Data Analyst Business Intelligence

Atshaya Suresh

•Ph: 847-***-**** •Email: *******.******@*****.*** •GitHub: github.com/Atshaya13/ML_Projects

•LinkedIn: linkedin.com/in/atshaya-suresh-as13/

SUMMARY

Experienced Data Analyst with 3+ years of expertise in data visualization, system management, and business intelligence tools such as Power BI, Tableau, and SQL. Skilled in creating dynamic dashboards, performing ETL processes, and generating reports for data-driven decision-making, with strong proficiency in database design and management. Leveraging predictive analysis, statistical modeling, and machine learning using Python, R, and libraries like Scikit-learn and TensorFlow, actionable insights are driven to improve resource allocation and business strategy. Expertise in complex SQL queries and trend analysis further enhances operational efficiency and accuracy.

SKILLS

Programming & Querying: SQL, Python (Pandas, NumPy, Matplotlib, Seaborn), R, JMP (SAS), SPSS Data Visualization: Tableau, Power BI, Excel (Pivot Tables, Charts) Data Analysis & Modeling: Statistical Analysis, Predictive Modeling, A/B Testing, Regression Analysis Database Management: MySQL, PostgreSQL, MongoDB

ETL & Big Data: Apache Spark, Hadoop, Data Cleaning, Data Wrangling Business Intelligence: Reporting, KPI Dashboards, Performance Analysis Soft Skills: Problem-Solving, Communication, Collaboration, Attention to Detail EXPERIENCE

Chicago Education Advocacy Cooperative

Qualitative Data Analyst Intern • Feb 2024 – Present

• Developed predictive models with 85% accuracy to identify at-risk students early, enabling targeted interventions.

• Built interactive dashboards that increased stakeholder engagement by 40%, translating complex data into actionable insights for policymakers.

• Engineered ETL pipelines that processed 1M+ records, improving data accessibility and reducing manual reporting time by 30%.

• Collaborated with educators and advocacy groups to optimize resource allocation, leading to a 15% improvement in funding efficiency.

• Designed a student dropout prediction model to analyze factors influencing retention, leveraging machine learning techniques for more effective policy recommendations.

• Predicted revenue streams through Donors, Grants and Students using Time-Series ARIMA Model with an accuracy of 92%

Center for Global Trade Integration, Illinois

Data Analyst Intern • Nov 2024 – Feb 2024

• Built an interactive BI dashboard that provided free international trade data to individuals, NGOs, and government agencies.

• Developed a Python-based data pipeline automating the ETL process for over 10,000 trade records monthly, improving data accuracy by 20% and efficiency by 25%.

• Conducted trade data analysis to help underserved communities connect to global markets through accessible data- driven insights.

• Integrated time-series forecasting models to predict trade patterns and provide stakeholders with actionable insights.

Kent Natural Food Co-op, Ohio

Data Analyst Intern • Jan’24 - May’24

• Designed and implemented a MySQL-based inventory management system, normalizing data to 3NF for optimized stock tracking and decision-making.

• Developed a SQL schema with constraints for inventory control and pricing, ensuring data integrity and automation of daily transactions.

• Built SQL queries and reports to analyze sales performance, revenue per employee, product profitability, and inventory trends.

• Created a BI dashboard integrating sales and inventory data, tracking key performance indicators (KPIs) for actionable insights.

• Optimized inventory turnover and purchasing decisions, contributing to $80,571 in profit from $223,738 in sales. Infoedge (Naukri.com), India

Marketing Data Analyst • 2021 – 2022

• Leveraged advanced analytics to enhance sales strategies and client engagement, exceeding sales targets by 30-40% on average and increasing Retention Rate by 15%

• Built dynamic Tableau dashboards to track KPIs for Quarterly Business Reviews, improving decision-making.

• Integrated and cleaned multi-source data using SQL and ETL processes, ensuring data accuracy.

• Conducted statistical analysis and regression modeling to generate insights for data-driven sales and marketing strategies.

• Used predictive modeling techniques to forecast job posting trends, optimizing marketing campaigns for targeted outreach.

Jet Airways India Pvt Ltd, India

Jr. Data Analyst • Jul 2017 – Sep 2018

• Analyzed five years of historical sales data to optimize ticket pricing strategies, increasing revenue by 15%.

• Developed dynamic pricing models using SQL and Python, enabling real-time fare adjustments and improving load factors by 20%.

• Built predictive demand forecasting models, reducing operational inefficiencies and enhancing revenue management.

• Automated data reporting for route profitability and seasonal trends, cutting manual reporting time by 30%.

• Provided competitive pricing analysis for over 50 flight routes, helping revenue management make data-driven decisions.

EDUCATION

Master in Business Analytics

Kent State University • 2023–2024, GPA: 4.00/4.00

Master of Business Administration

Sathyabama University • 2019-2021, GPA: 9.1/10

Bachelor of Science (Mathematics)

Madras University • 2014-2017, GPA: 8.7/10

CERTIFICATION

Google Data Analytics Professional Certificate (2021) Microsoft Certified: Power BI Data Analyst Associate (2022) SQL for Data Science – Coursera (2021)

Contact this candidate