Data Analyst Business Intelligence

Surya Sushma Marellapudi

+1-989-***-**** • ***********@*****.*** • Lake Orion, MI, United States • Open to Relocate • Portfolio • LinkedIn SUMMARY

Results-driven Data Analyst with experience in data analytics, automation, and business intelligence, driving efficiency and strategic insights. Proven expertise in data engineering, predictive modeling, and visualization, optimizing decision-making and operational performance across diverse industries through effective project management and project planning. Information Systems graduate with expertise in data analysis, business intelligence, and cloud technologies, leveraging technology-driven solutions to optimize business processes while applying business analysis, strategic thinking, and creating business proposals to support organisational goals. WORK EXPERIENCE

Rootshell Enterprise Technologies, Inc.

Data Analyst

Dec 2023 — Present

Data Collection & Analysis: Leveraged Python and Azure Data Factory to systematically collect, clean, and analyze large datasets, applying business analysis to identify key trends that improved strategic decision-making and increased market efficiency by 15%. Data Accuracy & Compliance: Implemented automated validation scripts and data standardization initiatives, reducing errors by 20% and ensuring compliance across 14 operational databases in alignment with governance and project planning objectives. Predictive Analytics & Cost Reduction: Developed a predictive model using Python and R, achieving 85% forecasting accuracy and enabling cost optimizations that saved $250K annually through proactive decision-making. Data Visualization & Reporting: Designed and delivered 12 monthly reports and interactive dashboards in Tableau and Power BI, supporting business proposals by expediting data-driven decision-making and boosting sales efficiency by 15%. Data Automation & Efficiency Gains: Automated data aggregation and cleansing workflows with SQL and Python scripts, cutting manual effort from 30 hours to just 2 hours per week, aligning automation with project management efficiency goals. Cross-Functional Collaboration: Worked closely with business analysts and data engineers to refine data pipelines, applying strategic thinking to accelerate time-to-insight and support real-time decision-making. Operational Scalability: Optimized ETL workflows to support scalable data processing, reducing pipeline failures and improving data refresh rates by 40%, ensuring alignment with project planning requirements. Strategic Impact & Business Growth: Enabled data-driven strategy formulation by uncovering actionable insights, directly influencing business growth initiatives, and strengthening business proposals for operational efficiency. Cognizant Technology Solutions

Data Analyst

Dec 2020 — Nov 2022

Data Automation & Error Reduction: Developed Python-based automation scripts for loading data into MS SQL Server, reducing errors by 20% and increasing efficiency while supporting project management workflows. Optimized Data Pre-Processing: Enhanced Business Services analytics by optimizing data pre-processing with Tableau and Python, aligning improvements with project planning to enable flexible report scheduling. Advanced Data Visualization: Designed dynamic dashboards using advanced visualization techniques in Management Information Systems, strengthening business proposals by enhancing stakeholder assessments and accelerating decision-making by 30%. Procurement Data Analysis: Analyzed procurement data using Excel and SQL for Economics research, applying business analysis methods to implement process improvements that boosted efficiency by 20% and provided deeper insights into hiring trends. Automated Data Collection: Streamlined Data Science applications by automating data collection and processing with Python, reducing preparation time by 30% and ensuring alignment with project management execution goals. Data Integrity & Operational Efficiency: Improved data handling by developing Python and PowerShell scripts, enhancing data integrity and streamlining operational processes for greater efficiency. Proactive Issue Resolution: Developed monitoring dashboards and tools using Excel and Python, applying strategic thinking to enable proactive issue resolution and foster better team collaboration through enhanced reporting capabilities. Cutso Foods LLP

Business Analyst

Jun 2020 — Nov 2020

Tolling Equipment Optimization: Developed a Python-PostgreSQL solution to optimize tolling equipment maintenance, reducing corrective repair tickets by 20% and enhancing operational efficiency. Automation & Workflow Optimization: Automated workflows with Power Automate and PowerShell, cutting manual effort by 30% and reducing time complexity by 60%, streamlining business processes. Data-Driven Decision Making: Designed Power BI dashboards for OKR tracking, increasing operational efficiency by 20% and enhancing real-time, data-driven decision-making while supporting project planning and business analysis goals. Predictive Modeling & Project Tracking: Implemented Dynamic Time Warping (DTW) and time series clustering, ensuring 80/20 split reliability for accurate forecasting while integrating Azure Boards for improved sprint visibility and milestone tracking. CERTIFICATIONS

Data Science Professional Certificate: IBM Data Visualization with Tableau: IBM Problem Solving (Intermediate) Certificate: HackerRank Tableau Certification Advanced Machine Learning, Data Science EDUCATION

Central Michigan University - Master of Science, Information Systems K L University - Bachelors, Computer Science

SKILLS

Relevant Skills : Strategic Thinking, Project Planning, Project Management, Business Proposals, Business Analysis Programming Languages : Python, Java, HTML/CSS, JavaScript, React.js Data Analytics & Machine

Learning

: NumPy, Pandas, Excel, Tableau, Power BI, SQL, Data Analysis, Data Visualization, Competitive Analysis, Machine Learning, PyTorch, OpenCV, scikit-learn, Keras, TensorFlow, SAS Cloud & Big Data

Engineering

: Apache Spark, Apache Airflow, AWS Athena, AWS EC2, Azure Data Factory, Databricks, Snowflake, AWS, Azure, GCP

Databases & Storage : MySQL, Snowflake

DevOps & Tools : Git, GitHub, Docker, Splunk, Debugging Business Skills : MS Excel, MS PowerPoint, Agile Methodology

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