- Data Analyst . Highly - skilled data analytical professional bringing more than 4 years of experience.
- Expertise in Big Data Technology (Microsoft Azure, AWS), Data Analysis (Python, Scala), and Data Visualization (Tableau, SAS, R).
- Promotes econometric, detail-oriented, and to fast-paced approaches to solve real-time business problems.
- Achieved 5% team’s business growth or 5 % operation cost reduction for more than 10 business projects for Finance, Manufacturing, Supply Chain, Inventory and Agriculture teams at Confidential .
- Saved $300K operation cost of Global Finance Database Administrator team, saved 267 days’ database team work.
DEVELOPED EXPERTISE IN:
- Business Intelligence(BI)
- Statistics & Predictive Analytics
- Data Mining Data Warehousing
- Machine Learning Sentiment & Text Analysis
- Data Modelling
- Quantitative Analysis
- Computer Vision
- Excellent Written and Verbal Communication Skills
Data Visualization: Tableau Desktop, Tableau Server, SPSS, Minitab, QlikSense, QlikView, D3.js, OBIEE, Weka
Analytics Languages: R, Python, SQL, Scala, SAS, MATLAB, Octave, SAS RapidMiner
IDE: RStudio, Eclipse, Intellij, PyCharm, PySpark, Shiny
AWS Technologies: S3, EC2, SQS, SNS, EMR
Programming Languages: Java, C, PL/SQL, JCL, COBOL
Web Development: Java Script, HTML, CSS
Big Data Technologies: MapReduce, Hive, Spark, HBase, Pig, Yarn, Redshift, Apache Azure, Kafka, Zeppelin, Flume
Databases: Mainframe, Oracle, MangoDB, MySQL, MS Access, Cassandra
Development Life-Cycle: Kanban, Agile, HP Service Center, Lean Management
Python APIs: Pandas, NumPy, scikit-learn, Ml-lib, matplotlib, NLTK, SciPy, TensorFlow, Theano, Caffee
Analytical Model: Support Vector Machines, Apriori, CNN, PageRank, kNN, CART, Naïve Bayes, Random Forest
Algorithm Types: Regression, Classifier, Time Series, Decision Tree, Linear and Non-linear
Operating Systems: Windows XP/Windows 7, MacOSx, Linux
R APIs: ggplot2, Plyr, forecast, reshape2, RandomForest
- Led and Managed more than 10 business problems to solutions leveraging Big Data Analytics, Hadoop, ETL machine learning with positive outcomes.
- Absorbed in building highly scalable data warehouse and data lake structure using AWS, HDFS and Microsoft Azure technology.
- Industrialized analytical models for Supply Chain, Finance, Product selling teams and reengineered those model with higher performance.
- Employed time series algorithm on product selling data to visualize product selling success.
- Dashboards: Presented more than 15 impactful visualization dashboards and story ideas by employing Tableau desktop and server, Excel, pivot tables, SQL queries, Power BI, SAS EBI and Visual Basic macros.
- Leveraged Sentiment analysis to established consumers feedback system by Hadoop and text mining in java.
- Developed and systematized end-to-end statistical analysis models on high-volume data sets consuming Python, R, Hadoop, and MapReduce to resolve issues of stakeholders under tight deadlines.
Associate Data Analyst
- Collaborated with non-technical business customers to gathering requirements and gaining a deep understanding of key data to collect demographics design and lifecycle.
- Steered report generation to influence and support strategic decision for high-priority, enterprise product development exploiting Power BI, Tableau.
- Modelled data structure for Finance, Order management and Supply chain teams using mainframe.
- Composed & delivered reports of the analytic findings in a variety of formats Excel, PDF, Tableau and SAS dashboard
- Collaborated extensively with Data Pre-Processing, Data Cleaning, and Data Gathering from client using ETL tools.