Data Analyst Machine Learning

HARI CHANDANA KANNURU

Boston, MA +1-857-***-**** *******.*@************.*** www.linkedin.com/in/hari-chandana-kannuru EDUCATION

Northeastern University, Boston, MA Graduated May 2025 Master’s in Data Analytics Engineering

Relevant Coursework: Data Warehousing and Integration (ETL), Database Management, Machine Learning, Data Mining, Statistical Methods, Computation and Visualization, Operations Research, Financial Management Vignan’s Institute of Information Technology (VIIT), Visakhapatnam, India Bachelor of Technology in Computer Science Engineering Relevant Coursework: Machine Learning, Python Programming, Statistics and R Programming, Artificial Intelligence PROFESSIONAL EXPERIENCE

Data Analyst Intern Summit Global Consulting, Boston, MA Jan 2025 -Apr 2025

Analyzed financial and operational datasets related to government contracts and spending across counties to identify business trends and sector performance

Extracted, structured the data using Python and Excel to compile certified business details, classifications, and financial records. Developed interactive dashboards in Power BI to visualize funding distributions, sector risk profiles, and performance metrics

Delivered insights through executive summaries and data presentations, improving decision-making efficiency for stakeholders PROJECTS

Traffic Accident Severity Prediction- Python (Poisson Regression) Mar 2025

Built a regression model to predict severity of traffic accidents using a dataset of 7.5M+ U.S. records, applying Poisson and Negative Binomial techniques

Cleaned and transformed raw incident data, handled missing values, and optimized preprocessing for model input

Compared models using MAE and AIC scoring, selecting the best-fitting model based on interpretability and performance

Generated insights into risk factors like weather, road type, and vehicle, simulating how changes in conditions impact severity Real-Time Analytics for Air Cargo Operations- AWS, Tableau Dec 2024

Designed and deployed an automated ETL pipeline using AWS Step Functions and Lambda to process multi-format cargo data in real time. Used Glue Crawlers and Athena to generate and query dynamic schema-based tables stored in Amazon S3

Created interactive Tableau dashboards to monitor KPIs like cargo load volumes, delay rates, and service level adherence

Reduced manual reporting time by 100%, improving real-time visibility for logistics teams. Demonstrated skills in cloud-based architecture, workflow automation, and operational data analytics Retail Data Analytics- Talend ETL, Postgres SQL, Power BI Sep 2024

Developed an ETL pipeline in Talend to integrate sales, customer, and inventory data into a reporting-friendly star schema

Modeled and queried structured data using PostgreSQL to drive business intelligence. Created KPI dashboards in Power BI to track product trends, seasonal sales patterns, and customer segmentation insights

Automated reporting and reduced data retrieval time by 60%, enabling timely business decisions Machine Learning for Diabetes Risk Prediction- Python Jan 2024 – Feb 2024

Developed machine learning models to predict diabetes risk based on patient health data using Logistic Regression, Decision Tree, and Random Forest. Conducted data cleaning, feature engineering, and scaling to improve model performance and interpretability. Achieved a ROC-AUC score of 93.32% using tuned Logistic Regression with selected features

Created clear visualizations (ROC curves, correlation heatmaps) to explain model behaviour and insights to non-technical healthcare stakeholders

Agricultural Management System- SQL Oct 2023 - Dec 2023

Designed and implemented a robust relational database system using SQL for efficient data storage and retrieval

Leveraged SQL queries to facilitate seamless interaction with the database. Analyzed the data and enhanced user experience by providing insightful visualizations for crop analysis, resource allocation, and productivity trends TECHNICAL SKILLS AND CERTIFICATIONS

Data Analysis & Programming: Python (Pandas, Seaborn, Scikit-learn), Statistical methods, R, SQL, Machine Learning Financial Tools: Microsoft Excel, Financial Modeling Visualization & BI: Power BI, Tableau, Matplotlib, Data Flourish ETL & Data Integration: Talend, AWS (S3, Glue, Athena) Productivity Tools: Microsoft 365 (Word, PowerPoint, Outlook, Teams) Certifications: CCNAv7 Introduction to Networks, IBM Blockchain Foundation Developer V2, NPTEL Data Analytics with Python HONORS & AWARDS

Designing Actionable Solutions for a Secure Homeland (DASSH) Challenge Northeastern University, USA Feb 2024

Collaborated on designing innovative solutions for the Department of homeland security SENTRY, winning 2nd place nationally PUBLICATIONS

Prediction and Identification of diseases to the crops using Machine Learning VIIT, India Jan 2023

Raj, S. N., Lohit, P., Jyo-Theendra, D., Chandana, K., Nikhil, P., Rao, N. T., & Bhattacharyya, D. (2023). Prediction and Identification of Diseases to the Crops Using Machine Learning. In Lecture notes in networks and systems (pp. 139–145). https://doi.org/10.1007/978-***-**-****-8_14

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