MERUGU ANKUSH REDDY

Analytically minded and results-oriented data science student with a passion for extracting actionable insights from complex datasets. Proficient in statistical analysis, machine learning, and data visualization techniques.Eager to leverage academic knowledge and hands-on experience to contribute to innovative projects and gain practical insights in a dynamic data science internship role and full time role.

• Winner of 10-week internship in Artificial intelligence, machine learning organised by National Instruments and Cognibot.

• Data Structures and Algorithms
• Machine learning
• Object Oriented Programming
• Computer Networking
• Data Science
• Database Management

• Core Team Robotics Club CBIT, CBIT catalysed and supported by the department of Electronics and Technology under the Start-up India project by the Govt. of India.
• Member of Chaitanya Samskruthi, Sponsorship and Management of Events held by Shruthi Cultural and Sudhi Technical Fest of CBIT.

ONLINE PARKING SYSTEM (WEB), Built an Online Car/Bike Parking website which helps to book the parking slot by showing the entries which are empty at the present time., Stored all the details of vehicles along with the start and end time of booking slots in SQLite Database under Django Administration, Django python and SQLite 

WEATHER APPLICATION (WEB), Implemented Weather Finding application, users can find weather by giving their city name or by entering geographical location or by registering in the building and by providing the building number., Used Weather-API to get present weather data at the particular location., with the help of previous data, it will also display minimum and maximum temperature recorded within a week, Django and SQLite 

• ML Training - Coursera
• Deep Learning- Coursera

• NASA Asteroid Dataset Project:Utilized the NASA API to retrieve comprehensive data on asteroids, including their physical characteristics and orbital information.
  Employed advanced data analysis techniques to predict the potential threat level of asteroids to Earth, assessing whether they pose a danger or not.
  Developed predictive models to estimate crucial asteroid attributes such as diameter and velocity, contributing to a better understanding of their behavior and potential impact scenarios.
  Demonstrated proficiency in data manipulation, analysis, and interpretation to derive meaningful insights from complex astronomical datasets.
  Contributed to the advancement of space science by providing valuable insights into asteroid dynamics and potential risk assessment strategies.
  
• Yelp Review Analysis using NLP:Leveraged the Yelp dataset to perform sentiment analysis and extract valuable insights from user reviews using Natural Language Processing (NLP) techniques.
  Implemented cutting-edge NLP algorithms to analyze the textual content of reviews and discern underlying sentiments and opinions.
  Developed a recommendation system to provide personalized suggestions to both Yelp users seeking relevant reviews and businesses aiming to enhance their services based on customer feedback.
  Applied machine learning models to categorize reviews, identify trends, and offer actionable insights to improve user experience and business performance.
  Demonstrated proficiency in NLP, machine learning, and data-driven decision-making to deliver impactful solutions in the domain of customer feedback analysis and recommendation systems for businesses