Data Analyst

BHARATH KUMAR KARRE

Email: ********@*****.*** Phone: 313-***-****

https://www.linkedin.com/in/bharathkarre/

****, ********** **, ********, ** 48120

PROFILE:

Innovative & Enthusiastic Analytics Professional with expertise in Data Analysis and Engineering techniques. Proficient in Python, SQL Programming, BI Engineering, ETL, Apache Spark. Excellent understanding of advanced Data Processing, Data Visualization using power BI dashboards, Data Modelling, Data Pipeline designing, Data Integration, ETL Migrations. TECHNICAL SKILLS:

Programming Skills: SQL, Python, Visual Basic, R, Java (Elementary) Database: Oracle SQL, MySQL, Cassandra, Snowflake

Tools & Packages: Power BI, Alteryx, Tableau, Qlik Sense, AWS, Data Bricks, SAS Big Data: Apache Spark, Hive, Kafka, Hadoop, Map-reduce Data Science: Data Cleaning and Visualization, Exploratory Data Analysis, Time Series Analysis Machine Learning: Classification & Clustering, Regression, Collaborative Filtering, Frequent Pattern Matching EDUCATION:

Master of Science in Data Science University of Michigan – Dearborn December 2020 Bachelor of Technology in Computer Science Engineering JNT University, Hyderabad, India May 2017 PROFESSIONAL EXPERIENCE:

Data Analyst NTT Data Services Plano TX 01/2021 – Present

• Perform in-depth analysis of research information for the purpose of identifying opportunities, developing proposals and recommendations for use by management.

• Explored several modelling methodologies in pursuit of predicting key outcomes and exposed that significant behavioral patterns can be predicted accurately at the customer level.

• Work closely with Data Scientists to assist on Feature Engineering, Model training and model deployment.

• Performed data operations using Pyspark, Spark SQL on the external tables maintained on AWS S3 buckets to incorporate scalable Data storage infrastructure in the embodied training. Data Science Intern DTE Energy Detroit MI 01/2020 – 12/2020

• Developed high performance power-BI dashboards on the power outage data to project storm performance metrics, industrial trends & admired by senior management for presenting descriptive data analysis to non-analytic audience.

• Generated the power restoration estimates for the customers during storm situations by investigating the power outage data and assisting crew movements which improved the overall storm performance of the team by 9%.

• Automated data pipeline and ETL workflows using Alteryx to reduce work effort by 40%.

• Performed EDA, Root cause analysis, Impact Analysis on large volume of power outage datasets to support data scientists in developing complex Deep learning models for providing service restoring estimates to customers.

• Designed a crew scheduling application to prioritize outages during the storm situations using Visual Basic which improved the overall visual working experience to the team-mates, also involved in SWI process documentation.

• Underpinned Data Scientists in building data pipelines, deploying large scale models in AWS Cloud Environment.

• Worked with the Data lake development team in providing insights to optimize the performance challenges. Data Analyst TechAADYS IT Solutions Pvt Ltd. India 01/2017 – 12/2018

• Explored and Interpreted the performance metrics of the on-field crew performance and cost analysis of the surveys using Oracle-SQL and reduced the field expenses by over 14%.

• Tracked KPIs like product costs, deliverables. Compared regional performances, analyzed product level and forecasts.

• Investigated data discrepancies and resolved them to intensify the team’s ability to perform effective data analysis.

• Partnered with cross functional teams, scrutinized the expense metrics, independently handled client communication, identified cost optimization opportunities where I was proven to be curious to mine hidden data insights.

• Evaluate research scripts to spot flaws and optimized the online surveys that enriched the customer experience. PROJECTS HANDLED:

Market Basket Analysis of Instacart

• Explored customer behavior trends, frequent patterns among products and categories using Pyspark & Spark SQL. Implemented multiple Machine learning algorithms and gained insights on frequent patterns of purchases using MLlib.

• Recommended the bundles of products and item sets to customers based on their purchase history and comparing them with similar users by implementing Apriori Algorithm, Collaborative Filtering.

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