Northstar Group

• Architected and implemented multiple ML algorithms using Python, sklearn, R, SQL, NoSQL, flask, Keras - Deep Learning, TensorFlow.
• Experience in wrangling large datasets using MapReduce, Spark(PySpark), and Hive.
• Incorporated intelligence from over 1500 features from 6 different data sources involving structured/unstructured data sets and built the data transformations to feed the ML models.
• Conceptualized, architected and implemented a predictive deep learning model to accurately predict by 87% a customer defaulting on their payment resulting in reduction of the number of accounts put in collections.
• Extensively worked in modeling solutions using techniques like logistic regression, SVM, KNN, decision trees, neural networks and mastered predictive modeling, data processing, and dashboard development (Tableau, D3.js).

S2Tech

• Quickly promoted from System analyst to Business Intelligence Analyst due to demonstrated ability in Exploratory Data analytics, Quantitative Analysis, mining and statistical insights.
• Involved in design, development and deployment of multiple big data machine learning initiatives and advanced ML models based on decision trees, random forest, logistic regression, and other categorical data.
• Perform hypotheses testing on relevance and value of the Datasets, parameter selection and calibration of inputs while building solution models to business problems.
• Built APIs to return/retrieve data in JSON, XML formats from multiple data sources. Developed pipelines to analyze large datasets combining custom Python/Shell scripts with established modeling tools.
• Spearheaded an Information Extraction project and developed web scrapers to collect raw data from the web and build executive dashboards and scorecards to show the trends in the data using Tableau, PowerBI and Excel.

iGate Technologies

• Developed forecasting models to predict, ordinal logistic regression models to compare characteristics and attributes.
• Developed custom methods for controls on model effectiveness.
• Involved in explaining and laying out model decisions for senior management and business teams.
• Built automated pipelines to reduce repetitive transformational and extract processes for datasets, in turn, monitoring the effectiveness and performance and determine root causes for significant changes, if any.
• Developed ETLs for data sources used in production reporting for marketing and operations teams
• Data blending implemented on databases and generated interactive dashboards.

Alberg Software

• Serve as the POC between Business teams and Technical Teams.
• Doing analytical research and mapping business requirements to technical specifications.
• Architected and implemented analytics and visualization components for the analysis platform using company-wide KPIs and provided a dashboard for senior management and other key stakeholders.

Satyam Computer Services

• Responsible for implementing data mining and engineering solutions to business problems in banking, insurance, retail, and sales.
• Applied data mining, data preparation, and outlier detection techniques to gain insights into unstructured datasets and map them to actionable items.
• Ensure relevant data, tools, and infrastructure needed are available for test and development purposes by performing ETL processes and setting up automated data stream pipeline.
• Extensively used Python, SQL and other preprocessing scripts and methods for data munging and cleanup.

University of Texas at Austin

Data Analytics and Visualization Certification

Acharya Nagarjuna University

Bachelor of Technology in Mechanical Engineering