Praseep Sandra
Denton,TX
Summary
Detail-oriented and analytical data professional with hands-on experience in data analysis, statistical modeling, and data engineering. Proficient in Python, SQL, and data visualization tools with a strong background in EDA, predictive modeling, ETL pipelines, and cloud-based data workflows. Experienced in building interactive dashboards, optimizing data pipelines, and implementing data quality checks to deliver accurate and actionable insights. Adept at collaborating in Agile, cross-functional teams to support data-driven decision-making. Seeking a full-time Data Analyst or Data Engineer role to apply technical expertise and contribute to impactful, data-driven solutions within a forward-thinking organization.
Overview
5
5
years of professional experience
Work History
Graduate Data Analyst
Indiana Wesleyan University
08.2023 - 10.2024
- Performed EDA and predictive modeling on large datasets using Python (Pandas, NumPy, Scikit-learn) and SQL, improving model accuracy by ~20% through feature engineering and tuning.
- Built interactive dashboards in Tableau and Power BI to analyze healthcare and retail data, enabling clear visualization of trends and KPIs.
- Developed a customer segmentation model using K-Means and PCA for targeted marketing insights in an e-commerce capstone project.
- Designed and implemented a data pipeline using AWS S3, Glue, and Redshift to support automated reporting for a finance use case.
- Collaborated in Agile teams, used Git/GitHub for version control, and delivered weekly updates in cross-functional academic-industry projects.
Systems Quality Assurance Analyst
Tata Lockheed Martin Aerostructures Limited |
12.2021 - 06.2022
- Analyzed quality control datasets to identify defect patterns and process gaps, reducing errors by 25% through data-driven insights.
- Created and maintained Excel- and Tableau-based dashboards to monitor real-time quality metrics, trends, and performance indicators.
- Automated data collection and reporting workflows, improving data accuracy, consistency, and turnaround time for quality reports.
- Collaborated with cross-functional teams (operations, production, and quality assurance) to support and implement data-backed quality improvements.
- Performed root cause analysis on recurring quality issues and documented findings to support corrective and preventive actions.
- Standardized reporting templates and data validation checks to ensure reliability and repeatability of quality metrics.
- Supported continuous improvement initiatives by tracking quality KPIs and highlighting deviations from standards.
- Assisted in documenting process improvements and SOP updates based on data analysis and reporting outcomes.
Data Engineer
BSS Business Consultancy Pvt.Ltd
05.2019 - 11.2021
- Performed exploratory data analysis (EDA) and predictive modeling on large datasets using Python (Pandas, NumPy, Scikit-learn) and SQL, improving model accuracy by ~20%.
- Built customer segmentation models using K-Means clustering and PCA to support targeted marketing strategies in an e-commerce capstone project.
- Designed and maintained interactive dashboards using Tableau and Excel / Power BI to visualize healthcare, retail, and quality metrics for data-driven decision-making.
- Analyzed quality control data to identify defect patterns and reduce process errors by 25%, supporting continuous improvement initiatives.
- Automated data collection and reporting workflows, improving reporting accuracy, consistency, and turnaround time.
- Designed and maintained scalable data pipelines using Python, SQL, and Spark, supporting analytics and downstream reporting use cases.
- Managed and optimized ETL processes, improving query efficiency and performance by 25%.
- Developed and deployed cloud-based data pipelines using AWS S3, AWS Glue, and Amazon Redshift to enable automated reporting for finance-related use cases.
- Implemented automated data quality checks and validation rules to ensure data integrity and reliability across datasets.
Education
Master of Science - Data Analytics Management
Indiana Wesleyan University
Marion, IN10-2024
Bachelor of Technology - Aerospace Engineering
Lovely Professional University (LPU)
Punjab, India 07-2022
Skills
Programming Languages: Python, SQL, Bash, Java, Scala
Data Processing & Engineering Tools: Apache Spark, Hadoop, Kafka, Airflow, AWS Glue
Databases & Data Warehousing: MySQL, PostgreSQL, MongoDB, Amazon Redshift, Google BigQuery, Snowflake
Data Visualization: Tableau, Power BI, Matplotlib, Seaborn, Looker
Cloud Platforms: AWS (S3, EC2, Lambda), Microsoft Azure, Google Cloud Platform
Big Data Technologies: Hadoop Ecosystem, Spark, Hive, Pig
ETL Tools: Talend, Informatica, Apache NiFi
Machine Learning & Statistical Tools: Scikit-learn, TensorFlow, Pandas, NumPy, Statsmodels
Key Strengths: Analytical Thinking, Problem-Solving, Communication, Collaboration, Attention to Detail, Time Management, Adaptability, Critical Thinking
Timeline
Graduate Data Analyst
Indiana Wesleyan University
08.2023 - 10.2024
Systems Quality Assurance Analyst
Tata Lockheed Martin Aerostructures Limited |
12.2021 - 06.2022
Data Engineer
BSS Business Consultancy Pvt.Ltd
05.2019 - 11.2021
Master of Science - Data Analytics Management
Indiana Wesleyan University
Bachelor of Technology - Aerospace Engineering
Lovely Professional University (LPU)