Ashik Kumar Email & Phone Number

Worcester, Ma, Us

United States

Spearheaded data collection by integrating information from CRM systems and customer feedback databases. Utilized SQL for querying MySQL and PostgreSQL databases, creating a comprehensive dataset for analysis. Executed extensive data cleaning with Python and Pandas, addressing missing values, outliers, and inconsistencies. Developed automation scripts to streamline data preprocessing, enhancing data accuracy. Conducted EDA using Matplotlib and Seaborn to identify key trends and patterns in customer behavior. Created visualizations to communicate findings to stakeholders, focusing on churn and engagement insights. Designed and validated predictive models to detect high-risk customers prone to churn. Employed Scikit-learn to build and evaluate classification models, such as logistic regression and decision trees, measuring performance with accuracy, precision, and recall.Leveraged Microsoft Azure Data Lake and Azure Synapse Analytics for scalable data storage and processing. Managed and transformed large datasets in a cloud environment, optimizing query performance and ensuring seamless data integration across platforms.Developed interactive Tableau dashboards to visualize churn trends, model predictions, and customer segments. Collaborated with team members to create user-friendly interfaces, providing actionable insights for decision-making.Conducted A/B testing to assess the impact of different retention strategies. Analyzed test results to evaluate the effectiveness of interventions on customer retention rates and offered data-driven recommendations.Prepared detailed reports and presentations for management, summarizing key findings, model outcomes, and strategic recommendations. Used Power BI and Excel for reporting and visualizations, ensuring clear and precise communication.

Worcester County, Massachusetts, United States

Supported the professor in developing course materials, including lectures, assignments, and exams, and conducted weekly lab sessions to help students understand key concepts in data visualization using Tableau.Offered tutoring, evaluated assignments, and gave detailed feedback to enhance data visualization skills.Organized workshops and supervised projects, guiding students in applying data visualization techniques to real-world datasets.Created Newsletter for IDCE Spring2023, offering advice to incoming students on course choices.Identified student viewpoints by creating several questionnaires and creating reports with visuals.Organized multiple events and field trips as a first person of contact to inform students of the specifics of the event.Assisted the grant proposal of students under the guidance of faculty member.

Worcester, Massachusetts, United States

At Clark University, I served as a Graduate Assistant from June 2022 to May 2023. In this role, I created newsletters for the IDCE Spring 2023 session, offering course advice to incoming students. I designed and distributed questionnaires to capture student viewpoints, creating detailed reports with visuals. I organized multiple events and field trips, acting as the first point of contact to inform students of event specifics. Additionally, I assisted in the preparation of grant proposals for students under the guidance of a faculty member, enhancing their academic and research endeavors.

Hyderabad, Telangana, India

Developed and maintained automated data pipelines using Python and SQL, ensuring seamless integration and data quality across multiple sources, improving business operations efficiency by 20%.Performed data wrangling, cleansing, and transformation using Pandas and NumPy, turning raw data into actionable insights to support data-driven decision-making and strategic business objectives.Created and managed real-time dashboards and reports using Tableau and Excel, delivering key performance metrics to stakeholders and enhancing decision-making processes by 25%.Conducted statistical analysis and machine learning techniques like regression, decision trees, and time series analysis using R and Scikit-Learn, enabling predictive analytics and informed business decisions.Deployed and maintained the dashboard on AWS, utilizing S3 for storage and EC2 for scalable computing resources. Configured S3 buckets for secure and efficient data storage, and managed EC2 instances for optimal performance, ensuring the dashboard's availability and scalability.Improved data accuracy and integrity by conducting thorough data validation and quality assurance processes, resulting in a 30% reduction in data errors.Collaborated with cross-functional teams to translate business requirements into data specifications, providing actionable insights that enhanced strategic planning and operational processes.Executed data cleansing, wrangling, and modeling with Pandas, NumPy, PySpark, and SAS, converting raw data into actionable insights, empowering data-driven decision-making, and bolstering strategic business objectives.

Master'S Degree, Information Technology

Master Of Science - Ms, Data Analytics

Bachelor Of Engineering - Be, Electronics And Communication Engineering

Education record