Venkata Vadde

Data Scientist

Email id: ac9yhu@r.postjobfree.com

Cellphone : +1-503-***-****

Work Authorization: E3 Visa

PROFESSIONAL SUMMARY:

10+ years of experience.

Experience in Machine Learning, Deep Learning, Data Mining with large datasets of structured and unstructured data, Data Validation, Data acquisition, Data Visualization, Predictive Modelling and developed predictive models.

Experience with statistical programming languages such as Python.

Experience in Text Analytics, developing different Statistical Machine Learning, Data Mining solutions to various business problems and generating Data Visualizations using python.

Experience in using Statistical procedures and Machine Learning algorithms such as Clustering, Regression and Time Series Analysis to analyse data for further Model Building.

Hands on experience in implementing Machine Learning algorithms like K-Nearest Neighbours, Logistic Regression, Linear regression, Naïve Bayes, Support Vector Machines, Decision Trees, Random Forests, Gradient Boosted Decision Trees, Stacking Models.

Proficient in advising on the use of data for compiling personnel and statistical reports and preparing personnel action documents, patterns within data, analysing data and interpreting results.

Actively involved in all phases of data science project life cycle including Data Extraction, Data Cleaning, Data Visualization and building Models.

Extensive hands-on experience and high proficiency in writing complex SQL queries like stored procedures, triggers, joins and subqueries along with that used MongoDB for extraction data.

Experienced in python data manipulation for loading and extraction as well as with python libraries such as NumPy, SciPy and Pandas and Spark 2.0 (PySpark, MLlib) to develop variety of models and algorithms for analytic purposes.

Extensive experience working in a Test-Driven Development and Agile-Scrum Development.

Experience in Amazon Web Services (AWS) Cloud services like EC2, S3.

Experience in designing visualizations using Tableau for publishing, presenting dashboards and storyline on web and desktop platforms.

Experience working in Agile environments including the scrum process and used Project Management tools like Jira and version control tools such as GitHub/Git.

Excellent initiative, innovative thinking skills, and the ability to analyze details and adopt a big picture view and Excellent organizational, project management and problem-solving skills.

Technical Skills:

Big Data Technologies: Spark, MapReduce, Amazon Web Services AWS, H2o

Supervised: Linear Regression, Logistic Regression, Decision Trees, Random Forest, KNN, Support Vector Machine

Unsupervised: K-means, PCA, t-SNE, Hierarchical clustering

Semi-supervised: Reinforcement learning, Deep Learning, NLP.

Development Tools: Jupiter, RStudio, SQL Server 2016

Programming: PYTHON,C#

Scripting Languages: Shell, Perl

NoSQL Databases/Reporting: MongoDB, Tableau

Databases/ETL: SQL Server, MySQL, PostgresSQL

IDE: Pycharm, Eclipse, NetBeans, Jypyter notebook, Spyder

Versioning Software: Github, Visual SourceSafe, CVS, SVN

Productivity Software: Microsoft Excel, Word, PowerPoint

Operating Systems: Linux, Windows, macOS

Data Scientist April’19- till date

Elix Inc

Client: Capital One (Contract), Plano Tx

Responsibilities:

Worked independently and collaboratively throughout the complete analytics project lifecycle including data extraction/preparation, design and implementation of scalable machine learning analysis and solutions, and documentation of results.

Extensively involved in all phases of data acquisition, data collection from AWSS3, data cleaning using Pandas and Numpy.

Built machine learning models to identify whether Batch Automation jobs will pass or fail and predict the outcome to prevent failure using the historical data .

Partner with resources across the business to leverage their support and integrate our efforts.

Worked on Amazon Web Services (AWS) cloud services to do machine learning on big data.

Application of a predictive machine learning algorithm like GBM.

Applied various Timeseries models like simple average, moving average, single exponential smoothing.

Applied variations of auto regressive moving average models such as ARMA, ARIMA, SARIMAX, ARIMAX,VARMAX to predict the job failures in the regular and seasonal intervals and identified the root cause.

Implementing predictive analytics and machine learning algorithms especially supervised (SVM, Logistic Regression, Boosting) methods.

Implemented k-fold cross-validation to test the model with different batches of data to find the best parameters for the model and optimized to boosted the performance.

Python scripts for automation of repetitive tasks like comparing the actual outcomes to the predictions generated by the ML model.

Generated data visualizations using tools such as Python Matplotlib, Python Seaborn.

