Candidates About

Venkatesh Kalla

Summary

·         Six years of Overall IT Experience as Data Scientist/Machine Learning and highly complex data sets, performing ad-hoc analysis and data manipulation using R Programming, R, Python, Scala, SQL, Scikit Learn.

·         Extensive exposure on analytics project life cycle CRISP-DM (Cross Industry Standard Process for Data Mining) and web applications using SCRUM methodologies.

·         Functioned in Data Collection, Data Engineering, and Data Cleansing and Solution Design stages in multiple projects.

·         Demonstrated end to end web application development and incorporated visual analytics dashboards.

·         Propelled project team in budgeting plan adhering to SOW & worked on project plan using MPP.

·         Delivered and maintained data dictionary to create metadata reports for technical and business purpose.

·         Enhanced processes, procedures, and controls with R Visualization, QlikView and Tableau to use in-data analytics and graphic visualization.

·         Developed MapReduce jobs, SQL on Hadoop using Hive and ETL using PIG scripts, and Flume for transferring unstructured data to HDFS.

·         Experience in implementing data analysis with various analytic tools, such as Anaconda 4.0 / 2.X

·         Extensively worked on using major statistical analysis tools such as R, Python, SQL, SAS, and

• MATLAB.

·         Experience in Machine Learning algorithms such as Linear Regression, Logistic Regression, Naive Bayes, Decision Trees, K-Means Clustering, GLM, CART, SVM, KNN, LDA/QDA, Random Forest, Hierarchical clustering, Feature Selection, Collaborative Filtering and Association Rules.

·         Experience with analysing online user behaviour, Conversion Data (A/B Testing) and customer journeys, funnel analysis.

·         Proficient knowledge in all phases of the SDLC (Software Development Life Cycle) from analysis, design, development, testing, implementation and maintenance with timely delivery against deadlines.

·         Strong interpersonal skills to successfully build long-term relationships with colleagues and business partners.

·         A results-driven individual with a passion for data/analytics who can work collaboratively with others to solve business problems that drive business growth.

Experience

2016-05 – Present      Data Scientist - BarclayCardUS, DE

• Categorized comments into positive and negative clusters from different social networking sites using Sentiment Analysis and Text Analytics.
• Performed Data Profiling to learn about behavior with various features such as traffic pattern, location, Date and Time etc.
• Application of various machine learning algorithms and statistical modeling like decision trees, text analytics, natural language processing (NLP), supervised and unsupervised, regression models, social network analysis, neural networks, deep learning, SVM, clustering to identify Volume using scikit-learn package in python, Matlab.
• Developed personalized products recommendation with Machine Learning algorithms, including Collaborative filtering and Gradient Boosting Tree, to better meet the needs of existing customers and acquire new customers.
• Used Python 3.X (numpy, scipy, pandas, scikit-learn, seaborn, NLTK) and Spark 1.6 / 2.0 (PySpark, MLlib) to develop variety of models and algorithms for analytic purposes.
• Created various types of data visualizations using R, Python and Tableau.
• Developed and executed SAS SQL queries for merging, concatenating and updating large volumes of data.
• Written many independent Pig scripts and Python UDF’s for extracting analytical information.
• Performed data cleaning and feature selection using MLlib package in PySpark.
• Coordinated the execution of A/B tests to measure the effectiveness of personalized recommendation system.
• Recommended and evaluated marketing approaches based on quality analytics of customer consuming behavior.
• Determined customer satisfaction and helped enhance customer experience using NLP.

Environment: R 3.X, Python 3.X, Oracle 12c, MongoDB 3.3, Spark 1.6 / 2.0 (Pyspark, MLlib, Spark SQL), Git 2.X

2015-06 – 2016-04      Data Scientist - Sprint, KS

Responsibilities:

• Developed Data modelling & formulation of statistical equations using advanced statistical forecasting techniques.
• Implemented public segmentation using unsupervised machine learning algorithms by implementing k-means algorithm using Pyspark.
• Documented the process work flow to describe program development,
• Testing, application integration, coding & implementation.
• Scoring predictive models as per regulatory requirements & ensuring
• Deliverables with PSI.
• Adept in writing code in R and T-SQL scripts to manipulate data for data loads and extracts.
• Understood new best-practices for the Deep learning era of how to set up train/dev/test sets and analyze bias/variance.
• Developed propensity models for Retail liability products to drive proactive Campaigns.
• Coordinated the execution of A/B tests to measure the effectiveness of
• Personalized recommendation system.
• Designed dashboards with Tableau 9.2 and MeteorJS provided complex reports, including summaries, charts, and graphs to interpret findings to team and stakeholders.
• Evaluated and optimized performance of models, tuned parameters with
• K-Fold Cross Validation.
• Worked on data cleaning, data preparation and feature engineering with Python 3.X including Numpy, Scipy, Pandas, Matplotlib, Seaborn and Scikit-learn.

