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Data Analyst Python

Location:
Bloomington, IL
Salary:
120000
Posted:
January 11, 2021

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Resume:

Nikhil Sinha (Security Clearance)

Phone: +1-314-***-**** Email: adjchq@r.postjobfree.com

LinkedIn Profile: https://www.linkedin.com/in/Nikhil-N-Sinha

Areas of Excellence

Data Science, Data-Driven Analysis, Machine Learning, Deep Learning, Business Intelligence, Business Analytics, TensorFlow, AWS (Sagemaker, IAM, S3, GLUE, Athena, Lambda, EC2, Terraform, Containers)

Technical Skills

A/B testing, Data Mining, Decision Tree, Clustering, Statistical Analysis, Predictive Analytics, Data Visualization, Classification/Regression Models, Association Rules, PCA, Hypothesis Test, Time Series, Ensemble Learning,

R, SAS, Python, Java, SQL, PL-SQL, Advance Excel, Microsoft SSIS, SSAS, Tableau, SAP BI, SAP Net weaver, SAP HANA, SIEBEL, ETL, Google Analytics

Professional Experience

Data Analyst – State Farm Illinois, USA July 2019 – Present

Extracted, interpreted and analyzed data to identify key metrics and transform raw data into meaningful, actionable information using Python

Designed, built and maintained predictive models for opportunity quoted success and application submitted

Designed, built and maintained predictive multiclass model for Loss Reporting in Insurance Claims

Performed Statistical Experimentation and Hypothesis test using Chi Square and Anova for determining the strength of relationship and test for Association between the features and target feature.

Capture Business problems from stake holders and Identify data sources to map to the problems

Worked with Big Data Engineers to write python scripts for the Deployment of the model.

Build predictive model prototype in Einstein Discovery to make the model deployable in Salesforce

Build Unsupervised Model in order to segment the customers using various statistical techniques like DBSCAN, OPTICS, GMM, BIRCH, Affinity Propagation, Agglomerative, Spectral Clustering.

Data Analyst – Infinite Computer Solution Maryland, USA (Feb 2019 – Jun 2019)

Collected the data of the veterans and doctors from regional office of Veteran Affairs across 11 states of western Region of USA in order to analyze and perform deep root analysis that helped in clearing the logs from our Carenet system by 23%.

Performed requirement analysis and developed source-to-target mapping, data modeling, data profiling, and data lineage activities by executing code in Python & SQL

Data Scientist - Aakarsoft Technologies India (Nov 2014 – May 2017)

Collaborated to implement A/B testing using Google Analytics for an e-commerce website and created effective call-to-actions to improve CTR and Conversion Rate by 3%

Developed segmentation models using K-means Clustering to discover new segments of users

Applied various machine learning techniques to build dynamic pricing models and maximize profits

Deployed multiple loss minimization and optimization technique with the help of statistical techniques and hypothesis testing and dealt with uncertainty in price fluctuations.

Software Engineer (Data Scientist) – Capgemini India (June 2013 – Nov 2014)

Performed Data Exploration, Data Preparation, Data Cleaning and Data Visualization of the raw Customer data for Farmers Insurance and built classification model in R/Python/SAS to predict the probability of a customer buying auto insurance policy and improved the accuracy of the model by 13%

Used Data Mining and Clustering technique, to assign claims to most appropriate adjuster based on experience and loss type thus improving the overall customer experience in terms of claim duration

Education

The University of Texas at Dallas Aug 2017 – Dec 2018

M.S., Information Technology and Management, Deans Scholarship Award GPA: 3.55/4.0

West Bengal University of Technology, India Jun 2009 -May 2013

Bachelors of Technology, Computer Science Engineering GPA : 7.02/10



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