Python Data Analyst

Naga Sai Suhas Somu

addt5g@r.postjobfree.com 332-***-****

SUMMARY

Data Analytics professional with 4 years of experience, developed and implemented business-focused data-driven analytical solutions. Expert knowledge of mathematical concepts and Statistical models. High proficiency in Python, R, SQL, and TABLEAU EDUCATION

University of Connecticut School of Business Dec 2019 Master’s in Business Analytics & Project Management, 3.8 Coursework: Statistics in R, Predictive Analysis, Visual Analytics, Data Mining and Business Intelligence, Data Science with Python Vellore Institute of Technology University (VIT) May 2016 Bachelor of Technology, Mechanical Engineering, 3.45 Coursework: Linear Algebra, Calculus, C, C++, Database Management Systems, Object Oriented Programming, Operations Research SKILLS AND CERTIFICATIONS

Programming Languages & Tools: Python, R, SQL, TABLEAU, Power BI, Sisense, MS Excel, Oracle, Heap, SAS, Excel, Snowflake Data/Business Analysis Techniques: Exploratory Analysis, Causality Analysis, Statistical Analysis, Machine Learning, Data Visualization, Regression Analysis(categorial & continuous), Clustering (K-Means & Hierarchical), Outlier Analysis, Multivariate Analysis, A/B testing Certifications: Customer Analytics (UPenn, 2018), Advanced Google Analytics, Machine Learning (Stanford University, 2018) PROFESSIONAL EXPERIENCE

Inflection, Redwood City, CA

Data and Research Analyst SQL Python Sisense Excel Feb 2020 – Present

• Identified, analyzed, and interpreted trends and patterns in customer behavior data sets of varying size and complexity

• Developed various statistical models to predict Power Users (users with tremendous life-time value) and integrated the models with marketing automation tools, also created customized nurture campaigns to the predicted power users on rolling basis

• Developed automated dashboards in Sisense which gets updated based on stored procedures to track the performance of customers across various segments, also created metrics with which overall performance can be captured accurately

• Evaluated single and multi-channel marketing campaigns to determine the greatest Return of Investment on marketing spend

• Designed & evaluated A/B tests as well as observational studies. Implemented the significant positive test results to production Marlette Funding, LLC, Wilmington, DE

Data Scientist, Python Power BI SQL Dataiku Heap Snowflake May 2019 – Dec 2019

• Developed and deployed logistic model with 76% accuracy on 12 Million records, for predicting close to 1.5 M potential customers to be included in marketing campaigns which lead to a projected 12% increase in origination fee

• Increased the number of leads received by 55% and reduced the customer acquisition cost by 38% by shifting the affiliate strategy from cost-per-loan to cost-per-lead and iteratively optimizing the strategy on a monthly basis to improve further

• Leveraged advanced analytics packages in python like Scikit-learn, Seaborn, NumPy, pandas and Matplotlib for data modelling

• Extracted data using complex SQL queries & created automated monthly projections report with KPIs like conversion rate, cost per lead etc. which is used by business owners and other analysts to understand the trends of KPIs and make business decisions

• Worked with channel managers, product, credit, data and BI teams to develop and maintain consistent metrics, reporting and monitoring around campaign/channel funnel conversion, return on investment and profit performance as well as campaign/ channel planning and forecasting

Capital Community College (CCC), Hartford CT Jan 2019 – May 2019 Analytics Consultant Python SAS JMP TABLEAU

• Identified the factors responsible for the student drop out, and provide insights which can increase the overall retention by 9%

• Implemented K-Means clustering and developed a logistic regression to predict the probability of retention at student level Cognizant Technology Solutions, Hyderabad, India Jul 2016 – Jun 2018 Data Analyst Python TABLEAU Excel SQL

• Driver Analysis: Led team of 3 analysts working on driver analysis model to identify major drivers responsible for decline in sales of a blockbuster drug accumulating ~80% of client portfolio through Linear Regression; and provided strategic recommendations

• Customer Segmentation: Created customer segmentation list using hierarchical clustering technique based on historical sales activity and behavioral metrics to help customer targeting for a launch product in specialty market

• Data Analysis : Performed Deep dive analysis to understand drivers of marketing to shape ongoing and future campaigns

• Business Intelligence : Developed various automated dashboards in Tableau for reporting and forecasting purposes

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