ADITYA GUDE

Cell Phone: 256-***-**** LinkedIn: www.linkedin.com/in/aditya-gude- ad0b4n@r.postjobfree.com OBJECTIVE

Motivated Master of Science in Management Science – Business Analytics graduate with expertise in SQL, data modeling, and data visualization. Seeking a role as a Data Analyst to leverage analytical skills in designing, developing, and maintaining BI solutions. Proficient in Python, R, and data visualization tools like Tableau. EDUCATION

The University of Alabama in Huntsville, Huntsville, AL Aug 2023 Master of Science in Management Science – Business Analytics National Institute of Technology – Andhra Pradesh, India May 2020 Bachelor of Technology in Electronics &Communication Engineering SKILLS & INTERESTS

● Programming Languages: Python, R, SQL, C++, Java script

● Data Visualization: Tableau, Matplotlib, Seaborn

● BI Tools: Power BI, Microsoft BI stack (SSIS, SSRS, SSAS), QlikView, Crystal Reports

● Statistical Modeling: Regression, Time Series Forecasting, Structural Equation Modeling

● Machine Learning: Scikit-Learn, TensorFlow/Keras

● Tools & Technologies: AWS, Heroku, GCP

● Productivity: Microsoft Office Suite (MS Excel, Word, PowerPoint)

● Integrated Development Environment (IDE): Visual Studio Code (VSCode), Juypter Notebook

● Skills: Data Analysis, Data Management, Data Mining, Database Creation, Data Visualization, Machine Learning, Statistical Analysis, Business Intelligence, Data Modeling

EXPERIENCE

Student Specialist – V (Grader) - University of Alabama in Huntsville, Huntsville, AL Aug 2022 – Aug 2023

● Evaluated student assignments, quizzes, and exams for both Introduction to Linear Algebra and Calculus-C courses according to provided rubrics.

● Provided constructive feedback to students, addressing their strengths and areas for improvement.

● Assisted in proctoring and maintaining academic integrity during examinations. Data Analyst - Kish Academy, Andhra Pradesh, India Jun 2019 – July 2022

● Performed data quality checks and applied data cleansing techniques to ensure accurate analysis.

● Utilized statistical modeling techniques, including regression analysis and machine learning, to derive insights from student performance data.

● Developed predictive models to forecast student performance on standardized tests, achieving an accuracy rate of 85%.

● I have implemented targeted interventions based on sentiment analysis of student feedback, resulting in a 15% increase in overall student satisfaction.

● Created and maintained student performance dashboards using Tableau for actionable insights. PROJECTS

Data Analytics – Clustering the transactional data of Red Stone Federal Credit Union Jan 2023 - Apr 2023

● Conducted customer segmentation using machine learning algorithms – K-Means Clustering, Mean Shift, Gaussian Mixture, and Birch algorithms.

● Preprocessed and engineered features to segment the dataset of 16M transactions based on spending patterns.

● Initially, we preprocessed the data using encoding techniques.

● Have done feature engineering of the obtained data set and proceeded with the algorithms. Financial Data Analysis – Revenue Forecasting Apr 2023

● Analyzed historical revenue data and utilized financial modeling techniques to forecast future revenues, incorporating market trends and business growth strategies.

● Utilized Python, SQL, and Tableau for data processing, analysis, and visualization.

● Presented insights and recommendations to executive leadership, contributing to strategic decision-making and business planning. Data Analytics – Prediction on wine quality dataset April 2023

● Analyzed data from 1,500 rows to develop a wine quality grading system created using red wine samples.

● The objective tests of the wines such as pH values, alcohol content, etc., will be used as input features while the output quality scores will be based on sensory data obtained from wine experts. The quality scores will range from 0 (bad) to 10 (good).

● Built ML Classifier Algorithms such as KNN, SVM, Random Forest, and Decision Tree to make the prediction and identify features that impact the quality of the wine. The prediction gave a better understanding of the quality of the red wine.

Data Analytics– Malicious Websites Detection March 2023

● Analyzed data to detect whether a website is good or bad using classification techniques like Naïve Bayes and Decision trees.

● Data collection has a total of 12 features of which 5 are categorical. Data has been preprocessed with missing values and categorical values. New useful features have been added to the existing features.

● Preprocessed data and applied sampling techniques for improved classification results.

● Improved website detection accuracy through effective feature engineering. Data Management – Movie Rental Database October 2022

● Designed a movie rental database utilizing SQL to track customer data for accountant’s record management.

● Utilized SQL for efficient analytical tracking based on rental length, movie type, and cost. Data Modeling – Four Corners Case Study September 2022

● Developed a Financial Planning Model using MS Excel to simulate portfolio financial gain and growth over various periods.

● This model allowed for dynamic levels of portfolio growth by shifting contributions, and potential growth rates and facilitated employees to adjust their financial plan and compare it to their current portfolio.

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