Environment: Python, MDM, MLLib, PL/SQL, Tableau, Teradata 14.1, JSON, HADOOP (HDFS), MapReduce, SQL Server, MLLib, Scala NLP, SSMS, ERP, CRM, Netezza, Cassandra, SQL, PL/SQL, SSRS, Informatica, PIG, Spark, Azure, R Studio, MongoDB, JAVA, HIVE

2014-09 – 2015-05   Java Hadoop Dev / Data Scientist- Carle Foundation – Illinois.                                                                   

Responsibilities:

• Involved in Design, Development and Support phases of Software Development Life Cycle (SDLC) 
• Performed data ETL by collecting, exporting, merging and massaging data from multiple sources and platforms including SSIS (SQL Server Integration Services) in SQL Server. 
• Worked with cross-functional teams (including data engineer team) to extract data and rapidly execute from MongoDB through MongDB connector for Hadoop. 
• Performed data cleaning and feature selection using MLlib package in PySpark. 
• Performed partitional clustering into 100 by k-means clustering using Scikit-learn package in Python where similar hotels for a search are grouped together. 
• Used Python to perform ANOVA test to analyze the differences among hotel clusters. 
• Implemented application of various machine learning algorithms and statistical modeling like Decision Tree, Text Analytics, Sentiment Analysis, Naive Bayes, Logistic Regression and Linear Regression using Python to determine the accuracy rate of each model. 
• Determined the most accurately prediction model based on the accuracy rate. 
• Used text-mining process of reviews to determine customers' concentrations. 
• Delivered analysis support to hotel recommendation and providing an online A/B test. 
• Designed Tableau Bar Graphs, Scatter Plots, and Geographical maps to create detailed level summary reports and dashboards. 
• Developed hybrid model to improve the accuracy rate. 
• Delivered the results to operation team for better decisions and feedbacks. 

Environment: Python, SAS, Tableau, MongoDB, Hadoop, SQL Server, SDLC, ETL, SSIS, Recommendation Systems, Machine Learning Algorithms, Text-mining Process, A/B test

2011-05 – 2013-07      Programmer Analyst - Askio Infotech, India

• Implemented Business rules and transformations by developing SQL queries, stored procedures, Views and Triggers based on client requirements.
• Created Web Pages using XML, XSLT, JSP, HTML and JavaScript.
• Optimized the code and database for maximum performance.
• Responsible for deploying Web Logic application server.
• Design and maintain the database to support the application using Oracle DB.
• Prepared the complete data mapping for all the migrated jobs.
• Involved in Query optimization, performance tuning and index creation.
• Used Singleton, factory design pattern, DAO Design Patterns based on the application requirements
• Used Log4J logging framework to write Log messages with various levels.

Environment: Java, HTML, JavaScript, XML, Servlets, JSP, EJB, MVC, SQL Server, SQL Assistant, WIN2000/XP, XSLT, JUnit, MS Access, UML.

Skills & Technologies

Academic Projects

•   Analyzed GSM mobile users to understand brand loyalty, behavioral and usage patterns to improve the effectiveness of promotional campaigns approximately by 150%.

•   Enhanced policy renewal rate that surpassed by an average of 20% by building a churn prediction model using logistic regression in SAS Enterprise Miner.

•   Analyzed the purchasing behavior of customers using a customized analytics model in base SAS to predict who preferred Barnes & Noble over Amazon.

•   Built a cost optimized model to predict Expedia bookings with an accuracy of 0.86 and an average loss of $0.29/$1 using ensemble methods.

•  Learned strategies to solve many data mining challenges through Kaggle projects from https://www.kaggle.com/datasets and https://aws.amazon.com/public-datasets/

•  Built various visualizations on Tableau Public: https://public.tableau.com/profile/venkateshkalla#!/

Education

•   Data Analyst Nanodegree from Udacity.

•   Masters in Computer Science from Fairleigh Dickinson University, New Jersey, U.S.A

• Bachelor of Technology in Electronics and communications engineering from Jawaharlal Nehru Technological University Kakinada, INDIA.

Certifications

•   Oracle Certified Professional, Java SE 6 Programmer.

•   AWS Certified Solutions Architect – Associate level.

•   AWS Certified Developer – Associate level

•   American Software Testing Qualifications Board Certified Tester – CTFL

•   MongoDB Certified Associate Developer – In Progress.