Data Analyst Software Developer

Sampreeth Chindam

Data Analyst Software Developer

Address Orlando Tampa

Phone 331-***-****

E-mail *********.*****@*****.***

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Experienced IT professional with over three years of expertise in Cloud Technologies and Data Science, holding a master's degree in Data Analytics Engineering. Proficient in programming languages such as Python, Java, and SQL, with a good understanding of functional programming. Hands-on experience with various AWS services, including Amazon EC2, Amazon S3, and IAM roles. Skilled in predictive modeling, statistical analysis, and applying machine learning models. Strong experience in data cleaning, reshaping, building ETL pipelines, and generating segmented subsets using Databricks, Numpy, Pandas, and PySpark. Microsoft Certified Azure Administrator Associate (AZ-100) professional with expertise in DevOps methodologies, Jenkins, Docker, and Splunk.

Technical Skills

Statistical Analysis, Data Visualization, Data Modeling, Data Mining, Ad-hoc Data Analysis, Scalable Automation, Data Integration, Data Validation, Data Warehousing, Interactive Visualizations, ETL pipeline, Machine Learning, Cloud Computing, Data Structures and Algorithms, and Object-Oriented Programming.

Tools and Technologies

Java, Python, R programming, SQL (MySQL, PostgreSQL), C programming, JavaScript, HTML/CSS.

AWS EC2, S3, Lambda, SageMaker, Microsoft Azure

Databricks, Snowflake, PySpark, Numpy, Jupyter Notebook, Hadoop, Hive, Matplotlib, sci-kit-learn, Anaconda, PyCharm, GitHub, Splunk, Docker, Tableau, Power BI, Apache Spark, QuickSight Salesforce Marketing Cloud

Work History

2023 - 02 - Current

Data Analyst

Sea Coast Bank

Built ETL pipelines for marketing and servicing campaigns for US Partnership Cards using databricks, pyspark and Salesforce Marketing Cloud tool

Conducted A/B tests to increase customer engagement by analyzing business requirements, performing data segmentation, integrating customer data into emails, enforcing compliance approvals, and analyzing performance using DataBricks, Snowflake, PySpark, and AWS S3

Identified 1 million inactive accounts, developed a campaign to close them, and reclaimed 2 billion USD in inactive exposure by collaborating with cross-functional teams.

Simplified reporting by creating aggregated data sets and developed Tableau dashboards to visualize key performance metrics, enabling leadership to make informed business decisions.

Ensured data integrity and correctness by validating metrics and end-user reports.

Developed and executed business reports and perform ad-hoc data analysis for performance monitoring

Created Databricks scripts to extract data from Snowflake tables and upload files to one lake S3 buckets using PySpark and Python

Manipulated data and build new features using Python and PySpark

Trained new team members on Fractal(in-house tool), Q/A testing, A/B testing, and Databricks scripts.

2019-06 - 2021-08

Data Scientist

Thrive Digital Health LLP, Hyderabad, India

Collaborated with healthcare analytics team to develop predictive models using regression to analyze total charges incurred by hospitals and length of stay for patients diagnosed with lung cancer and mental illness, using Python, AWS SageMaker, EC2, and S3

Conducted detailed data analysis using SQL and Python to determine data structure, content, and quality.

Utilized SPSS to analyze, load, and convert large ASCII files into CSV format and used the data-wig library to impute missing values for categorical and continuous data

Designed dashboards using ggplot, Python matplotlib, Power BI, and Tableau to analyze important features and model performance and present findings from the analysis.

2018-10 - 2019-05

Software Developer

Cliff.AI, Hyderabad

Containerized Drupal web applications and implemented CI/CD pipelines in Jenkins.

Secured and troubleshoot Azure Web App for Containers

Created SharePoint Site Collections, Site Pages, Lists, and Nintex Forms, and utilized REST APIs to retrieve data from SharePoint lists and display JSON data in Site Pages

Automated data entries using Power Apps

Monitored multiple applications using Microsoft Azure Cloud Services (PaaS, IaaS), Application Insights, and Splunk

Provided initial assessment and possible workarounds for production issues

Collaborated with application developers to guide the development and implementation of Cloud applications, systems, and processes using DevOps methodologies.

Education

2021-01 - 2023-05

Master's: Data Analytics Engineering

Eastern Illinois University – Charleston, IL

GPA: 3.87

2015-06 - 201-05

Bachelor's: Computer Science

Jawaharlal Nehru Technological University - Hyderabad

GPA: 3.54

Projects

Fake News Classification on Twitter (Python, Flume, N-gram analysis, Decision Tree ML) Nov 2022

•Trained a decision tree machine learning model to classify tweets as real or fake based on the extracted feature.

•Collected live stream data of twitter using Flume and used a gram analysis do perform feature extraction.

•Achieved 86% accuracy, 86.6% precision, 91.9% recall, 59% F1 score.

Air BNB Price Predictions (tableau, Python) May 2022

•Implemented EDA for finding influential variables and developed an accurate forecasting tool and ML model with an accuracy of 85% which predicted the price of the properties.

•Deployed Seaborn and Matplotlib packages for data set visualizations, Pandas and NumPy for data cleaning and Pyspark for data exploration.

•Interpreted the results with Milab in Pyspark and Seaborn to visualize the parameters that affect the property price.

Data engineer, data, engineer, PDF, PDF forms, ETL, data sets, SQL, AWS, analytics, extraction, transformation, data pipeline, big data, hadoop, spark, NoSQL, Postgres, redshift, dynamodb, workflow management, python, API, API development

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