Gopichand Muppaneni
Woodbridge,NJ
Summary
Entry-level Data Analyst with hands-on experience building data pipelines and analytical solutions using Python, SQL, and Excel, supported by academic research and industry internship experience. Developed real-time analytics solutions for vehicle detection, tracking, and directional counting using machine learning and computer vision, transforming unstructured video data into structured datasets for reporting and analysis. Experienced in data cleaning, validation, exploratory analysis, and generating actionable insights. Strong foundation in cloud-based data handling, analytical documentation, and cross-functional collaboration. Actively seeking a junior or entry-level data analyst role.
Overview
3
3
years of professional experience
1
1
Certification
Work History
Research Assistant
Eastern Illinois University
08.2025 - Current
- Used SQL to query and validate academic datasets (student performance, submissions, attendance) for accuracy and trend analysis.
- Applied Python (Pandas, NumPy) to clean, organize, and analyze structured course data, supporting performance tracking and reporting.
- Assisted faculty with generating analytical summaries and insights to support data-driven course planning and evaluation.
- Leveraged AWS Cloud (basic services) to access, store, and manage datasets used for coursework and analytical exercises.
- Built and maintained structured datasets and reports using Excel and Python to reduce manual processing and improve data consistency.
- Supported students in understanding data analysis workflows, including querying data, interpreting results, and validating outputs.
Intern
ITC Limited
05.2025 - 07.2025
- Developed a real-time vehicle detection, tracking, and counting analytics pipeline using Python, YOLOv8, and OpenCV to extract structured insights from video data.
- Processed CCTV video streams frame-by-frame and filtered detection results to isolate relevant vehicle classes (cars, trucks, motorbikes, bicycles).
- Implemented a centroid-based object tracking algorithm using NumPy and SciPy to assign persistent IDs and track vehicle movement across frames.
- Designed directional counting logic using virtual reference lines to classify vehicle movement as incoming or outgoing, enabling traffic flow analysis.
- Logged frame-level vehicle counts with timestamps and exported results to Excel using Pandas for reporting and downstream analysis.
- Applied confidence thresholds and model filtering to improve detection accuracy and reduce false positives
- Performed exploratory review of output datasets to validate trends, peak traffic periods, and counting accuracy.
- Documented system workflow, data processing steps, and analytical logic to support reproducibility and future enhancements.
Graduate Assistant
Eastern Illinois University
01.2025 - 05.2025
- Coordinated scheduling for departmental meetings and events.
- Managed student inquiries and provided information on academic resources.
- Managed multiple tasks simultaneously while meeting deadlines under pressure.
Project Intern
VNR VJIET
01.2024 - 06.2024
- Conducted a comparative data analysis of multiple machine learning and deep learning models to classify mushrooms as edible or poisonous using a structured categorical dataset.
- Preprocessed and analyzed a Kaggle dataset of 8,124 records with 22 categorical features, applying label encoding and train–test split for model readiness.
- Implemented and evaluated 12+ algorithms, including Bayesian Ridge, Elastic Net, Perceptron, LSTM, GRU, Transformer, and Autoencoder models using Python and Scikit-learn.
- Compared model performance using accuracy, precision, recall, ROC-AUC, Cohen’s Kappa, and MCC, enabling data-driven model selection.
- Performed exploratory data analysis (EDA) to understand feature behavior and class distribution prior to model training.
- Created visual analytics including bar charts, ROC curves, and comparison plots using Matplotlib, improving interpretability of results.
- Documented methodology, evaluation metrics, and findings to support reproducibility and analytical reporting.
Instrumentation Intern
Industrial Electricals & controls
05.2023 - 07.2023
- Assisted in the design and manufacturing of metal detector panel boards, applying principles of electronics and instrumentation.
- Gained hands-on experience with electrical instrumentation equipment and industrial assembly processes.
- Supported testing, troubleshooting, and calibration of control systems to ensure functionality and reliability.
- Collaborated with senior engineers to understand production workflows, safety protocols, and instrumentation applications in an industrial environment.
Education
Master of Science - Computer Technology
Eastern Illinois University
Charleston05.2026
Bachelor - Computer And Electronic Engineering
VNR Vignana Jyothi Institute of Engineering
India05.2024
Skills
- Languages & Querying: Python, SQL
- Data Analysis: Data Cleaning, Data Validation, Exploratory Data Analysis (EDA), Feature Encoding, Train–Test Split
- Visualization & Reporting: Matplotlib, Excel Reporting, ROC Curves, Performance Comparison Charts
- Machine Learning: Classification Models, Model Evaluation, Accuracy, Precision, Recall, ROC-AUC, Cohen’s Kappa, MCC
- Computer Vision: YOLOv8, Object Detection, Object Tracking, Video Frame Analysis
- Libraries & Tools: Pandas, NumPy, SciPy, OpenCV, Scikit-learn
- Cloud: AWS Cloud (Foundational), S3 Basics
- Soft Skills: Analytical Thinking, Problem Solving, Communication, Documentation, Time Management
Accomplishments
- Earned AWS Certified Cloud Practitioner certification, demonstrating foundational knowledge of cloud computing concepts, AWS core services (compute, storage, networking), security, pricing models, and cloud best practices.
- Gained hands-on understanding of AWS services such as EC2, S3, IAM, and cloud-based data storage concepts relevant to analytics workloads.
- Completed a 3-month intensive Python programming course at Naresh i Technologies, covering core Python, data structures, and applied programming concepts.
- Developed practical skills in Python for data analysis, including data manipulation using Pandas and NumPy, scripting, and problem-solving through real-world exercises.
- Strengthened ability to write clean, reusable Python code and apply programming logic to data processing and analytical tasks.
Certification
- Azure AI Engineering: Speech, Language, and Vision Solutions – LinkedIn Learning, Issued May 2025 Skills: Artificial Intelligence (AI), Application Development, Microsoft Azure
- Introduction to Artificial Intelligence – LinkedIn Learning, Issued May 2025 Skills: Artificial Intelligence (AI)
- Microsoft Azure AI Essentials: Workloads and Machine Learning on Azure – LinkedIn Learning, Issued May 2025 Skills: Machine Learning, Microsoft Azure
- Python: Working with Predictive Analytics (2019) – LinkedIn Learning, Issued May 2025 Skills: Predictive Analytics
- Python 101 for Data Science – Cognitive Class, Issued Mar 2025 Credential ID: e4f2fb46d47d4624bc08420581461123
- Certified in Python and Advanced Python Programming – Naresh i Technologies, Issued Feb 2025 – Expired Apr 2025 Skills: Data Structures in Python, Pandas, NumPy, Core & Advanced Python
Timeline
Research Assistant
Eastern Illinois University
08.2025 - Current
Intern
ITC Limited
05.2025 - 07.2025
Graduate Assistant
Eastern Illinois University
01.2025 - 05.2025
Project Intern
VNR VJIET
01.2024 - 06.2024
Instrumentation Intern
Industrial Electricals & controls
05.2023 - 07.2023
Master of Science - Computer Technology
Eastern Illinois University
Bachelor - Computer And Electronic Engineering
VNR Vignana Jyothi Institute of Engineering