SUMMARY:

• Well around 5 years of working experience as a D Confidential Scientist & D Confidential Analyst.
• Leverage a wide range of d Confidential analysis, machine learning and statistical modeling algorithms and methods to solve business problems.
• Experience working in Agile Scrum Software Development.
• Knowledge in Cloud services such as Microsoft Azure and Amazon AWS.
• Knowledge about Big D Confidential toolkits like Mahout, Spark ML, H2O.
• Professional working experience in Machine learning algorithms such as Linear Regression, Logistic Regression, Random Forests, Decision Trees, K - Means Clustering and Association Rules.
• Deep expertise with Statistical Analysis, D Confidential mining and Machine Learning Skills using R, Python and SQL.
• Proficient in managing entire d Confidential science project life cycle and actively involved in all the phases of project.
• Hands on Spark MLlib utilities such as including classification, regression, clustering, collaborative filtering, dimensionality reduction.
• Strong skills in Machine Learning algorithms such as Linear Regression, Logistic Regression, Naive Bayes, Decision Tree, Random Forest, Support Vector Machine, K-Nearest-Neighbors, K-means Clustering, Neural networks, Ensemble Methods.
• Working experience in implementing Machine Learning Algorithms using MLLib and Mahout in Hadoop ecosystem and Apache Spark framework such as HDFS, Map Reduce, HiveQL, Spark SQL and PySpark.
• Hands on experience Hadoop, Deep Learning Text Analytics and Confidential D Confidential Science work bench tools.
• Hands on experience in D Confidential Governance, D Confidential Mining, D Confidential Analysis, D Confidential Validation, Predictive modeling, D Confidential Lineage and D Confidential Visualization in all the phases of the D Confidential Science Life Cycle.
• Extensively worked for d Confidential analysis using R Studio, SQL, Tableau and other BI tools.
• Working with large sets of complex d Confidential sets that include structured, semi-structured and unstructured d Confidential and discover meaningful business insights.
• Knowledge in NoSQL d Confidential bases such as HBase, Cassandra, and Mongo DB etc.
• Highly skilled in using statistical analysis using R, SPSS, Matlab and Excel.
• Experience working with SAS Language for validating d Confidential and generating reports.
• Experience working with Web languages such as Html, CSS, Rshiny etc.
• Strong D Confidential Analysis skills using business intelligence, SQL and MS Office Tools.
• Strong SQL Server programming skills, with experience in working with functions, packages and triggers.
• Hands on experience in implementing LDA, Naive Bayes and skilled in Random Forests, Decision Trees, Linear and Logistic Regression, SVM, Clustering, neural networks, Principle Component Analysis and good knowledge on Recommender Systems.
• Highly skilled in using Hadoop (pig and Hive) for basic analysis and extraction of d Confidential in the infrastructure to provide D Confidential Summarization.
• Highly skilled in using visualization tools like Tableau, ggplot2 and d3.js for creating dashboards.

TECHNICAL SKILLS:

Machine Learning: Linear regression, Logistic regression, Decision tree, Random Forest, K nearest neighbor, K mean, Avro, MLbase

D Confidential Science tool: R 3.5.0, Python 3.6.5, MATLAB

D Confidential base: Oracle 12c, MS Access 2016, SQL Server 2017, Sybase and DB2, Terad Confidential r15, Hive 2.3

D Confidential Modeling Tools: Erwin 9.7, ER/Studio, Star-Schema Modeling, Snowflake Schema Modeling, FACT and dimension tables, Pivot Tables.

Big D Confidential: Hadoop 3.0, Spark 2.3, Hive 2.3, Cassandra 3.11, MongoDB 3.6, MapReduce, Sqoop.

Operating Systems: Microsoft Windows 9x / NT / 2000/XP / Vista/7/8/10 and Unix.

BI Tools: Tableau, Tableau server, Tableau Reader, SAP Business Objects, Crystal Reports

Languages: SQL, PL/SQL, ASP, Visual Basic, XML, Python 3.6.5, SQL, T-SQL, SQL Server, C, C++, JAVA, HTML 5, UNIX shell scripting, PERL

Applications: Toad for Oracle, Oracle SQL Developer, MS Word 2017, MS Excel 2016, MS Power Point 2017, Terad Confidential r15.

Operating System: Windows, Unix, Sun Solaris

Methodologies: Agile, RAD, JAD, RUP, UML, System Development Life Cycle (SDLC), Ralph Kimball and Bill Inmon, Waterfall Model.

WORK EXPERIENCE:

Confidential

Sr. Scientist

Responsibilities:

• Working as D Confidential Scientist in extraction d Confidential and preparing d Confidential according to business requirements.
• Led d Confidential discovery, handling structured and unstructured d Confidential, cleaning and performing descriptive analysis, and preparing d Confidential sets.
• Worked with Machine learning algorithms like Regressions (linear, logistic), SVMs and Decision trees.
• Extracted Text d Confidential from XML files and performed topic modeling on top of it.
• Worked extensively with IVR developers and Business Analysts to understand the IVR call flow.
• Developed MapReduce/Spark modules for machine learning & predictive analytics in Hadoop.
• Similarly extracted the useful d Confidential from CSV files and performed analytics on them.
• Merged and matched different d Confidential sets from different d Confidential sources.
• Worked extensively with python in optimization of the code for better performance.
• Performed the analytics on final d Confidential set and gave inputs to coreAI in improvising the IVR performance.
• Understand customer business use cases and be able to translate them to analytical d Confidential applications and models with a vision on how to implement.
• Evaluate the performance of various Topic modeling algorithms using Text analytics/Mining.
• Communicate with team members, leadership, and Director on findings to ensure models are well understood and incorporated into business processes.

Environment: Spyder, Jupiter, Python, Terad Confidential SQL Assistent, LDA, Terad Confidential ODBC, NLP, Text Analytics/mining, Clustring, Hadoop, SAP, Terad Confidential, Virtual Machine.