About Malavika Loka

  • Are you open to working remotely? Yes
  • Please Enter All Locations You Are Open to Work (each line will be each city, country location)
    United States(any state)
  • Allow Profile Promotion To Recruiters/Companies Yes
  • Allow Profile Promotion on Social Media Yes
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About me

I am a Diligent Data Scientist who currently pursuing masters in State University of New York at Buffalo majoring in Data Science. I’m a keen and enthusiastic Learner who is capable in Programming Concepts, Python, SQL , R, MATLAB, Spark. Analytical and skilled in machine learning, programming statistics, probability, problem solving, data visualization and also understanding business problems to develop systems that improve functionality. I am looking for full time opportunities in the field of Data Science starting from January 2023. Looking forward to leveraging my knowledge and experience to solve real-world business problems.

Technical skills:
Programming: Python, R, C, SQL, MATLAB
Data Visualization: Tableau, Power BI, MS – excel
Web Development: HTML, CSS
Machine Learning Frameworks: NumPy, Pandas, Tensor flow, Scikit Learn, SciPy
Databases: PostgreSQL, SQLite, MySQL
Tools: Jupyter notebook, Github, VScode

Education

  • 2021 - Present
    University at Buffalo, The State University of New York, New York

    Masters in Data Science

    Relevant Coursework: Statistical Learning and Data Mining, Machine Learning, Data Models and Query Language, Analysis of Algorithms, Linear Algebra and Advanced Probability

  • 2017 - 2021
    IIIT Sri City, Chittoor, Andhra Pradesh, India

    Bachelor of Technology in Electronics and Communication Engineering

    Relevant Coursework: Algorithms, Data Structures, Machine Learning, Neural Networks(CNN, ANN, RNN)), Multivariate analysis, Digital Image Processing, Predictive and statistical modeling, Probability.

Experience

  • 2022 - 2022
    Revolutionary Integration Group Inc, CT, United States

    Data Analytics Intern

    ● Designed an application to read and diagnose the chest X-ray images.
    ● Applied Transfer learning using various deep learning models such as DenseNets, ResNet50 to train the images.
    ● Deployed the models on AWS in order to connect with the front-end web functionalities.

  • 2020 - 2020
    SQUPUS Pvt Ltd, Hyderabad, India

    Developer Intern

    ● Created a face-recognition model utilizing Convolutional Neural Networks(CNN) for the real-time application.
    ● Developed an application for both Real-time Detection and detection from videos.
    ● Explored ways to visualize and send a daily report of test results to team members using HTML, Javascript, and CSS.

Languages

English
Proficient
Hindi
Intermediate
Telugu
Proficient

Skills

c CSS HTML Machine Learning Frameworks Matlab Ms Excel MySQL Neural Networks PostgreSQL Power Bi python R SQLite Tableau
 
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