Manideep Reddy

I'm an aspiring

Hello! A Bit About Me...

As an aspiring data scientist, I am passionate about uncovering the stories hidden within large datasets and using my analytical skills to find patterns, connections, and trends. I am seeking opportunities as a data analyst, data scientist, machine learning engineer, or artificial intelligence engineer where I can use my skills to provide data-driven insights and solutions to business challenges.

With a diverse skill set, analytical mindset, and data-driven approach, I excel at extracting actionable insights and creating valuable products from large amounts of data. I am highly organized and disciplined, setting realistic timelines and meeting deadlines. As a problem solver, I have a talent for identifying root causes and developing elegant, innovative solutions.

I hold a strong set of core values that guide my decision-making and make me a trustworthy and reliable individual in any environment. My motto is to dream big, work hard consistently towards those dreams, and never give up no matter how long it takes to achieve them.

Areas of Interest

Take a look at some of the technologies I would absolutely love to work on!

Machine learning

The field of machine learning (ML) has revolutionized the way businesses operate, allowing them to reduce their time to market, create more personalized experiences for customers, and make informed strategic decisions.

Deep Learning

Deep Learning is changing the landscape of work in every business sector from Medical Image Analysis and Sports Analytics to Traffic Jam control, especially using Computer Vision.

Data analytics

By leveraging data analytics, organizations can transform their data into actionable insights, leading to smarter decision-making, increased profits, and satisfied customers.

Data visualization

Visualization is a powerful tool for telling stories with data, by distilling large amounts of information into easily digestible, insightful graphics. It requires both strong analytical skills and the ability to effectively communicate findings through compelling storytelling.

Resume

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Education

Masters in Data Science

Aug 2022 - Apr 2024

University of Pacific

  • Relevant Coursework:
    • Machine Learning
    • Data Engineering
    • Linear Algebra
    • Data Analytic Computing
    • NoSQL Databases
    • Probability

Bachelor of Technology in Electronics and Communication

Jun 2018 - Jul 2022

Vignan Bharathi institute of technology(JNTU), Hyderabad, India

  • Percentage: 75%
  • Graduated with Distinction
  • Relevant Coursework:
    • Artificial Neural Networks
    • Machine Learning
    • Data Base Managemant Systems(DBMS)
    • Calculus

Certifications

Professional Experience

Data Analyst Intern

Mar 2022 – Jun 2022

Cognizant (JP Morgan client), Hyderabad, India

  • Conducted financial data analysis for JP Morgan, including creating reports and visualizations to communicate findings.
  • Improved financial data accuracy by 15% through regular data cleansing and validation processes.
  • Developed expertise in financial data analysis tools, including SQL, Tableau, and Python.
  • Gained experience working with large data sets, as well as developing and presenting reports and visualizations.

Data Science Intern

Apr 2021 – Sep 2021

The Sparks Foundation, Hyderabad, India

  • Performed sentiment analysis on Amazon product reviews to gain insight into customer opinions and purchasing behaviors.
  • Identified potential product issues, such as safety, quality, or customer service problems.
  • Utilized natural language processing techniques and machine learning algorithms to analyze and classify review text data.
  • Collaborated with team members using Version Control Systems such as Git to organize modifications and assign tasks.

Artificial Intelligence Intern

Jun 2019 – July 2019

Smart bridge Services with IBM, Hyderabad, India

  • Developed a proper early detection system capable of modeling past transactions with an accuracy of 97%.
  • Dataset includes 284,807 transactions and 28 Primary Components of the initial characteristics.
  • XGBoost Classifier is used in the proposed model to handle the skewed data and detect fraud transactions.
  • Reduced the number of variables in the dataset while retaining as much data as possible using Principal Component Analysis (PCA).

Skills

Machine Learning Algorithms



Deep Learning



Statistics



Data Visualization



Databases



Python and R Libraries



Soft Skills

Contact

Let's collaborate to build actionable solutions unleashing the power of Data. Get in touch to make your data talk!

Location:

1035 Aster ave, Sunnyvale,94086,CA

Call:

+1 (415) 902 1124