Analyst Resume

SUMMARY:

Highly driven and analytical professional trained in Statistics, Machine Learning, Predictive Modelling and D Confidential Analytics bringing formidable detail - driven insights to solve complex and multi-variant business problems.
Exploratory D Confidential Analysis (EDA), D Confidential Cleansing, D Confidential Visualization and Creation of Analysis Reports using R.
Strong conceptual knowledge of statistical methods including Time Series Analysis and mathematical modeling of Stochastic Processes.
Experience in Structured/Unstructured D Confidential Analysis, Business Analysis, Process Analysis and Modeling.
Creative thinking, Problem solving and Root cause analysis.

TECHNICAL SKILLS:

R: SAS, Python, Tableau, Basic SQL, Excel

Predictive Modeling: D Confidential Mining, Machine Learning, Stochastic Processes, Time Series Analysis, Forecasting, Regression Analysis, Applied Multivariate Analysis, Survival Analysis, Non-Parametric Analysis, Experimental Design, D Confidential Interpretation, Semi/Non-Parametric Regression (Kernel Smoothing, Lowess, Splines), Bootstrapping.

MS Office: Visio, Rational Req. Pro, Quality Center, SharePoint, SQL Server 2012.

PROFESSIONAL EXPERIENCE:

Confidential

Analyst

Responsibilities:

To automate client account mapping with standard knowledge accounts using SQL Server R (2016), which reduced the manual intervention by more than 24 hours.
Stored Procedure: Created Stored Procedure to use R Script with client accounts as Input.
Exact/Fuzzy Matching: Mapped client accounts with knowledge accounts using exact string match of client accounts with previously mapped d Confidential . Fuzzy match was used against already mapped client accounts using Levenshtein similarity in case exact match wasn’t found with a threshold score set.
String Matching: Created custom function to compute similarity scores by splitting client accounts and standard knowledge accounts at word level.
Results: Created comprehensive table of mapped d Confidential providing flexibility to the client to select the option matching their business need.
Indexing: Worked with developers to create indexing algorithm to improve the accuracy based on clients’

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