Data Analyst Machine Learning

GOWTHAM NAYANI

Email: **************@*****.*** Mobile: 911*******

Linked in : https://www.linkedin.com/in/nayani-gowtham-94b206233 SUMMARY

Motivated and detail-oriented aspiring Data Analyst with strong skills in Python, SQL, Power BI, and Excel. Proficient in data science libraries such as Pandas, NumPy, Matplotlib, and Seaborn for data analysis and visualization. Adept at transforming raw data into actionable insights to support business decision-making. EDUCATION

Aditya College Of Engineering, Madanapalle, Andhra Pradesh Bachelor in Electronics and Communication Engineering CGPA 7.5 2021-2025 Sri Krishana Reddy Siddartha Junior College, Madanapalle, Andhra Pradesh 71.3% 2019-2021 Vidyodaya English Medium High School, Madanapalle, Andhra Pradesh 8.7% 2018-2019 TECHNICAL SKILLS

• Programming Languages : Python(Procedural & Functional programming, List Comprehension, OOP Concepts)

• Database Management : SQL (DDL, DML, DCL, TCL, Joins, Subqueries)

• Data Analysis Libraries : Pandas, NumPy, Matplotlib, Seaborn

• Data visualization tools : PowerBI (Dashboards, DAX, Data Modeling), Excel (Charts, Pivot Tables, LOOKUP)

• Web Deployment : HTML,CSS

• Platforms : Visual Studio Code, Jupyter Notebook, Google Colab, IDLE ACADEMIC PROJECTS

Predictive Modelling for Hypertension Risk Assessment Using Machine Learning Designed a high-accuracy Hypertension Risk Prediction model using machine learning, employing Fuzzy C-Means and k-means clustering for data segmentation. Applied factor analysis for feature reduction and trained Gaussian Naïve Bayes, Decision Tree, SVC-Polynomial, LDA, QDA, and Logistic Regression models. The SVC-Polynomial model achieved 99.36% accuracy, 1.0 precision, and 0.99 F1-score, correctly classifying 4212 hypertensive and 3556 non-hypertensive patients. Leveraged Python libraries (NumPy, Pandas, Matplotlib) for data preprocessing, visualization, and statistical analysis. Demonstrated the potential of ML in early hypertension detection for preventive healthcare. Arduino radar project

Designed and implemented a low-power ultrasonic radar system using Arduino, integrating a servo-mounted sensor to detect distance, speed, and direction of objects. Leveraged open-source programming to enable real-time data processing and visualization, offering a cost-effective alternative to traditional radar systems. Demonstrated applications in navigation, obstacle detection, and motion tracking with improved energy efficiency and scalability ACHIEVEMENTS

• Scored 77 percentile on the NPTEL Exam-2024

• Awarded project expo certificate, Aditya college of engineering-2023

• Successfully completed advanced data science and python coursework in jspiders institute

• Successfully led a team project with a significant outcome WORK EXPERIENCE

DATA VISUALIZATIONS INTERNSHIP DATAVALLEY [JAN 2025 - APR 2025] Gained hands-on experience in Power BI, creating interactive dashboards using DAX, Power Query, and advanced visualization techniques to analyze and present complex datasets. Developed ETL pipelines, cleaned and modeled data for optimized reporting, and designed dynamic reports with drill-down capabilities for actionable insights. Applied skills in real-world projects involving sales, finance, and operational data to support data-driven decision- making.

Certificate:

https://drive.google.https://drive.google.com/file/d/18pSA3qOkOZuPp3qyB4Mf5y- Osz7KnMsg/view?usp=drivesdk

LANGUAGES KNOWN

English (Fluent) Telugu (Fluent) Hindi

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