Data Analyst - Automation & Data Engineering Specialist

Ashrita Mishra

Jersey City, NJ 551-***-**** ***************@*****.***

SUMMARY

Data analyst with 3+ years of experience in data analysis and data engineering, specializing in automation and optimization. Proficient in Python, R, SQL, and big data tools, including Hadoop, Spark, Databricks, cloud platforms AWS and Azure. Created dashboards in Tableau, enabling a 25% increase in data-driven decision-making across teams. Streamlined workflows in Agile teams, achieving a 20% improvement in project delivery timelines. Holds a Master of Science in Computer Science from the Pace University. SKILLS

• Methodologies: SDLC, Agile, Waterfall

• Programming Languages: Python, Java, R, SQL

• IDEs: Visual Studio Code, PyCharm, Jupyter Notebooks

• Packages: NumPy, Pandas, Matplotlib, SciPy, Seaborn, Ggplot2

• Visualization / ETL Tools: Tableau, Power BI, Microsoft Excel, Looker, SSIS, Informatica, Talend, Git, GitHub

• Machine Learning & Deep Learning: Scikit-learn, OpenCV, TensorFlow, Keras, PyTorch, PySpark, SAS

• Cloud Platforms: AWS, Azure, Snowflake

• Big Data Technologies: Hadoop, MapReduce, Hive, Apache Spark, Pig, Databricks

• Database: MySQL, PostgreSQL, Microsoft SQL Server

• Operating System: Windows, Linux

EDUCATION

Pace University, Seidenberg School of Computer Science and Information Systems May 2025 Master of Science, Computer Science NY

JB Institute of Engineering and Technology Sep 2022 Bachelor of Technology, Electronics and Computer Engineering India EXPERIENCE

Citi Group Jan 2025 - Present

Data Analyst NJ

• Developed and deployed over 10 critical dashboards utilizing Power BI, resulting in a 30% increase in data visibility and a 25% boost in decision-making efficiency.

• Created and implemented 5 API endpoints for data integration, cutting system downtime by 40% and speeding real-time data processing

• Automated data extraction with multi-threaded Python scripts, which enhanced efficiency by 50% while minimizing manual tasks by 70%.

• Led the initiative for KPI reporting, providing accurate and timely performance metrics that elevated data-driven decision making by 20% and fostered greater team accountability.

• Managed data operations in Microsoft SQL Server Management Studio (SSMS) by writing complex SQL queries that reduced report generation time by 35% and ensured data accuracy for business stakeholders

• Orchestrated a large-scale migration project from internal servers to AWS and Digital Ocean, which elevated data accessibility by 40% and upgraded system reliability by 30%.

• Refined ETL processes, achieving a 30% boost in data accuracy and consistency across different systems, which streamlined operations and strengthened decision-making capabilities.

• Transformed Google Sheets and Looker to create interactive reports and dashboards, increasing stakeholder engagement with data by 20%.

• Implemented and deployed machine learning models with Scikit-learn and TensorFlow, achieving a 25% improvement in predictive accuracy. Informative Web Solutions Jan 2021 - Aug 2023

Data Analyst India

• Collaborated with cross-functional teams in Waterfall environments, driving data solutions that improved business decision making, resulting in a 10% increase in operational efficiency.

• Engineered and maintained automated data pipelines using Python (Pandas, NumPy) and AWS services (S3, Redshift, Glue), reducing manual reporting time by 30%.

• Designed interactive dashboards using Tableau and Power BI to visualize key performance metrics, enabling realtime sales performance tracking and leading to a 10% increase in quarterly revenue.

• Cleaned and wrangled messy datasets using Python and R (ggplot2, SciPy), ensuring high data quality and accuracy, which reduced data processing time by 25%.

• Built custom VBA macros in Microsoft Excel to automate complex reporting tasks, improving reporting accuracy and reducing manual effort by 40%.

• Created ad-hoc reports using SQL queries on MySQL databases, delivering insights that led to a 5% reduction in customer churn through personalized customer engagement initiatives.

• Collaborated with cross-functional teams, including marketing and operations, to define key business metrics, ensuring data driven decisions aligned with overall company goals, leading to a 20% improvement in targeted marketing strategies.

• Executed comprehensive data cleaning techniques, addressing missing values and outliers, which enhanced dataset integrity by 30% and boosted overall data quality for analysis.

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