Exposure to AI and Deep learning platforms such as TensorFlow, Keras, AWS ML.

Data Scientist Aug’18- Mar’19

Elix Inc

Client: Comerica Bank (Contract), San Jose CA

Responsibilities:

Coordinating with business users, analysts working in upstream and downstream application and plan design and development tasks in application.

Assess information from a range of data stored in disparate systems, integrating data, and mining data to answer specific business questions as well as identifying unknown trends and relationships in data.

Involved in developing and data ingestion into cluster in AWS environment (EC2 instances) using SparkSQL.

Extracting data for creating Value Added Datasets using Python, R, and SQL to analyse the behaviour to target a specific set of customers to obtain hidden insights within the data to effectively implement the project Objectives.

Constructing and evaluating various types of datasets by performing machine learning models using algorithms and statistical modelling techniques such as clustering, classification, regression, decision trees, support vector machines, anomaly detection, sequential pattern.

Implementing predictive analytics and machine learning algorithms especially supervised (SVM, Logistic Regression, Boosting), unsupervised (K-Means, LDA, EM) and Reinforcement learning (Random Forests) methods.

Utilize analytical applications/libraries like Plotly, D3JS and Tableau to identify trends and relationships between different pieces of data, draw appropriate conclusions and translate analytical findings into marketing strategies that drive value.

Involve in daily Scrum meetings and reporting development of project activity.

Worked closely with business Intelligence team for generating reports using Tableau.

Data Scientist Jun’16- May’18

SCCS Systems– Melbourne Australia

Responsibilities:

Cleansed the data by eliminating duplicate and inaccurate data in R and Python.

Identification of missing values, pattern recognition techniques were used to find the pattern for missing values and handled them with K-NN imputation.

Application of various machine learning algorithms and statistical modelling 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.

Performed data cleaning and feature selection using MLlib package in PySpark and working with deep learning frameworks such as Caffe, Neon etc.

Evaluated models using Cross Validation, Log loss function, ROC curves and used AUC for feature selection and elastic technologies like Elastic Search, Kibana etc.

Implemented Machine learning algorithms like Random forest and logistic regression models were built on correlated data sets and emphasized on advanced algorithms like neural networks, SVM.

Jr.Data Scientist /Analyst Feb’15-May‘16

Telstra,Melbourne Australia

Responsibilities:

Enhanced data collection procedures to include information that is relevant for building analytic systems

Processing, cleansing, and verifying the integrity of data used for analysis.

Doing ad-hoc analysis and presenting results in a clear manner.

Creating automated anomaly detection systems and constant tracking of its performance.

Hands on experience with commercial data mining tools such as R and Python depending on job requirements.

Utilized NLP applications like topic models and sentiment analysis to identify trends and patterns within massive data sets.

Built predictive models to forecast risks for product launches and operations and help predict workflow under the team supervision.

Draw inferences and conclusions, and create dashboards and visualizations of processed data, identify trends, anomalies.

Visualization and presentation using Tableau.

Participated in client meetings to keep track of project requirements.

Sr.Software Engineer/Unity 3D Jun’13-Oct‘14

Focus Design 3D,Melbourne Australia

Responsibilities:

Quick prototyping of a game based on the concept and creating playable game using white box techniques.

Created C# scripts for gameplay mechanics.

Generating a playable prototype with visuals, interactions and player feedback.

Researching and developing pipeline solutions and techniques

Optimizing 3D models for real-time performance and high fidelity visuals

Responsible for researching and developing pipeline solutions and techniques.

Maintaining the Unity 3d master files

Designing pipeline to efficiently stream, transform and render 3D data from a back end service

Manage optimization in Unity 3D for deploying the games on various platforms like Android, Apple IOS, Windows.

Software Engineer (Contract/Freelance) Oct'09- May'13

Tantulas Media, Melbourne, Australia.

Positions worked :

Unity software engineer

Technical artist

Level designer

Software Engineer Aug'06-Jul'09

FX Labs Pty Ltd, Hyderabad India

Responsibilities :

Writing technical design specifications.

Profiling and optimizing software components

Created and maintained game engine components.

Developed functionalities of the game engine: graphics, networking, optimization, physics, API's.

Developed sustainable and maintainable technologies and systems.

Education:

Bachelor of computer science, Nagpur University, India

Grad-Dip in Video Game Development, AIE, Australia.

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