Machine Learning Business Intelligence

Prathibha Nekkanti

Philadelphia, US ***** · +1-445-***-**** · *********.******@*****.***

GitHub · LinkedIn · Website

Professional Summary

• Detail-oriented Data Science professional with proven hands-on experience in financial data analysis, SQL reporting, and Python-based automation, including the conceptual design and implementation of an automated financial reporting workflow using Python and Dagster concepts.

• Proficient in data transformation, validation, and insightful visualization using key tools like Python (Pandas, NumPy, Scikit-learn), SQL (advanced queries), Power BI, and Tableau.

• Successfully leveraged data to drive insights in projects such as complex SQL Data Analysis on Chicago Datasets and comprehensive time-series stock analysis for Tesla and GameStop.

• Adaptable and collaborative, with experience in OTBI reporting support and ongoing development in Cloud Machine Learning solutions on Microsoft Azure.

Experience

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Associate Developer New Albany, OH

Enterprise Management Systems Inc. Feb 2025 - May 2025 (Expected)

Designed and implemented a conceptual automated financial reporting workflow using Python and Dagster concepts, collaborating with stakeholders to define requirements.

Practiced data transformation using Kaggle datasets to simulate real-world reporting scenarios, applying robust validation logic to handle inconsistencies and missing values.

Documented project findings and delivered structured reports following Action Research methodology, effectively communicating complex technical concepts to non-technical stakeholders.

Remote

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Staff Consultant Bangalore, India

Oracle Jan 2022 - Jan 2023

Supported Oracle Transactional Business Intelligence (OTBI) reporting tasks, assisting in data extraction and validation activities within a collaborative team environment.

Collaborated closely with team members to learn reporting structures and business requirements, demonstrating strong teamwork and adaptability as an OTBI & Business Intelligence Analyst. Education

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Wilmington University Wilmington, DE

Master of Science: Information Systems Technologies - Information Assurance Expected May 2025

GPA: 3.80/4.00

Relevant Coursework: Information Assurance Integration, Cloud Management, Data Communication and Networking.

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Rashtriya Vidyalaya Institute of Management (RVIM) Bengaluru, India MBA: Business Analytics and Marketing Jan 2021 – Oct 2022

GPA: 7.00/10.00

Relevant Coursework: Business Analytics, Big Data Analytics, Marketing Analytics.

Marketing Event Organizer: Successfully led the planning and execution of marketing events, coordinating teams and resources to achieve objectives.

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Bellary Institute of Technology And Management (BITM) Bellary, Karnataka Bachelor of Technology: Computer Science Engineering Aug 2015 – May 2019

GPA: 6.24/10

Relevant Coursework: Database Management Systems, Data Structures, Software Networks, Operating Systems, Entrepreneurship, Cyber Security and Cloud Computing.

Event Organizer: Organized and managed student events, demonstrating strong organizational and logistical project management skills.

Skills

• Programming Languages: Python, SQL, R, C, Java, C++, HTML, JavaScript

• Libraries Frameworks: Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn, Folium, Plotly, Dash, TensorFlow, PyTorch, OpenPyXL, PySpark

• Databases: SQL (Advanced Queries, Joins, Subqueries, Views, Transactions)

• Tools Platforms: Jupyter Notebooks, Excel, Tableau, Visual Studio, RStudio, Git/GitHub, Microsoft Azure (Azure ML, Azure Databricks), Dagster (Conceptual)

• Soft Skills: Team Collaboration, Communication, Problem-Solving, Adaptability, Analytical Thinking, Storytelling Projects

• Tesla and GameStop Stock Analysis: Performed time-series analysis on Tesla and GameStop stock data using Python and Jupyter Notebooks. Conducted data cleaning, visualization, and financial trend analysis to derive market insights.

• VS ETL Project: Developed a robust Python-based ETL pipeline to extract, transform, and load diverse datasets. Optimized data flow and ensured data integrity for subsequent analysis.

• SQL Data Analysis - Chicago Datasets: Developed advanced SQL queries leveraging joins, subqueries, views, and stored procedures for complex data analysis. Extracted actionable insights from large public datasets.

• Used Car Price Prediction Model Evaluation: Developed and rigorously evaluated machine learning models for used car price prediction using Python (Scikit-learn, Pandas). Optimized models for predictive accuracy and robustness.

• Immigration Data Analysis Visualization: Conducted comprehensive data cleaning, transformation, and visualization using Pandas and Matplotlib to analyze historical global immigration trends and patterns.

• Australia Wildfire Analysis Interactive Dashboard: Performed in-depth analysis of Australian wildfire data, leveraging Matplotlib, Seaborn, and Folium for visualization, and developing an interactive dashboard with Dash and Plotly for dynamic insights.

• Rainfall Prediction Classifier: Built and optimized a machine learning classifier using Random Forest and Logistic Regression to predict rainfall based on historical weather data, including feature engineering and comprehensive model evaluation.

• Cloud Machine Learning Solution Development on Azure: *Ongoing:* Designing and implementing end-to-end machine learning solutions on Microsoft Azure, encompassing data preparation, model training, and MLOps for cloud-scale deployment.

Certifications

• IBM Data Science Professional Certificate

• Microsoft Certified: Azure Data Scientist Associate (DP-100) Professional Certificate (In Progress)

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