Data Analyst Machine Learning

Bhavyasri chagarlamudi

Valparaiso, Indiana 219-***-****

*********.************@*****.***

LinkedIn URL

https://www.linkedin.com/in/bhavya

sri-chagarlamudi-17045a250/

Summary

Results-driven Data Analyst with 2+ years of experience in data interpretation and analysis, leveraging data mining and statistical modeling techniques to drive impactful business solutions. Proficient in programming languages including Python, R, and SQL, with expertise in data visualization using Tableau, Power BI, and Excel. Adept at data wrangling, including data cleaning, data transformation, and feature engineering, to manage and analyze complex datasets. Proven ability to deliver actionable insights and predictive analytics to support strategic decision- making. Collaborative team player with strong communication skills, capable of working effectively with both technical and non-technical stakeholders to achieve data-driven goals. Experience in applying machine learning algorithms to real-world problems. Technical Skills

• Programming Languages: Python (Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn), R, SQL, Java

• (Certifications Held) Data Visualization: Tableau, Power BI, Excel (Pivot Tables, Charts, VLOOKUP)

• Databases: MySQL, PostgreSQL, MongoDB, NoSQL databases

• Data Mining: Data Cleaning, Data Transformation, Feature Engineering, Exploratory Data Analysis (EDA)

• Statistical Modeling: Regression Analysis, Hypothesis Testing, Time Series Analysis

• Tools & Platforms: Git, GitHub, Docker, Jira, Agile Methodologies

• Operating Systems: Windows, Linux

• ETL Tools: Informatica, Apache NiFi (Basic Knowledge)

• Statistical Packages: SAS, SPSS (Basic Knowledge) Education

Master of Science in Information Technology

Valparaiso University, Valparaiso, Indiana

Graduation Year: May 2025

Relevant Coursework: Database Management, Data Warehousing, Data Mining, Machine Learning, Statistical Analysis, Cloud Computing

GPA: 4.0

Bachelors in Electronics and Communication Engineering Mallareddy Institutions, Hyderabad, India

Graduation year: July 2023

Relevant Course work: Python (Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn), R, SQL, Java GPA: 3.8

Professional Experience

Data analyst – Valpo velvet Tech (Jan 2025-May 2025)

• Collected, cleaned and analyzed student data using SQL and Python (Pandas, NumPy) to support data-driven retention strategies

• Developed and published interactive dashboards using Tableau for academic performance monitoring, providing actionable insights to stakeholders.

• Performed exploratory data analysis (EDA) and implemented statistical modeling techniques to identify trends, outliers, and correlations in student metrics.

• Automated data reporting workflows using Python scripting, resulting in a 40% reduction in monthly manual reporting time, increasing efficiency and data accuracy.

• Utilized data warehousing concepts to efficiently store and manage IT Security Case Studies at Valparaiso University

• Conducted in-depth security assessments and proposed risk mitigation strategies

• Evaluated email service security for university IT infrastructure

• Assisted in investigations of compromised Linux workstations and credential theft cases Backend Developer (VLSI with data processing focus) Pantech.AI (Dec 2022- June 2023)

• Developed backend modules with integrated data analytics capabilities to optimize system performance and enable real-time monitoring.

• Utilized SQL and Python to extract, transform, and analyze sensor data, supporting hardware-software integration and facilitating data-informed decision-making

• Produced comprehensive data summaries and reports for internal technical assessments and engineering insights, contributing to improved product development.

• Coordinated with cross-functional development teams to integrate data pipelines into monitoring dashboards, enhancing visibility and facilitating data-driven collaboration.

• Implemented data validation techniques to ensure data quality and accuracy throughout the data processing pipeline.

Additional Projects

Number Plate Detection in Low-Light Conditions Using Embedded Systems

• Conducted data-driven analysis of vehicle images captured under low-light conditions to improve number plate detection accuracy using MATLAB.

• Collected and preprocessed image datasets by applying statistical and image enhancement techniques (e.g., histogram equalization, noise filtering) to ensure data quality and consistency.

• Developed algorithms to extract meaningful patterns and features from image data, enabling accurate segmentation and recognition of number plates.

• Evaluated model performance using metrics such as detection rate, false positives, and processing time, and iteratively refined techniques to improve analytical accuracy.

• Demonstrated the practical application of data analysis and visualization techniques in traffic monitoring and surveillance systems.

Non-Profit Organizational Project (Street Cause)

.

• Collected, organized, and analyzed events and outreach data to measure the impact of various social initiatives, supporting data-driven decision-making for resource allocation.

• Created detailed reports and dashboards to track volunteer participation, fundraising outcomes, and project effectiveness using tools like Excel and Google Sheets.

• Led documentation efforts by maintaining accurate records of meetings, campaigns, and budgets, ensuring transparency and accountability across the organization.

Contact this candidate