICATIONS:

SAS BASE Certified (BP062844v9) Aug 2016

SAS Certified Statistical Business Analyst Using SAS 9 (SBARM003116v9) Jan 2017

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