Data Analyst Resume

SUMMARY:

Dynamic and accomplished professional with expertise in analytics and big data seeking a full time challenging and rewarding position to contribute to the future employers' further success
Build professional relationships utilizing exceptional interpersonal, communication and presentation skills.
Proficiency in statistics and analytics.
Good understanding of agile development practices.
Expertise in storytelling using visualization tools like Cognos, Tableau and PowerBI.

TECHNICAL SKILLS:

R, SQL, Java, Hive, Denodo, SPSS Modeler, Druid, Tibco Spotfire, Watson Analytics, Cognos, Tableau, SalesforceMS Excel, PowerBI, pivot tables, Data Mining, Information Retrieval, Social Media Analytics

EXPERIENCE:

Data Analyst

Confidential

Responsibilities:

Reporting Confidential and Confidential statistic for primary healthcare providers
Publishing power Bi report for Confidential
Data modelling for Confidential and Confidential metrics

BI Developer

Confidential, Atlanta, GA

Responsibilities:

Designing scripts for incremental load into Confidential using scoop
Data Modelling in hive
Spark transformation for the data staged in hive using Python
Creating Json scripts in druid to push into the BI tools
Creating dashboard using Tibco Spotfire and Tableau

Big Data Intern

Confidential, Rancho Cordova, CA

Responsibilities:

Collaborated with stakeholders, business analyst and architects to outline business requirements in JRD meetings.
Analysed over 35 million customer’s account data for frames and lenses return with demographic markers and Confidential ’s service plan to identify trends and pattern in the return rate.
Extracted and loaded data from multiple sources (Excel, CSV, SQL Server) to the staging area.
Optimized SQL reports to generate tables and relationships based on the ER diagram for the business use cases.
Data extraction and warehousing to remodel Account 360 module for more than 20 million individual top priority accounts and practices.

Application Development Intern

Confidential

Responsibilities:

Created real time data pipeline from social network Twitter over Apache Spark cluster.
Engineered a N - gram classifier based on Naïve Bayes and SVM algorithms that uses feature vector selection to label the sentiment of a tweet.
Depicted the results for the interested keyword using React D3 libraries showing patterns, trends and reception for the interested keyword over the recorded timeline.
Constructed a collaborative filtering recommendation engine based on latent factor approach.
Extracted and pre-processed data from Movie Lens in Hadoop using various R packages like Mice, Caret.
Used Tableau for visualization of dependencies and pattern in the data before mining.
Computed cosine distance for genre similarity on the movie-user matrices for to depict the recommendation for individual user.
Developed a predictive model using historical data to identify potential customer group with high return rate for prescribed frames and lenses using techniques like logistic regression and classification in SPSS.
Conducted data preparation and outlier detection using SQL, Cognos and Watson Analytics.
Tested the model successfully with the accuracy rate of 74.56 % over the archived data.
Published reports on Cognos for the development environment to facilitate better decision making going forward.
Integrated consumer data from multiple sources identifying the driving metrics and trends in Brand purchases.
Restructured the data to consolidate one account per row over different Brand lines in Confidential ’s market in SPSS.
Incorporated association rules and affinity analysis creating an effective model to use the popularity of one product to drive sales of another.
Visualisation of the brands segmentation using tools like Cognos to facilitate product visibility decisions.

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