Machine Learning Power Bi

GULLAPELLY AJAY

Hyderabad, India

Mobile: 917-***-****

Email: ****************@*****.***

LinkedIn: linkedin.com/in/gullapelly-ajay-050308272 Career Objective

Passionate and motivated Computer Science Engineering graduate specializing in Artificial Intelligence and Machine Learning. Seeking a dynamic role to apply my technical skills, problem-solving abilities, and creativity to develop innovative AI solutions. Eager to contribute to cutting-edge projects while continuously learning and growing in a challenging environment. Education

B.Tech in Computer Science Engineering (Artificial Intelligence and Machine Learning) St. Mary's Engineering College, Hyderabad

Aug 2020 - May 2024

Intermediate (MPC)

Narayana Junior College, Hyderabad

Jun 2018 - Jun 2020

Secondary School Certificate (SSC)

St. Theresa's High School, Warangal

Jun 2017 - May 2018

Technical Skills

Programming Languages: Python, C, Java, HTML

Data Analysis & Visualization: Power BI, Excel, SQL

Tools: Microsoft Office

Concepts: Data Structures & Algorithms, Cloud Computing Basics Key Achievements

Trained an Artificial Neural Network achieving 90% accuracy in fake profile detection.

Created Power BI dashboards increasing data insights by 35%.

Completed a cloud internship with 95% satisfaction rating.

Developed a movie recommender system boosting user engagement by 25%. Projects

Sample Super Store Database Analysis (Apr 2023 - Jul 2023) Conducted an in-depth analysis of a sample superstore’s sales data using Power BI. Developed interactive and dynamic dashboards to visualize key performance indicators, trends, and sales patterns. This project provided actionable insights to support strategic decision-making and improve overall business efficiency by highlighting areas of growth and decline. Fake Profile Detection (Oct 2023 - Dec 2023)

Designed and implemented an Artificial Neural Network (ANN) to detect fake profiles with high accuracy. The model was trained on a comprehensive dataset of real and fraudulent user accounts, enabling effective identification of suspicious activity. This system significantly enhances platform security by automating fraud detection, reducing manual review workload, and improving trustworthiness.

Sentiment-Based Movie Recommender System (Jan 2024 - May 2024) Developed a personalized movie recommendation system leveraging sentiment analysis of user reviews and ratings. By analyzing user emotions and preferences, the system generates tailored recommendations, increasing user engagement and satisfaction. This project integrated natural language processing techniques with collaborative filtering to deliver relevant and meaningful content to individual users.

Strengths

Quick learner with strong problem-solving skills

Effective team player with good communication

Strong time management and task completion ability Interests

Exploring advancements in Artificial Intelligence and Machine Learning

Data Science and Big Data Analytics

Cloud Computing and Automation

Software Development and Coding Challenges

Reading tech articles and research papers

Hobbies

Practicing coding and algorithm problems on platforms like LeetCode and HackerRank

Watching tech tutorials and attending webinars

Listening to music and podcasts related to technology and motivation

Playing chess and solving puzzles to improve strategic thinking Languages

Telugu (Native)

English (Fluent)

Declaration

I hereby declare that the information provided is true and accurate to the best of my knowledge. Date :

Signature : Ajay Gullapelly

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