SUMMARY

• 7+ years of professional experience in Statistical modeling, Machine Learning, Conversational AI, Data Visualization
• Expertise in transforming business resources and requirements into manageable data formats and analytical models, Designing algorithms, building models, developing data mining and reporting solutions and scale.
• Proficient in managing entire data science project life cycle including Data Acquisition,Data
• Preparation,Data Manipulation, Feature Engineering, Statistical Modeling, Testing and Validation, Visualization and Reporting.
• Proficient in Machine learning algorithm like Linear Regression, Ridge, Lasso, Elastic Net Regression, Decision Tree,
• Random Forests and more advanced algorithms like ANN, CNN, RNN, Ensemble methods like Bagging, Boosting, Stacking.
• Build chatbots using RASA for more than 4 years, has worked with chatbot in several projects, have a good experience in feature extraction analysis methods.
• Excellent performance in Model Validation and Model Tuning with Model selection, K - ford cross-validation, Hold-Out
• Scheme and Hyperparameter tuning by Grid search and HyperOpt.
• Advanced experience with Python (2.x, 3.x) and its libraries such as NumPy, Pandas, Scikit-learn, XGBoost, LightGBM,
• Keras, Matplotlib, Seaborn.
• Strong Knowledge in Statistical methodologies such as Hypothesis Testing, ANOVA, Principal Component Analysis
• (PCA), Monte Carlo Sampling and Time Series Analysis.
• Strong experience with R to develop Machine learning models and Hypothesis testing.
• Basic knowledge with Hadoop, Spark and experience with BigDatatools such as PySpark, Pig and Hive.
• Experience in building machine learning solutions using PySpark for large sets ofdataon Hadoop System.
• Experience in using cloud services Amazon Web Services (AWS) including EC2, S3, AWS Lambda, and EMR.
• Proficient at building and publishing interactive reports and dashboard with design customizations based on the Stakeholders' needs in Tableau.
• Experienced in RDMS such as SQL Server 2012, Oracle 9i/10g and NoSQL database like MongoDB, DynamoDB.
• Expert in SQL with writing Queries, Temp tables, CTE, Stored Procedures, User-Defined Functions, Views, and Indexes.
• Responsible for creating ETL packages, migratingdatafrom, Flat File and MS Excel, cleaningdataand backing updatafiles, and synchronizing daily transactions by using SSIS.
• Quick learner in any new business industries or software environment to deliver the best solutions adapted to new requirements and challenges.
• Knowledge and experience in GitHub/Git version control tools.

TECHNICAL SKILLS

Deep learning Frameworks and libraries: Tensor flow, Keras, TF Learn, NumPy, Conversational AI matplotlib, Seaborn, Pandas, Scikit learn, NLTK, Kubeflow, Vertex AI, tensor flow.

ML and DL algorithms: Linear, Logistic regression, Support Vector Machines, K-Means, Decision Trees, Random forests, Single and Multi-layer perceptron’s, CNN, chatbot, ensemble models, YOLO, object detection, feature extraction, SSD, RASA etc.:

Programming Languages and tools: Python, C++, MATLAB, MySQL, Visual basic, XCode, Jupyter, Spyder, OpenCV, Tableau, Google cloud platform. .

Operating Systems: Microsoft Windows, Mac, Linux.

PROFESSIONAL EXPERIENCE

Confidential - Newark, NJ

Data Scientist

Responsibilities:

