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Data Analyst Business Intelligence

Location:
Little Elm, TX
Posted:
August 25, 2025

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Resume:

Sirini. Pinnamaneni

314-***-**** ******************@*****.***

PROFESSIONAL SUMMARY

Results-driven Data Analyst with 3 years of applied experience in data analytics, statistical modeling, and business intelligence, gained through U.S. industry internship and diverse project-based engagements. Proficient in leveraging tools such as Python, SQL, Tableau, and Power BI to transform complex datasets into meaningful insights that support strategic decision-making. Experienced in building end-to-end data pipelines, automating reporting workflows, and developing predictive models to optimize business performance. Skilled in communicating analytical findings to both technical and non-technical stakeholders, with a strong focus on accuracy, clarity, and impact. Proven ability to thrive in fast-paced, collaborative environments while delivering data solutions aligned with business goals.

Technical skills:

Programming & Scripting

Python (Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn), R

Database Management

SQL (MySQL, PostgreSQL), SQLite

Data Visualization

Tableau, Power BI, Excel, Matplotlib, Seaborn

Data Analysis & Modeling

Exploratory Data Analysis (EDA), Data Cleaning, Statistical Analysis, Predictive Modeling, Regression, Classification, Clustering

Tools & Platforms

Jupyter Notebook, VS Code, Git/GitHub, Google Colab

Project Management

Agile Methodology, Jira, Trello

Cloud & Data Service

AWS (S3, Lambda – beginner), Google Sheets API

PROFESSIONAL EXPERIENCE

Data Analyst

Tech Nova Solutions Oct 2024- Now

Collaborated with data engineering and business intelligence teams to preprocess and analyze large datasets using Python and SQL.

Wrote and optimized complex SQL queries to extract insights from relational databases for reporting and analysis.

Developed interactive dashboards in Tableau to visualize product usage, customer trends, and operational performance.

Built predictive models using logistic regression and decision trees to support customer behavior analysis.

Conducted A/B testing for product and marketing initiatives, interpreting the results to guide business strategy.

Automated data workflows using Python to streamline repetitive reporting tasks and improve efficiency.

Participated in Agile sprints, daily standups, and sprint reviews to ensure alignment with business objectives.

Created clear and concise documentation for dashboards, models, and analysis to support internal knowledge sharing.

Data Analyst June 2021-nov 2022

Aziro Technologies, Chennai, India

Managed and analyzed data across multiple projects to support enterprise software development and decision-making.

Designed Power BI and Tableau dashboards to monitor key business and technical performance indicators.

Conducted exploratory data analysis (EDA) using Python to identify trends, anomalies, and areas for improvement in product usage.

Built and maintained data pipelines using SQL and Python to support reporting and data science projects.

Applied classification and clustering algorithms to identify user behavior patterns and enhance product strategies.

Collaborated with cross-functional teams including product, QA, and DevOps to align data analytics with business goals.

Documented analysis workflows and shared findings through presentations and written reports for technical and non-technical teams.

EDUCATION:

Master’s in information systems in Saint Louis University

Bachelor of Technology – Electronics & Communication Engineering

Geethanjali College of Engineering and Technology

PROJECTS

Fake News Detection System

Built a C#-based web app integrating a Python-trained ML model via REST API.

Enabled detection and flagging of misleading news articles using user-uploaded content.

Integrated user roles for submission and review of flagged content.

AI-Powered Face Mask Detection System

Developed a .NET Core web interface for a real-time camera feed processed via Python/ML backend.

Implemented notification alerts and logs for compliance monitoring.

Banking Awareness Video – Saint Louis University

Scripted and produced a video to help new students understand U.S. banking basics.

New Student Awareness Program – Saint Louis University

Coordinated a digital onboarding experience via Canvas LMS for incoming students.

CERTIFICATION:

Google cloud platform



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