Decision Analyst Resume

SUMMARY

SAS Certified Statistical Business Analyst professional with three years of experience specializing in Data analysis, Data science, Machine Learning and Tableau
Worked on analyzing large datasets on distributed databases and developing ML algorithms to gain operational insights
Extensively involved in Data preparation, Exploratory analysis, Feature engineering using Supervised and unsupervised modeling
Well versed with Linear/non - linear, regression, classification modeling predictive algorithms and model selection
Performed preliminary data analysis using descriptive statistics and handled anomalies such as removing duplicates and imputing missing values
Performed Dimensionality reduction using near zero variance, correlation techniques and Statistical analysis
Performed multiple Data Mining techniques and derived new insights from the data
Validated the consolidated data and developed the model that best fits the data
Created dashboards as part of Data Visualization using Tableau
Team player with good logical reasoning ability, coordination and interpersonal skills
Able to complete projects independently as well as within a team environment

TECHNICAL SKILLS

Analysis Tools: SAS Enterprise Miner, SAP BO/Lumira/HANA, Advanced MS Excel, Analytic Solver Visualization Tableau, ggplot in R, matplotlib and seaborn in Python Programming SQL, R, Python, SAS, STATA

Database/RDBMS: Microsoft SQL server, MySQL, MS Access, Oracle DB Big Data Hadoop, Hive, Pig, Shell scripting/Linux Commands

Stat Modelling: Logistic, Multiple Regression, ANOVA, Predictive Modeling, Conjoint Analysis, Survival Analysis, Hypothesis Testing, Multinomial choice Models, Panel Data, Time Series

ML tool kit: PCA, Logistic, Decision trees, Naive Bayes, SVM, Random Forest, Gradient Boosting, Neural Networks, KNN, K means, K Means ++, Hierarchical Clustering, Text mining

PROFESSIONAL EXPERIENCE

Confidential

Decision Analyst

Responsibilities:

Conducted statistical analysis to evaluate risk for 500+ clients valued over $5M
Performed extensive data mining in various lines of business
Prepared 100+ reports depicting bona fide claims, its marginal TEMPeffects, exposure, loss analytics and key drivers of risk
Visualized modeling results in Tableau which stimulated decision making

Confidential

IT System Analyst

Responsibilities:

Performed data extraction from databases using SQL queries for campaign analysis
Worked with huge datasets for data cleansing/scrubbing analysis, data manipulation and data mining
Analyzed market, product and customer data; consistently communicated key findings for campaign TEMPeffectiveness
Utilized Tableau to visualize the customized reports and distributed it to stakeholders through Tableau server

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