• Worked asDataScientistand developed and deployed predictive models for analyzing customer churn and retention
• PerformedDataExtraction,DataManipulation andDataAnalysis on TBs of structured and unstructureddata
• Developed machine learning models using Logistic Regression, Naïve Bayes, Random Forest and KNN.
• PerformedDataImputation using Scikit-learn package of Python
• Created interactive analytic dashboards using Tableau
• Conducted analysis on assessing customer consuming behaviors and discover value of customers with RMF analysis; applied customer segmentation with clustering algorithms such as K-Means Clustering and Hierarchical Clustering
• Collaborated withdataengineers and operation team to implement ETL process, wrote and optimized SQL queries to performdataextraction to fit the analytical requirements
• Performed sentiment analysis and captured customer sentiments and categorized positive, negative, angry and happy customers from feedback forms
• Ensured that the model has low False Positive Rate and Text classification and sentiment analysis for unstructured and semi-structureddata
• Launching Amazon EC2 Cloud Instances using Amazon Images (Linux/ Ubuntu) and Configuring launched instances with respect to specific applications.
• Integrated SAS datasets into Excel using DynamicDataExchange, using SAS to analyzedata, statistical tables, listings and graphs for reports.
• Use Principal Component Analysis in feature engineering to analyse high dimensionaldata
• Use MLlib, Spark's Machine learning library to build and evaluate different models
• PerformedDatamanagement like Merging, concatenating, interleaving of SAS datasets using MERGE, UNION and SET statements inDATAstep and PROC SQL.
• Experience in using SAS to read, write, import and export to anotherdatafile formats including delimited files, spreadsheet, Microsoft excel and access tables.
• Communicate with team members, leadership, and stakeholders on findings to ensure models are well understood and incorporated into business processes

Environment: Python, R, MS Excel, Perl, MS SQL Server, HIPAA, EDI, Power BI, Tableau, T-SQL, ETL, MS Access, XML, JSON, MS office 2010, Outlook.

Confidential - Austin, TX

Data Analyst

Responsibilities:

• Statistical Modelling with ML to bring Insights inDataunder guidance of PrincipalData Scientist
• Ingestion with Sqoop, Flume.
• Used SVN to commit the Changes into the main EMM application trunk.
• Understanding and implementation of text mining concepts, graph processing and semi structured and unstructureddataprocessing.
• Worked with Ajax API calls to communicate with Hadoop through Impala Connection and SQL to render the requireddatathrough it. These API calls are like Microsoft Cognitive API calls.
• Performed Map Reduce Programs on nodes running on the cluster.
• Developed multiple MapReduce jobs in Scala fordatacleaning and pre-processing.
• Analysed the partitioned and bucketeddataand compute various metrics for reporting.
• Involved in loadingdatafrom RDBMS and web logs into HDFS using Sqoop and Flume.
• Worked on loading thedatafrom MySQL to HBase where necessary using Sqoop.
• Developed Hive queries for Analysis across different banners.
• Extracteddatafrom Twitter using Java and Twitter API. Parsed JSON formatted twitterdata and uploaded to database.
• Exported the result set from Hive to MySQL using Sqoop after processing thedata.
• Analysed thedataby performing Hive queries and running Pig scripts to study customer behaviour.
• Have hands on experience working on Sequence files, AVRO, HAR file formats and compression.
• Used Hive to partition and bucketdata.
• Experience in writing MapReduce programs with Java API to cleanse Structured and unstructureddata.
• Wrote Pig Scripts to perform ETL procedures on thedatain HDFS.
• Created HBase tables to store variousdataformats ofdatacoming from different portfolios
• Worked on improving performance of existing Pig and Hive Queries.

Confidential

SQL Developer

Responsibilities:

• Created and modifiedSQLStored Procedures, Triggers, User Defined Functions, Views, and Cursors.
• Performance tuning of stored procedures utilizing Database tuning advisor andSQLProfiler.
• Adhoc reporting per client's requests.
• Build and modify SSIS packages utilizing BIDS 2012.
• Built complex queries utilizing recursive CTE's.
• Documents both business and application processes utilizing Microsoft Visio.
• Build SSIS configuration files to adhere to deployment processes.
• Utilize SSIS script task extensively to load data from excel files to database tables.
• Utilize SVN as the main source control repository.
• Modified Web interface to adhere to business logic pertaining to the leasing of company assets.