Data professional with 3 years of experience in Python, SQL and AWS

Sanjeel Bhosale

Dallas, TX ● 469-***-**** ● **************@*****.*** ● LinkedIn

Innovative data professional with 2 years of experience in Python, SQL and AWS, specializing in ETL processes and data visualization. Skilled in transforming complex data into actionable insights that drive efficiency and innovation. Skilled in building scalable data pipelines and delivering impactful dashboards for business stakeholders. EDUCATION

Master of Science in Information Technology and Management, UNIVERSITY OF TEXAS AT DALLAS Dallas, TX

• Courses: Python, SQL, Data Analytics and Visualization, Business Intelligence, Cloud GPA: 3.9 Bachelor of Science in Computer Science, UNIVERSITY OF MUMBAI Mumbai, India

• Courses: DS, Statistics, Programming, Advanced Databases, Machine Learning GPA: 3.8 EXPERIENCE

JINDAL SCHOOL ANALYTICS LAB, Data Analytics Student Consultant Jan 2024 – May 2025 DALLAS, TX Skills - ETL, SQL, Python, PowerBI, AWS

Social Media System AWS Serverless Architecture, S3, Glue, Lambda, Athena, Quicksight

• Implemented pipeline to process over 1M records from a social media platform, improving data availability by 40%

• Streamlined ETL and dashboards to reduce processing time by 30% and increase engagement across 10+ categories Marketing Analytics Business Intelligence, Predictive Analytics

• Analyzed campaign outcomes, applied clustering and developed decision tree model to predict user’s response

• Developed tableau dashboards providing insights to boost conversion rates by 116% and cut marketing costs by 53% WIPRO TECHNOLOGIES, Data Analyst Sept 2021 – Jun 2023 Mumbai, India Skills - ETL, Python, SQL, Tableau, Excel, JIRA, KPIs

• Developed ETL pipelines in Python on AWS for automated extraction, transformation and analysis of customer reports in a web app, optimizing efficiency in a SaaS cloud environment by 40%.

• Designed SQL queries for optimal storage and retrieval of data on AWS, improving database performance and statistical efficiency by 35%.

• Created comprehensive visualizations using Tableau and Excel, providing actionable customer-centric insights and improving data-driven decision making by 20%.

• Implemented quality control measures using JIRA for task management and BI tools to streamline workflows, reducing manual intervention by 30%.

PROJECTS

Credit Fraud Detection Aug 2024 – Dec 2024

• Processed and fine-tuned a logistic regression-based machine learning model achieving an 80% accuracy rate in predicting credit fraud.

• Applied sampling and ensemble techniques to address class imbalance, leading to 15% improved performance. Olympic Data Analysis Jan 2024 – May 2024

• Spearheaded development an automated ETL pipeline using Azure Data Factory, Databricks (PySpark), and ADLS that reduced data processing time by 60%, enabling real-time ingestion and transformation of Olympic data.

• Optimized data models in Azure Synapse Analytics and integrated with Power BI, improving query performance by 40%, delivering actionable insights to support faster decision-making for exploratory sports performance analysis. Advanced Driver Risk Analysis Aug 2023 – Dec 2023

• Constructed a scalable big data pipeline leveraging HDFS, Apache Spark and Apache Hive to process 500+ GB of accident data and reducing query execution time by 50% through optimized Spark transformations.

• Demonstrated visualizations and dashboards using Tableau to effectively communicate complex data insights and enable the exploration of risk factors, resulting in a 25% improvement in data comprehension and consolidation. SKILLS

Certifications: AWS Cloud Practitioner, Data Modeling in Power BI, Python Data Analysis for Healthcare Skills: Data Analysis, Business Intelligence, Data Warehousing, Data Visualization, People Management Programming: Python (Pandas, NumPy, Matplotlib, Requests), R, DotNet, Hadoop, Spark Databases & Cloud: AWS (EC2, Lambda, S3, Glue, Redshift), SQL, Azure, Databricks, PostgreSQL, Oracle SQL, Snowflake Software: Tableau, Power BI, MySQL, DAX, Power Query, R Studio, Microsoft Office, Microsoft Excel

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