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Spandan Das

Data Science. Music. Data Science
  • Pune, Maharashtra, India
  • Machine Learning, Data Science, Database Analysis
Profile Snapshot
Spandan is based out of Pune & has studied CS-Computer Science, BE BTech-Bachelor of Engineering or Technology from Year 2015-2019 in SRMIST-SRM Institute of Science and Technology, SRM University.
Spandan Das is Skilled in Machine Learning, Data Science, Database Analysis and other talents.
Work Experience
Intern
National University of Singapore
Internships Jun-2018 To Jul-2018 (1 month)
Responsibilities
  • Led a team of 5 to successfully deliver a project on Market Research Analysis of Zomato Restaurant Reviews. Collaborated with fellow interns and project mentors to devise solutions in order to uplift the poor performing restaurants through root cause analysis. Identified demographics where potential of Business Growth is high.
Intern
Institute of Physics, Bhubaneswar
Internships Jun-2017 To Jul-2017 (1 month)
Responsibilities
  • Researched on Quantum Computers and their applications in performing computations and integrating machine learning capabilities

» 3 Projects

Medical Sentiment Analysis using Social Media
Student at SRMIST-SRM Institute of Science and Technology
Feb-2019 to Mar-2019
Performed Sentimental Analysis to classify and predict the effectiveness of drugs for various ailments based on posts and comments made by the users on Medical Forums. Established a benchmark accuracy in the same. Utilized Word Embedding and Bidirectional LSTM.
UCLA Admission Chance Analysis
Student at SRMIST-SRM Institute of Science and Technology
Jan-2019 to Feb-2019
Performed Analysis of Variance and Predictive Modelling to study the factors that affect the chances of admission in UCLA. Used Python, Advanced Excel for the Modelling and Analysis respectively.
Crop Classification and yield prediction
Student at SRMIST-SRM Institute of Science and Technology
Sep-2017 to Oct-2017
Led a team of 4 towards the successful completion of the project for SRM Hackathon, 2017. Mined agricultural data through various sources. Performed data preprocessing and implemented Naive Bayes Classifier to get the best results among other classifiers.
Education
Bachelor of Engineering or Technology
SRM Institute of Science and TechnologySRM University
2015-2019
Extra-Curricular Interests
  • NGO Volunteering
  • 8 Ball Pool
  • Writing
  • Table Tennis
  • Swimming
  • Driving
  • Guitar
  • Reading
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