Sandeep Chavan Email & Phone Number

Greater Atlanta Area

• Lead the full machine learning system implementation process: collecting data, model design, feature selection, system implementation, and evaluation.• Utilized Spark, Scala, Hadoop, HBase, Spark Streaming, MLLib and R a broad variety of machine learning methods including classifications, regressions, dimensionally reduction etc.• Creating various B2B Predictive and descriptive analytics using R and Tableau.• Installing NVIDIA Drivers along with CUDA 9• Used text mining and NLP techniques find the sentiment about the organization.• Developed unsupervised machine learning models in the Hadoop/Hive environment on AWS EC2 instance.• Worked with datasets of varying degrees of size and complexity including both structured and unstructured data.• Responsible for Installing Tensorflow for GPU• Participated in all phases of data mining, data cleaning, data collection, developing models, validation, visualization and performed gap analysis.• Data wrangling to clean, transform and reshape the data utilizing Numpy and Pandas library.• Data Storyteller, Mining Data from different Data Source such as SQL Server, Oracle, Cube Database, Web Analytics, Business Object and Hadoop. Provided AD hoc analysis and reports to executive level management team.• Contributed to data mining architectures, modeling standards, reporting, and data analysis methodologies.• Worked with different sources such as Oracle, Teradata, SQLServer and Excel, Flat,• Complex Flat File, Cassandra, MongoDB and HBase files.• Conduct research and made recommendations on data mining products, services, protocols, and standards in support of procurement and development efforts.• Used Python, R and SQL to create Statistical algorithms involving Linear Regression, Logistic Regression, Random forest, Decision trees for estimating the risks.• Developed statistical models to forecast inventory and procurement cycles.

Greater Atlanta Area

• Conducted analysis of customer data for the purposes of designing rates.• Identified root causes of problems and facilitated the implementation of cost-effective solutions with all levels of management.• Developed Regression Models based on data provided by the client.• Application of various machine learning algorithms and statistical modeling like decision trees, regression models, clustering, SVM to identify Volume using scikit-learn package in Python.• Worked on different data formats such as JSON, XML and performed ML algorithms in Python.• Hands on experience in implementing Naive Bayes and skilled in Random Forests, Decision Trees, Linear and Logistic Regression, SVM, Clustering, Principle Component Analysis.• Performed K-means clustering, Regression and Decision Trees• Developed NLP models for Topic extraction, Sentiment Analysis.• Worked on Text Analytics, Naïve Bayes, Sentiment analysis, creating word clouds, and retrieving data from Twitter and other social networking platforms• Have knowledge on A/B Testing, ANOVA, Multivariate Analysis and Association Rules using R.• Wrangled data, worked on large datasets (acquired data and cleaned the data), analyzed trends by making visualization (Tableau 9.0, Microsoft Power BI) using matplotlib and python.

• Worked on a product (ECDS) to process the customer data and provide recommendations on insurance plans using machine learning algorithms and Python libraries.• Applied clustering algorithm to categorize insurance plans to deliver a business plan.• Built complex SQL queries for root cause analysis of production defects and executed quality control checks to ensure data integrity and enforce business rules.• Optimized data collection procedures and generated reports on weekly, monthly and daily basis with Pivot Tables, Minitab and Tableau.• Worked on comparison of data regarding insurance products, creating dashboards, visualizations, with Tableau, Google charts and Microsoft Excel. Also, created visualizations in Python using various libraries like Matplotlib, Scikit, SciPy, NumPy and Pandas.• Provide assistance with interpretation of raw data, statistical results or compiled information.• Liaise with offshore team and clients for resolving technical dependencies, issues and risks.

Hyderabad Area, India

• Performed detailed analysis of insurance holder’s data and provided business solutions.• Extracted and compiled data to analyze data accuracy issues and work with relevant departments to optimize them.• Worked with architects and senior developers to design and enforce established standards for building reporting solutions.• Interacted with Team and Analysis, Design and Develop database using ER Diagram, involved in Design, Development and testing of the system• Implemented, scheduled, and monitored ETL process to import data from external.• Developed SQL Server Stored Procedures, Tuned SQL Queries (using Indexes) • Implemented Exceptional Handling.• Worked on client requirement and wrote Complex SQL Queries to generate Crystal Reports.• Created different Data sources and Datasets for the reports.• Tuned and Optimized SQL Queries using Execution Plan and Profiler.• Rebuilding Indexes and Tables as part of Performance Tuning Exercise.• Involved in performing database Backup and Recovery.• Documented end user requirements for SSRS Reports and database design

Master'S Degree, Management Information Systems, General

Bachelor Of Technology - Btech, Mechanical Engineering