- Strong analytical skills
- Structured query language (SQL) expert
- Strong collaborative skills
- Excellent problem solving skills
- Business process improvement
- Advanced Excel modeling
- Requirements gathering
- Superb communication skills
- Critical thinking
- Decisive
Coursework in [Course Name]Emphasis in [Name of Emphasis]
[Number] GPA
Nevada, MO, 07/2015 - 09/2015
Identified process boundaries and determined opportunities to automate processes and functions
Manipulated data using pivot tables, pivot charts and macros.
Boosted company efficiency and customer satisfaction by streamlining processes deemed inefficient
Conducted activity-based analysis of business processes and made recommendations based on the findings
Documented process flows and developed requirements for functional improvements and enhancements
Tracked, analyzed and interpreted trends in [Data type] data.
Developed metrics used to determine inefficiencies and areas for improvement.
Reduced organizational operating costs by [Number]% by streamlining processes
Analyzed ratings and programming features of competitors to evaluate the effectiveness of marketing strategies.
Gathered and analyzed performance metric data.
Rochester, NY, 06/2014 - 07/2015
- Data Exploration and Preparation: Explored and evaluated over 40 proprietary, public, and third party data sources to identify top 20 prioritized sources and prepare a single data source with over 1000 variables for modeling using SAS, SQL.
- Modeled Fire Severity: Built a predictive model to assess/predict the fire fighting capability of a given community as a function of several geo-specific, fire department and other neighborhood components like distance to hydrant, distance to fire stations.
- Risk Assessment and Storytelling: Presented the final result to internal business units to explore the potential of PPC(Public Protection Classification) valued over $30million in the pricing and underwriting space for P&C insurers to assess the risk of a property.
City, STATE, 09/2013 - 02/2014
- Identifying Key Metrics: Utilized data collected from the GEOTAB device and built driver scorecards to monitor their progress using variables like rate of acceleration, over-speeding events, and hard stops Increased Operational Efficiency: Analyzed data to measure fleet's performance against overall fleet averages and improved operational efficiency by 80% Return on Investment: Calculated ROI for fleets by showcasing fuel savings, distance reduction and safety improvement measures to save 30% of their overall fuel cost Infosys Limited, Business Intelligence Developer July'11-July'13 Requirement Gathering: Gathered, organized business requirements and converted them into technical specifications for the development of OPSBANK application to store health and science related information on Oracle database Development&Testing: Facilitated user acceptance testing to see the module to completion and increased decision making transparency for end users by 70%, using ad-hoc monthly reports Business Processes: Streamlined critical existing business processes and determined key local regulatory requirements at each locale before starting the development and implementation process, to increase the efficiency by 65%.
Data Analysis - SQL, SAS, R, SPSS, Advanced Excel, MySQL
*Statistics and Machine Learning- Exploratory Data Analysis, Hypothesis Testing, Linear Regression, Logistic Regression, Classification, Decision Trees, Clustering, Neural Networks, Deep learning, Ensemble modeling, Random Forest
*Business Intelligence-Tableau, MS SQL Server, MicroStrategy, Business Objects, Relational Databases
Avnet Inc.: Applying optimization to improve global cost efficiencies, capital savings through planning and resource utilization.Maximizing revenue models by minimizing travel, entertainment and logistics expenses.Modeling and simulating small improvements that would make a significant impact to the bottom line.On-site, Capstone project] PayPal Mafia: Developed SQL database for each founders' information to study commonality, interdependencies, interactions and relationships in data sets with simple scripts, algorithm and statistical inference IBM Watson The Great Mind Challenge 2014: Participated and developed a machine learning algorithm using IBM SPSS Modeler to assign TRUE/FALSE labels to question/answer pairs with an accuracy of over 90% Kaggle-Amazon Employee Access Challenge: Built a model to predict employee's access given his/her job role by minimizing the human involvement to grant or revoke employee access with 80% accuracy using various data mining classification techniques Hourly Wage Analysis: Engineered models conducting multiple regression using SAS to explain about 70% of the variation in hourly wages of workers and also investigated the key drivers like education, experience and gender that drove hourly wages.ad, automate, benchmarking, Business Intelligence, Business Processes, C, competitive, credit, decision making, financial, marketing, modeling, Oracle database, Developer, predict, pricing, processes, Process Improvement, progress, Requirement, Risk Assessment, safety, SAS, SQL, strategy, underwriting, VBA
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School Attended
- Analytics W.P. Carey School of Business, Arizona State University
- Anna University
Job Titles Held:
- Statistical Modeling Analyst
- Associate Analytical Scientist
- Business Analyst Intern
Degrees
- Master of Science
- Bachelor of Engineering
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