firstname.lastname@example.org +91-836******* Hubli, Karnataka (IN)
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Machine Learning Research Intern. Oct. 2019 – Present Machine Learning Research Intern under Dr. Kamlesh Vyas. Delhi, IN
Performing exploratory research in the field of supervised machine learning for the Employee Attrition of a company.
Undertaking the creation of research proposals, implementation of algorithms and documentation of results as a part of the daily tasks.
Comparing popular algorithms of Linear, Instance and Ensemble modelling to attain improvements in the employee turnover rate.
Career Launcher Aug. 2019 – Sept. 2019
Finance Market - Machine Learning Intern Delhi, IN
The main objective of the internship was to create numerous data analytical visualization and prediction for a specific stock.
Applied machine learning algorithms and garnered inferences for datasets of numerous Indian Stocks.
Was an integral member of the Infosys stock team where we attained a high accuracy, 85%, for the prediction algorithms. PROJECTS
Detection and Threat Classification of Abandoned objects. Sept 2019 - Present Research Project, Datasets: PETS, ABODA
Objective: Obtain cutting edge results, equivalent to the current research papers.
Goal: To create an application which locates abandoned objects in a video feed and classification of the threat level presented by it.
Result: Obtained a high accuracy for the detection of objects in the video.
Progress: Currently developing the threat classification model pipeline. Good Reads: Analysis and Book Recommendation Jul 2019 – Aug 2019 Goodreads Dataset. (Kaggle)
Objective: Perform exploratory data analysis and build a recommendation model.
Goal: To create a model which has an accuracy of over 90%
Result: A model based on KNN was created to recommend books derived from the relationships discovered.
Accolades: Gained a silver medal for the Kernel created on the site, being the best kernel for the dataset. NYC JOBS: Interactive Maps and Data Wrangling Jul 2019 – Aug 2019 New York Jobs Dataset (Kaggle)
Objective: Perform exploratory data analysis and gain an insight to the type of skills required.
Goal: To create maps and word-clouds from the raw data.
Result: Interactive maps, with all the openings located, were made available for the user
Accolades: Gained a bronze medal for the Kernel created. Other Projects of Note: Polaroid- PageRank Implementation, Bunky – Android application. Stock Price Predictor. Movie Recommendation Engine. Twitter Sentiment Analysis. CyWeather: Weather prediction in C++. Handwriting Recognizer – MNIST EDUCATION
KLE Technological University Graduating in 2021
B.E. Computer Science, Junior Year Hubli, Karnataka
Held a workshop on Python and Image Processing, Sophomore Year.
A core member of the CodeChef Campus Chapter.
ACCOLADES & CERTIFICATIONS:
India Police Hackathon 2019:
National Finalist in the government hosted hackathon. Amongst the top 12 from over 100 teams. University of Helsinki:
Certification: Certified in Elements of AI, with respective, detailed articles. DataDriven:
Ranking: Was in the top 12% worldwide for Blood Donation Prediction. SKILLS & INTERESTS
Skills: Exploratory Data Analysis, Machine Learning Algorithms (Regression, Ensemble Models), Deep learning models. Product Pitching, Data Modelling and forecasting.
Interests: Kaggle Kernels, Writing, Swimming, Reddit, Voracious Reader, Travelling, Burgers.